Overview

Dataset info

Number of variables 242
Number of observations 98393
Total Missing (%) 62.3%
Total size in memory 179.7 MiB
Average record size in memory 1.9 KiB

Variables types

Numeric 34
Categorical 188
Date 0
Text (Unique) 0
Rejected 20

Warnings

  • coordinates_coordinates has 98068 / 99.7% missing values Missing
  • coordinates_coordinates has a high cardinality: 184 distinct values Warning
  • coordinates_type has 98068 / 99.7% missing values Missing
  • created_at has a high cardinality: 89544 distinct values Warning
  • entities_hashtags has a high cardinality: 20741 distinct values Warning
  • entities_media has 75011 / 76.2% missing values Missing
  • entities_media has a high cardinality: 13684 distinct values Warning
  • entities_urls has 33879 / 34.4% missing values Missing
  • entities_urls has a high cardinality: 29672 distinct values Warning
  • entities_user_mentions has 2379 / 2.4% missing values Missing
  • entities_user_mentions has a high cardinality: 16712 distinct values Warning
  • favorite_count is highly skewed (γ1 = 95.43)
  • favorite_count has 80852 / 82.2% zeros
  • favorited has constant value False Rejected
  • geo_coordinates has 98068 / 99.7% missing values Missing
  • geo_coordinates has a high cardinality: 184 distinct values Warning
  • geo_type has 98068 / 99.7% missing values Missing
  • id_str is highly correlated with id (ρ = 1) Rejected
  • in_reply_to_screen_name has 92226 / 93.7% missing values Missing
  • in_reply_to_screen_name has a high cardinality: 4467 distinct values Warning
  • in_reply_to_status_id is highly skewed (γ1 = -21.815)
  • in_reply_to_status_id has 93099 / 94.6% missing values Missing
  • in_reply_to_status_id_str is highly correlated with in_reply_to_status_id (ρ = 1) Rejected
  • in_reply_to_user_id has 92226 / 93.7% missing values Missing
  • in_reply_to_user_id_str is highly correlated with in_reply_to_user_id (ρ = 1) Rejected
  • is_quote_status has 96191 / 97.8% zeros
  • lat has 98068 / 99.7% missing values Missing
  • lon has 98068 / 99.7% missing values Missing
  • metadata_result_type has constant value recent Rejected
  • place_bounding_box_coordinates has 97112 / 98.7% missing values Missing
  • place_bounding_box_coordinates has a high cardinality: 607 distinct values Warning
  • place_bounding_box_type has 97112 / 98.7% missing values Missing
  • place_contained_within has 97112 / 98.7% missing values Missing
  • place_country has 97221 / 98.8% missing values Missing
  • place_country_code has 97115 / 98.7% missing values Missing
  • place_country_code has a high cardinality: 71 distinct values Warning
  • place_full_name has 97135 / 98.7% missing values Missing
  • place_full_name has a high cardinality: 587 distinct values Warning
  • place_id has 97112 / 98.7% missing values Missing
  • place_id has a high cardinality: 609 distinct values Warning
  • place_name has 97131 / 98.7% missing values Missing
  • place_name has a high cardinality: 582 distinct values Warning
  • place_place_type has 97112 / 98.7% missing values Missing
  • place_url has 97112 / 98.7% missing values Missing
  • place_url has a high cardinality: 609 distinct values Warning
  • possibly_sensitive has 17708 / 18.0% missing values Missing
  • quoted_status_created_at has 97639 / 99.2% missing values Missing
  • quoted_status_created_at has a high cardinality: 663 distinct values Warning
  • quoted_status_entities_hashtags has 97642 / 99.2% missing values Missing
  • quoted_status_entities_hashtags has a high cardinality: 225 distinct values Warning
  • quoted_status_entities_symbols has 97639 / 99.2% missing values Missing
  • quoted_status_entities_urls has 97893 / 99.5% missing values Missing
  • quoted_status_entities_urls has a high cardinality: 190 distinct values Warning
  • quoted_status_entities_user_mentions has 97647 / 99.2% missing values Missing
  • quoted_status_entities_user_mentions has a high cardinality: 195 distinct values Warning
  • quoted_status_favorite_count has 97639 / 99.2% missing values Missing
  • quoted_status_favorited has 97639 / 99.2% missing values Missing
  • quoted_status_id has 1110 / 1.1% missing values Missing
  • quoted_status_id_str is highly correlated with quoted_status_id (ρ = 1) Rejected
  • quoted_status_is_quote_status has 97639 / 99.2% missing values Missing
  • quoted_status_lang has 97639 / 99.2% missing values Missing
  • quoted_status_metadata_iso_language_code has 97639 / 99.2% missing values Missing
  • quoted_status_metadata_result_type has 97639 / 99.2% missing values Missing
  • quoted_status_possibly_sensitive has 97807 / 99.4% missing values Missing
  • quoted_status_retweet_count is highly correlated with quoted_status_favorite_count (ρ = 0.96633) Rejected
  • quoted_status_retweeted has 97639 / 99.2% missing values Missing
  • quoted_status_source has 97646 / 99.2% missing values Missing
  • quoted_status_source has a high cardinality: 59 distinct values Warning
  • quoted_status_text has 97742 / 99.3% missing values Missing
  • quoted_status_text has a high cardinality: 565 distinct values Warning
  • quoted_status_truncated has 97639 / 99.2% missing values Missing
  • quoted_status_user_contributors_enabled has 97639 / 99.2% missing values Missing
  • quoted_status_user_created_at has 97639 / 99.2% missing values Missing
  • quoted_status_user_created_at has a high cardinality: 587 distinct values Warning
  • quoted_status_user_default_profile has 97639 / 99.2% missing values Missing
  • quoted_status_user_default_profile_image has 97639 / 99.2% missing values Missing
  • quoted_status_user_description has 97752 / 99.3% missing values Missing
  • quoted_status_user_description has a high cardinality: 496 distinct values Warning
  • quoted_status_user_entities_description_urls has 97654 / 99.2% missing values Missing
  • quoted_status_user_entities_description_urls has a high cardinality: 63 distinct values Warning
  • quoted_status_user_entities_url_urls has 97865 / 99.5% missing values Missing
  • quoted_status_user_entities_url_urls has a high cardinality: 413 distinct values Warning
  • quoted_status_user_favourites_count has 97639 / 99.2% missing values Missing
  • quoted_status_user_followers_count has 97639 / 99.2% missing values Missing
  • quoted_status_user_friends_count has 97639 / 99.2% missing values Missing
  • quoted_status_user_geo_enabled has 97639 / 99.2% missing values Missing
  • quoted_status_user_has_extended_profile has 97639 / 99.2% missing values Missing
  • quoted_status_user_id has 97639 / 99.2% missing values Missing
  • quoted_status_user_id_str is highly correlated with quoted_status_user_id (ρ = 1) Rejected
  • quoted_status_user_is_translation_enabled has 97639 / 99.2% missing values Missing
  • quoted_status_user_is_translator has 97639 / 99.2% missing values Missing
  • quoted_status_user_lang has 97639 / 99.2% missing values Missing
  • quoted_status_user_listed_count is highly correlated with quoted_status_user_followers_count (ρ = 0.91088) Rejected
  • quoted_status_user_location has 97813 / 99.4% missing values Missing
  • quoted_status_user_location has a high cardinality: 343 distinct values Warning
  • quoted_status_user_name has 97668 / 99.3% missing values Missing
  • quoted_status_user_name has a high cardinality: 558 distinct values Warning
  • quoted_status_user_profile_background_color has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_background_color has a high cardinality: 119 distinct values Warning
  • quoted_status_user_profile_background_image_url has 97666 / 99.3% missing values Missing
  • quoted_status_user_profile_background_image_url has a high cardinality: 252 distinct values Warning
  • quoted_status_user_profile_background_image_url_https has 97666 / 99.3% missing values Missing
  • quoted_status_user_profile_background_image_url_https has a high cardinality: 252 distinct values Warning
  • quoted_status_user_profile_background_tile has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_banner_url has 97771 / 99.4% missing values Missing
  • quoted_status_user_profile_banner_url has a high cardinality: 483 distinct values Warning
  • quoted_status_user_profile_image_url has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_image_url has a high cardinality: 587 distinct values Warning
  • quoted_status_user_profile_image_url_https has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_image_url_https has a high cardinality: 587 distinct values Warning
  • quoted_status_user_profile_link_color has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_link_color has a high cardinality: 196 distinct values Warning
  • quoted_status_user_profile_sidebar_border_color has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_sidebar_fill_color has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_sidebar_fill_color has a high cardinality: 85 distinct values Warning
  • quoted_status_user_profile_text_color has 97639 / 99.2% missing values Missing
  • quoted_status_user_profile_text_color has a high cardinality: 52 distinct values Warning
  • quoted_status_user_profile_use_background_image has 97639 / 99.2% missing values Missing
  • quoted_status_user_protected has 97639 / 99.2% missing values Missing
  • quoted_status_user_screen_name has 97639 / 99.2% missing values Missing
  • quoted_status_user_screen_name has a high cardinality: 587 distinct values Warning
  • quoted_status_user_statuses_count has 97639 / 99.2% missing values Missing
  • quoted_status_user_time_zone has 97770 / 99.4% missing values Missing
  • quoted_status_user_time_zone has a high cardinality: 61 distinct values Warning
  • quoted_status_user_url has 97819 / 99.4% missing values Missing
  • quoted_status_user_url has a high cardinality: 433 distinct values Warning
  • quoted_status_user_utc_offset has 97770 / 99.4% missing values Missing
  • quoted_status_user_verified has 97639 / 99.2% missing values Missing
  • retweet_count is highly skewed (γ1 = 101.75)
  • retweet_count has 48609 / 49.4% zeros
  • retweeted has constant value False Rejected
  • retweeted_status_created_at has 63829 / 64.9% missing values Missing
  • retweeted_status_created_at has a high cardinality: 11461 distinct values Warning
  • retweeted_status_entities_hashtags has 63876 / 64.9% missing values Missing
  • retweeted_status_entities_hashtags has a high cardinality: 4833 distinct values Warning
  • retweeted_status_entities_media has 85101 / 86.5% missing values Missing
  • retweeted_status_entities_media has a high cardinality: 3617 distinct values Warning
  • retweeted_status_entities_symbols has 63829 / 64.9% missing values Missing
  • retweeted_status_entities_urls has 63829 / 64.9% missing values Missing
  • retweeted_status_entities_urls has a high cardinality: 7892 distinct values Warning
  • retweeted_status_entities_user_mentions has 64135 / 65.2% missing values Missing
  • retweeted_status_entities_user_mentions has a high cardinality: 2882 distinct values Warning
  • retweeted_status_favorite_count is highly correlated with retweet_count (ρ = 0.95171) Rejected
  • retweeted_status_favorited has 63829 / 64.9% missing values Missing
  • retweeted_status_id has 63829 / 64.9% missing values Missing
  • retweeted_status_id_str is highly correlated with retweeted_status_id (ρ = 1) Rejected
  • retweeted_status_in_reply_to_screen_name has 97000 / 98.6% missing values Missing
  • retweeted_status_in_reply_to_screen_name has a high cardinality: 878 distinct values Warning
  • retweeted_status_in_reply_to_status_id is highly correlated with retweeted_status_id_str (ρ = 0.98947) Rejected
  • retweeted_status_in_reply_to_status_id_str is highly correlated with retweeted_status_in_reply_to_status_id (ρ = 1) Rejected
  • retweeted_status_in_reply_to_user_id has 97000 / 98.6% missing values Missing
  • retweeted_status_in_reply_to_user_id_str is highly correlated with retweeted_status_in_reply_to_user_id (ρ = 1) Rejected
  • retweeted_status_is_quote_status has 63829 / 64.9% missing values Missing
  • retweeted_status_lang has 63829 / 64.9% missing values Missing
  • retweeted_status_metadata_iso_language_code has 63829 / 64.9% missing values Missing
  • retweeted_status_metadata_result_type has 63829 / 64.9% missing values Missing
  • retweeted_status_place_bounding_box_coordinates has 97129 / 98.7% missing values Missing
  • retweeted_status_place_bounding_box_coordinates has a high cardinality: 239 distinct values Warning
  • retweeted_status_place_bounding_box_type has 97129 / 98.7% missing values Missing
  • retweeted_status_place_contained_within has 97129 / 98.7% missing values Missing
  • retweeted_status_place_country has 97223 / 98.8% missing values Missing
  • retweeted_status_place_country_code has 97131 / 98.7% missing values Missing
  • retweeted_status_place_full_name has 97157 / 98.7% missing values Missing
  • retweeted_status_place_full_name has a high cardinality: 230 distinct values Warning
  • retweeted_status_place_id has 97129 / 98.7% missing values Missing
  • retweeted_status_place_id has a high cardinality: 239 distinct values Warning
  • retweeted_status_place_name has 97156 / 98.7% missing values Missing
  • retweeted_status_place_name has a high cardinality: 229 distinct values Warning
  • retweeted_status_place_place_type has 97129 / 98.7% missing values Missing
  • retweeted_status_place_url has 97129 / 98.7% missing values Missing
  • retweeted_status_place_url has a high cardinality: 239 distinct values Warning
  • retweeted_status_possibly_sensitive has 69243 / 70.4% missing values Missing
  • retweeted_status_quoted_status_created_at has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_created_at has a high cardinality: 217 distinct values Warning
  • retweeted_status_quoted_status_entities_hashtags has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_entities_hashtags has a high cardinality: 88 distinct values Warning
  • retweeted_status_quoted_status_entities_media has 97278 / 98.9% missing values Missing
  • retweeted_status_quoted_status_entities_media has a high cardinality: 79 distinct values Warning
  • retweeted_status_quoted_status_entities_symbols has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_entities_urls has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_entities_urls has a high cardinality: 123 distinct values Warning
  • retweeted_status_quoted_status_entities_user_mentions has 96983 / 98.6% missing values Missing
  • retweeted_status_quoted_status_entities_user_mentions has a high cardinality: 73 distinct values Warning
  • retweeted_status_quoted_status_favorite_count is highly skewed (γ1 = 31.483)
  • retweeted_status_quoted_status_favorite_count has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_favorited has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_id has 1110 / 1.1% missing values Missing
  • retweeted_status_quoted_status_id_str is highly correlated with retweeted_status_quoted_status_id (ρ = 1) Rejected
  • retweeted_status_quoted_status_is_quote_status has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_lang has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_metadata_iso_language_code has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_metadata_result_type has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_place_bounding_box_coordinates has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_bounding_box_type has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_contained_within has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_country has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_country_code has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_full_name has 97430 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_id has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_name has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_place_type has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_place_url has 97425 / 99.0% missing values Missing
  • retweeted_status_quoted_status_possibly_sensitive has 97099 / 98.7% missing values Missing
  • retweeted_status_quoted_status_retweet_count is highly correlated with retweeted_status_quoted_status_favorite_count (ρ = 0.99487) Rejected
  • retweeted_status_quoted_status_retweeted has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_source has 96981 / 98.6% missing values Missing
  • retweeted_status_quoted_status_text has 97055 / 98.6% missing values Missing
  • retweeted_status_quoted_status_text has a high cardinality: 185 distinct values Warning
  • retweeted_status_quoted_status_truncated has 96981 / 98.6% missing values Missing
  • retweeted_status_retweet_count is highly correlated with retweeted_status_favorite_count (ρ = 0.95171) Rejected
  • retweeted_status_retweeted has 63829 / 64.9% missing values Missing
  • retweeted_status_source has 64013 / 65.1% missing values Missing
  • retweeted_status_source has a high cardinality: 527 distinct values Warning
  • retweeted_status_text has 67571 / 68.7% missing values Missing
  • retweeted_status_text has a high cardinality: 9940 distinct values Warning
  • retweeted_status_truncated has 63829 / 64.9% missing values Missing
  • retweeted_status_user_contributors_enabled has 63829 / 64.9% missing values Missing
  • retweeted_status_user_created_at has 63829 / 64.9% missing values Missing
  • retweeted_status_user_created_at has a high cardinality: 6486 distinct values Warning
  • retweeted_status_user_default_profile has 63829 / 64.9% missing values Missing
  • retweeted_status_user_default_profile_image has 63829 / 64.9% missing values Missing
  • retweeted_status_user_description has 69449 / 70.6% missing values Missing
  • retweeted_status_user_description has a high cardinality: 5307 distinct values Warning
  • retweeted_status_user_entities_description_urls has 64206 / 65.3% missing values Missing
  • retweeted_status_user_entities_description_urls has a high cardinality: 706 distinct values Warning
  • retweeted_status_user_entities_url_urls has 75893 / 77.1% missing values Missing
  • retweeted_status_user_entities_url_urls has a high cardinality: 4563 distinct values Warning
  • retweeted_status_user_favourites_count has 63829 / 64.9% missing values Missing
  • retweeted_status_user_favourites_count has 3482 / 3.5% zeros
  • retweeted_status_user_followers_count has 63829 / 64.9% missing values Missing
  • retweeted_status_user_friends_count has 63829 / 64.9% missing values Missing
  • retweeted_status_user_friends_count has 1055 / 1.1% zeros
  • retweeted_status_user_geo_enabled has 63829 / 64.9% missing values Missing
  • retweeted_status_user_has_extended_profile has 63829 / 64.9% missing values Missing
  • retweeted_status_user_id has 63829 / 64.9% missing values Missing
  • retweeted_status_user_id_str is highly correlated with retweeted_status_user_id (ρ = 1) Rejected
  • retweeted_status_user_is_translation_enabled has 63829 / 64.9% missing values Missing
  • retweeted_status_user_is_translator has 63829 / 64.9% missing values Missing
  • retweeted_status_user_lang has 63829 / 64.9% missing values Missing
  • retweeted_status_user_listed_count has 63829 / 64.9% missing values Missing
  • retweeted_status_user_location has 72481 / 73.7% missing values Missing
  • retweeted_status_user_location has a high cardinality: 2695 distinct values Warning
  • retweeted_status_user_name has 65260 / 66.3% missing values Missing
  • retweeted_status_user_name has a high cardinality: 6039 distinct values Warning
  • retweeted_status_user_profile_background_color has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_background_color has a high cardinality: 732 distinct values Warning
  • retweeted_status_user_profile_background_image_url has 65443 / 66.5% missing values Missing
  • retweeted_status_user_profile_background_image_url has a high cardinality: 2114 distinct values Warning
  • retweeted_status_user_profile_background_image_url_https has 65443 / 66.5% missing values Missing
  • retweeted_status_user_profile_background_image_url_https has a high cardinality: 2114 distinct values Warning
  • retweeted_status_user_profile_background_tile has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_banner_url has 71385 / 72.6% missing values Missing
  • retweeted_status_user_profile_banner_url has a high cardinality: 4893 distinct values Warning
  • retweeted_status_user_profile_image_url has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_image_url has a high cardinality: 6417 distinct values Warning
  • retweeted_status_user_profile_image_url_https has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_image_url_https has a high cardinality: 6417 distinct values Warning
  • retweeted_status_user_profile_link_color has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_link_color has a high cardinality: 1406 distinct values Warning
  • retweeted_status_user_profile_sidebar_border_color has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_sidebar_border_color has a high cardinality: 261 distinct values Warning
  • retweeted_status_user_profile_sidebar_fill_color has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_sidebar_fill_color has a high cardinality: 509 distinct values Warning
  • retweeted_status_user_profile_text_color has 63841 / 64.9% missing values Missing
  • retweeted_status_user_profile_text_color has a high cardinality: 398 distinct values Warning
  • retweeted_status_user_profile_use_background_image has 63841 / 64.9% missing values Missing
  • retweeted_status_user_protected has 63841 / 64.9% missing values Missing
  • retweeted_status_user_screen_name has 63841 / 64.9% missing values Missing
  • retweeted_status_user_screen_name has a high cardinality: 6485 distinct values Warning
  • retweeted_status_user_statuses_count has 63841 / 64.9% missing values Missing
  • retweeted_status_user_time_zone has 73090 / 74.3% missing values Missing
  • retweeted_status_user_time_zone has a high cardinality: 142 distinct values Warning
  • retweeted_status_user_url has 70757 / 71.9% missing values Missing
  • retweeted_status_user_url has a high cardinality: 4471 distinct values Warning
  • retweeted_status_user_utc_offset has 73090 / 74.3% missing values Missing
  • retweeted_status_user_verified has 63841 / 64.9% missing values Missing
  • source has a high cardinality: 1681 distinct values Warning
  • text has a high cardinality: 71549 distinct values Warning
  • user_created_at has a high cardinality: 37931 distinct values Warning
  • user_description has 22323 / 22.7% missing values Missing
  • user_description has a high cardinality: 27457 distinct values Warning
  • user_entities_description_urls has 1074 / 1.1% missing values Missing
  • user_entities_description_urls has a high cardinality: 2671 distinct values Warning
  • user_entities_url_urls has 46930 / 47.7% missing values Missing
  • user_entities_url_urls has a high cardinality: 19771 distinct values Warning
  • user_favourites_count has 25011 / 25.4% zeros
  • user_followers_count is highly skewed (γ1 = 115.54)
  • user_friends_count is highly skewed (γ1 = 20.519)
  • user_friends_count has 8004 / 8.1% zeros
  • user_id_str is highly correlated with user_id (ρ = 1) Rejected
  • user_lang has a high cardinality: 52 distinct values Warning
  • user_listed_count has 3775 / 3.8% zeros
  • user_location has 29408 / 29.9% missing values Missing
  • user_location has a high cardinality: 11672 distinct values Warning
  • user_name has 5255 / 5.3% missing values Missing
  • user_name has a high cardinality: 34039 distinct values Warning
  • user_profile_background_color has a high cardinality: 2865 distinct values Warning
  • user_profile_background_image_url has 16195 / 16.5% missing values Missing
  • user_profile_background_image_url has a high cardinality: 10149 distinct values Warning
  • user_profile_background_image_url_https has 16195 / 16.5% missing values Missing
  • user_profile_background_image_url_https has a high cardinality: 10149 distinct values Warning
  • user_profile_banner_url has 35040 / 35.6% missing values Missing
  • user_profile_banner_url has a high cardinality: 27131 distinct values Warning
  • user_profile_image_url has a high cardinality: 36954 distinct values Warning
  • user_profile_image_url_https has a high cardinality: 36954 distinct values Warning
  • user_profile_link_color has a high cardinality: 5376 distinct values Warning
  • user_profile_sidebar_border_color has a high cardinality: 1061 distinct values Warning
  • user_profile_sidebar_fill_color has a high cardinality: 1950 distinct values Warning
  • user_profile_text_color has a high cardinality: 1602 distinct values Warning
  • user_screen_name has a high cardinality: 37937 distinct values Warning
  • user_time_zone has 40653 / 41.3% missing values Missing
  • user_time_zone has a high cardinality: 210 distinct values Warning
  • user_url has 38739 / 39.4% missing values Missing
  • user_url has a high cardinality: 19961 distinct values Warning
  • user_utc_offset has 40653 / 41.3% missing values Missing
  • Dataset has 155 duplicate rows Warning

Variables

coordinates_coordinates
Categorical

Distinct count 184
Unique (%) 56.6%
Missing (%) 99.7%
Missing (n) 98068
[-76.4921829, 38.9784453]
 
15
[-71.0588801, 42.3600825]
 
13
[-122.2455364, 37.5364134]
 
9
Other values (180)
 
288
(Missing)
98068
Value Count Frequency (%)  
[-76.4921829, 38.9784453] 15 0.0%
 
[-71.0588801, 42.3600825] 13 0.0%
 
[-122.2455364, 37.5364134] 9 0.0%
 
[-105.0866504, 39.9205411] 6 0.0%
 
[-122.1430195, 37.4418834] 6 0.0%
 
[106.81396893, -6.21167266] 5 0.0%
 
[-97.7525352, 30.401356] 4 0.0%
 
[-71.4128343, 41.8239891] 4 0.0%
 
[-93.4044187, 44.9260794] 4 0.0%
 
[-84.3879824, 33.7489954] 4 0.0%
 
[-118.4717975, 34.02875] 4 0.0%
 
[-122.2363548, 37.4852152] 4 0.0%
 
[123.93939268, 9.61432594] 4 0.0%
 
[-96.994174, 33.046233] 4 0.0%
 
[-0.172366, 51.4916039] 3 0.0%
 
[-74.0064, 40.7142] 3 0.0%
 
[-117.8282121, 33.6588951] 3 0.0%
 
[-87.6297982, 41.8781136] 3 0.0%
 
[-81.6943605, 41.49932] 3 0.0%
 
[-78.898619, 35.9940329] 3 0.0%
 
Other values (163) 221 0.2%
 
(Missing) 98068 99.7%
 

coordinates_type
Categorical

Distinct count 2
Unique (%) 0.6%
Missing (%) 99.7%
Missing (n) 98068
Point
 
325
(Missing)
98068
Value Count Frequency (%)  
Point 325 0.3%
 
(Missing) 98068 99.7%
 

created_at
Categorical

Distinct count 89544
Unique (%) 91.0%
Missing (%) 0.0%
Missing (n) 0
Sat Apr 23 20:34:12 +0000 2016
 
25
Sat Apr 23 20:34:16 +0000 2016
 
23
Sat Apr 23 20:34:29 +0000 2016
 
20
Other values (89541)
98325
Value Count Frequency (%)  
Sat Apr 23 20:34:12 +0000 2016 25 0.0%
 
Sat Apr 23 20:34:16 +0000 2016 23 0.0%
 
Sat Apr 23 20:34:29 +0000 2016 20 0.0%
 
Mon Apr 25 21:27:55 +0000 2016 16 0.0%
 
Sat Apr 23 21:06:01 +0000 2016 16 0.0%
 
Mon Apr 25 10:18:44 +0000 2016 15 0.0%
 
Sat Apr 23 21:03:50 +0000 2016 12 0.0%
 
Sat Apr 23 21:03:51 +0000 2016 12 0.0%
 
Tue Apr 19 14:00:28 +0000 2016 11 0.0%
 
Mon Apr 25 21:27:54 +0000 2016 11 0.0%
 
Mon May 02 16:38:22 +0000 2016 9 0.0%
 
Sat Apr 23 16:01:24 +0000 2016 8 0.0%
 
Tue Apr 19 11:45:50 +0000 2016 8 0.0%
 
Sat Apr 23 16:01:25 +0000 2016 7 0.0%
 
Sun Apr 24 15:59:28 +0000 2016 7 0.0%
 
Sat Apr 23 21:06:00 +0000 2016 7 0.0%
 
Mon Apr 25 10:18:42 +0000 2016 7 0.0%
 
Thu Apr 21 11:48:07 +0000 2016 7 0.0%
 
Sun May 01 20:56:40 +0000 2016 7 0.0%
 
Sat Apr 23 07:42:36 +0000 2016 7 0.0%
 
Other values (89524) 98158 99.8%
 

entities_hashtags
Categorical

Distinct count 20741
Unique (%) 21.1%
Missing (%) 0.1%
Missing (n) 111
[]
46340
[{u'indices': [0, 7], u'text': u'python'}]
 
3121
[{u'indices': [0, 10], u'text': u'raspberry'}, {u'indices': [11, 16], u'text': u'tech'}, {u'indices': [17, 20], u'text': u'pi'}]
 
483
Other values (20737)
48338
Value Count Frequency (%)  
[] 46340 47.1%
 
[{u'indices': [0, 7], u'text': u'python'}] 3121 3.2%
 
[{u'indices': [0, 10], u'text': u'raspberry'}, {u'indices': [11, 16], u'text': u'tech'}, {u'indices': [17, 20], u'text': u'pi'}] 483 0.5%
 
[{u'indices': [110, 124], u'text': u'CallOfTheWild'}, {u'indices': [125, 137], u'text': u'SaveTheWild'}] 308 0.3%
 
[{u'indices': [18, 25], u'text': u'Google'}, {u'indices': [44, 51], u'text': u'Python'}, {u'indices': [52, 68], u'text': u'MachineLearning'}, {u'indices': [88, 96], u'text': u'sklearn'}] 290 0.3%
 
[{u'indices': [19, 23], u'text': u'TWD'}, {u'indices': [113, 128], u'text': u'TheWalkingDead'}] 263 0.3%
 
[{u'indices': [18, 24], u'text': u'ITJob'}, {u'indices': [25, 29], u'text': u'Job'}, {u'indices': [30, 34], u'text': u'San'}] 219 0.2%
 
[{u'indices': [49, 56], u'text': u'Python'}] 187 0.2%
 
[{u'indices': [18, 24], u'text': u'ITJob'}, {u'indices': [25, 29], u'text': u'Job'}, {u'indices': [30, 34], u'text': u'New'}] 174 0.2%
 
[{u'indices': [32, 37], u'text': u'Java'}, {u'indices': [38, 45], u'text': u'csharp'}, {u'indices': [46, 53], u'text': u'python'}] 171 0.2%
 
[{u'indices': [0, 7], u'text': u'Python'}] 165 0.2%
 
[{u'indices': [19, 26], u'text': u'python'}] 151 0.2%
 
[{u'indices': [54, 61], u'text': u'DevOps'}, {u'indices': [62, 66], u'text': u'IoT'}, {u'indices': [67, 81], u'text': u'Microservices'}, {u'indices': [106, 112], u'text': u'Cloud'}] 145 0.1%
 
[{u'indices': [18, 24], u'text': u'ITJob'}, {u'indices': [25, 29], u'text': u'Job'}, {u'indices': [30, 37], u'text': u'Boston'}] 141 0.1%
 
[{u'indices': [0, 4], u'text': u'Job'}, {u'indices': [5, 17], u'text': u'Opportunity'}] 136 0.1%
 
[{u'indices': [20, 36], u'text': u'MachineLearning'}, {u'indices': [42, 49], u'text': u'Python'}, {u'indices': [99, 105], u'text': u'abdsc'}, {u'indices': [106, 114], u'text': u'BigData'}, {u'indices': [115, 127], u'text': u'DataScience'}] 126 0.1%
 
[{u'indices': [16, 23], u'text': u'python'}] 107 0.1%
 
[{u'indices': [96, 102], u'text': u'Opera'}, {u'indices': [103, 107], u'text': u'VPN'}] 97 0.1%
 
[{u'indices': [19, 33], u'text': u'coloroftheday'}, {u'indices': [52, 66], u'text': u'TravelTuesday'}] 96 0.1%
 
[{u'indices': [55, 71], u'text': u'Electricity4All'}] 95 0.1%
 
Other values (20720) 45467 46.2%
 
(Missing) 111 0.1%
 

entities_media
Categorical

Distinct count 13684
Unique (%) 58.5%
Missing (%) 76.2%
Missing (n) 75011
[{u'source_user_id': 4804550526, u'source_status_id_str': u'723543199315300352', u'expanded_url': u'http://twitter.com/Delilah_Alvares/status/723543199315300352/photo/1', u'display_url': u'pic.twitter.com/uMhFFIHrbo', u'url': u'https://t.co/uMhFFIHrbo', u'media_url_https': u'https://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg', u'source_user_id_str': u'4804550526', u'source_status_id': 723543199315300352, u'id_str': u'723543173012852738', u'sizes': {u'small': {u'h': 512, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 960, u'w': 638, u'resize': u'fit'}, u'medium': {u'h': 903, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [139, 140], u'type': u'photo', u'id': 723543173012852738, u'media_url': u'http://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg'}]
 
308
[{u'source_user_id': 3331829713, u'source_status_id_str': u'726544327824957440', u'expanded_url': u'http://twitter.com/FTWDFans/status/726544327824957440/photo/1', u'sizes': {u'small': {u'h': 434, u'resize': u'fit', u'w': 340}, u'large': {u'h': 1307, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 766, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/RyxstTwr5I', u'media_url_https': u'https://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg', u'source_user_id_str': u'3331829713', u'source_status_id': 726544327824957440, u'id_str': u'726544294333411328', u'indices': [139, 140], u'media_url': u'http://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg', u'type': u'photo', u'id': 726544294333411328, u'display_url': u'pic.twitter.com/RyxstTwr5I'}]
 
263
[{u'source_user_id': 49413866, u'source_status_id_str': u'721324803207131136', u'expanded_url': u'http://twitter.com/randal_olson/status/721324803207131136/photo/1', u'display_url': u'pic.twitter.com/aoMntyJudr', u'url': u'https://t.co/aoMntyJudr', u'media_url_https': u'https://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg', u'source_user_id_str': u'49413866', u'source_status_id': 721324803207131136, u'id_str': u'721324799939579905', u'sizes': {u'large': {u'h': 515, u'w': 1024, u'resize': u'fit'}, u'small': {u'h': 171, u'w': 340, u'resize': u'fit'}, u'medium': {u'h': 302, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [122, 140], u'type': u'photo', u'id': 721324799939579905, u'media_url': u'http://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg'}]
 
239
Other values (13680)
22572
(Missing)
75011
Value Count Frequency (%)  
[{u'source_user_id': 4804550526, u'source_status_id_str': u'723543199315300352', u'expanded_url': u'http://twitter.com/Delilah_Alvares/status/723543199315300352/photo/1', u'display_url': u'pic.twitter.com/uMhFFIHrbo', u'url': u'https://t.co/uMhFFIHrbo', u'media_url_https': u'https://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg', u'source_user_id_str': u'4804550526', u'source_status_id': 723543199315300352, u'id_str': u'723543173012852738', u'sizes': {u'small': {u'h': 512, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 960, u'w': 638, u'resize': u'fit'}, u'medium': {u'h': 903, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [139, 140], u'type': u'photo', u'id': 723543173012852738, u'media_url': u'http://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg'}] 308 0.3%
 
[{u'source_user_id': 3331829713, u'source_status_id_str': u'726544327824957440', u'expanded_url': u'http://twitter.com/FTWDFans/status/726544327824957440/photo/1', u'sizes': {u'small': {u'h': 434, u'resize': u'fit', u'w': 340}, u'large': {u'h': 1307, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 766, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/RyxstTwr5I', u'media_url_https': u'https://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg', u'source_user_id_str': u'3331829713', u'source_status_id': 726544327824957440, u'id_str': u'726544294333411328', u'indices': [139, 140], u'media_url': u'http://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg', u'type': u'photo', u'id': 726544294333411328, u'display_url': u'pic.twitter.com/RyxstTwr5I'}] 263 0.3%
 
[{u'source_user_id': 49413866, u'source_status_id_str': u'721324803207131136', u'expanded_url': u'http://twitter.com/randal_olson/status/721324803207131136/photo/1', u'display_url': u'pic.twitter.com/aoMntyJudr', u'url': u'https://t.co/aoMntyJudr', u'media_url_https': u'https://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg', u'source_user_id_str': u'49413866', u'source_status_id': 721324803207131136, u'id_str': u'721324799939579905', u'sizes': {u'large': {u'h': 515, u'w': 1024, u'resize': u'fit'}, u'small': {u'h': 171, u'w': 340, u'resize': u'fit'}, u'medium': {u'h': 302, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [122, 140], u'type': u'photo', u'id': 721324799939579905, u'media_url': u'http://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg'}] 239 0.2%
 
[{u'source_user_id': 1637123371, u'source_status_id_str': u'724302929285505026', u'expanded_url': u'http://twitter.com/SneakerPics23/status/724302929285505026/photo/1', u'sizes': {u'small': {u'h': 323, u'resize': u'fit', u'w': 340}, u'large': {u'h': 713, u'resize': u'fit', u'w': 750}, u'medium': {u'h': 570, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/qpdP0DUKAu', u'media_url_https': u'https://pbs.twimg.com/media/Cg09p_JUUAEu3vh.jpg', u'source_user_id_str': u'1637123371', u'source_status_id': 724302929285505026, u'id_str': u'724302906610962433', u'indices': [50, 73], u'media_url': u'http://pbs.twimg.com/media/Cg09p_JUUAEu3vh.jpg', u'type': u'photo', u'id': 724302906610962433, u'display_url': u'pic.twitter.com/qpdP0DUKAu'}] 150 0.2%
 
[{u'source_user_id': 49413866, u'source_status_id_str': u'723584753597878272', u'expanded_url': u'http://twitter.com/randal_olson/status/723584753597878272/photo/1', u'display_url': u'pic.twitter.com/sYkjvn7hzu', u'url': u'https://t.co/sYkjvn7hzu', u'media_url_https': u'https://pbs.twimg.com/media/Cgqwf7uW0AIvENf.jpg', u'source_user_id_str': u'49413866', u'source_status_id': 723584753597878272, u'id_str': u'723584752800944130', u'sizes': {u'small': {u'h': 113, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 340, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 199, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [139, 140], u'type': u'photo', u'id': 723584752800944130, u'media_url': u'http://pbs.twimg.com/media/Cgqwf7uW0AIvENf.jpg'}] 143 0.1%
 
[{u'source_user_id': 3407121572, u'source_status_id_str': u'724987767000801280', u'expanded_url': u'http://twitter.com/fashionkiIIas/status/724987767000801280/photo/1', u'sizes': {u'small': {u'h': 254, u'resize': u'fit', u'w': 340}, u'large': {u'h': 560, u'resize': u'fit', u'w': 750}, u'medium': {u'h': 448, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/bmzH4MVi94', u'media_url_https': u'https://pbs.twimg.com/media/Cg-sh87WgAEPoHS.jpg', u'source_user_id_str': u'3407121572', u'source_status_id': 724987767000801280, u'id_str': u'724987764320665601', u'indices': [69, 92], u'media_url': u'http://pbs.twimg.com/media/Cg-sh87WgAEPoHS.jpg', u'type': u'photo', u'id': 724987764320665601, u'display_url': u'pic.twitter.com/bmzH4MVi94'}] 139 0.1%
 
[{u'source_user_id': 2892560250, u'source_status_id_str': u'653947766473949184', u'expanded_url': u'http://twitter.com/BigAssAddicted/status/653947766473949184/video/1', u'sizes': {u'small': {u'h': 187, u'resize': u'fit', u'w': 340}, u'large': {u'h': 396, u'resize': u'fit', u'w': 720}, u'medium': {u'h': 330, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/jbLCwPRmqI', u'media_url_https': u'https://pbs.twimg.com/ext_tw_video_thumb/653947265200033792/pu/img/WZ19nUbaGWtnsW93.jpg', u'source_user_id_str': u'2892560250', u'source_status_id': 653947766473949184, u'id_str': u'653947265200033792', u'indices': [47, 70], u'media_url': u'http://pbs.twimg.com/ext_tw_video_thumb/653947265200033792/pu/img/WZ19nUbaGWtnsW93.jpg', u'type': u'photo', u'id': 653947265200033792, u'display_url': u'pic.twitter.com/jbLCwPRmqI'}] 116 0.1%
 
[{u'source_user_id': 15823805, u'source_status_id_str': u'724605272560377856', u'expanded_url': u'http://twitter.com/spazef0rze/status/724605272560377856/photo/1', u'sizes': {u'small': {u'h': 255, u'resize': u'fit', u'w': 340}, u'large': {u'h': 375, u'resize': u'fit', u'w': 500}, u'medium': {u'h': 375, u'resize': u'fit', u'w': 500}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/y8YXIvM57S', u'media_url_https': u'https://pbs.twimg.com/media/Cg5QbymU0AEv7V0.jpg', u'source_user_id_str': u'15823805', u'source_status_id': 724605272560377856, u'id_str': u'724605028422438913', u'indices': [139, 140], u'media_url': u'http://pbs.twimg.com/media/Cg5QbymU0AEv7V0.jpg', u'type': u'photo', u'id': 724605028422438913, u'display_url': u'pic.twitter.com/y8YXIvM57S'}] 97 0.1%
 
[{u'source_user_id': 14159148, u'source_status_id_str': u'726644827769593858', u'expanded_url': u'http://twitter.com/UN/status/726644827769593858/photo/1', u'sizes': {u'small': {u'h': 170, u'resize': u'fit', u'w': 340}, u'large': {u'h': 220, u'resize': u'fit', u'w': 440}, u'medium': {u'h': 220, u'resize': u'fit', u'w': 440}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/Tn9trH2Nih', u'media_url_https': u'https://pbs.twimg.com/media/Cg0B8UwUYAE5Cw4.jpg', u'source_user_id_str': u'14159148', u'source_status_id': 726644827769593858, u'id_str': u'724237250951667713', u'indices': [125, 140], u'media_url': u'http://pbs.twimg.com/media/Cg0B8UwUYAE5Cw4.jpg', u'type': u'photo', u'id': 724237250951667713, u'display_url': u'pic.twitter.com/Tn9trH2Nih'}] 95 0.1%
 
[{u'source_user_id': 20431922, u'source_status_id_str': u'722434350298591232', u'expanded_url': u'http://twitter.com/500px/status/722434350298591232/photo/1', u'display_url': u'pic.twitter.com/BjAO7UXyj2', u'url': u'https://t.co/BjAO7UXyj2', u'media_url_https': u'https://pbs.twimg.com/media/CgaaNm6UMAEYpkq.jpg', u'source_user_id_str': u'20431922', u'source_status_id': 722434350298591232, u'id_str': u'722434348813660161', u'sizes': {u'large': {u'h': 628, u'w': 900, u'resize': u'fit'}, u'small': {u'h': 237, u'w': 340, u'resize': u'fit'}, u'medium': {u'h': 419, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [123, 140], u'type': u'photo', u'id': 722434348813660161, u'media_url': u'http://pbs.twimg.com/media/CgaaNm6UMAEYpkq.jpg'}] 94 0.1%
 
[{u'source_user_id': 534563976, u'source_status_id_str': u'725455009626886144', u'expanded_url': u'http://twitter.com/KirkDBorne/status/725455009626886144/photo/1', u'sizes': {u'small': {u'h': 189, u'resize': u'fit', u'w': 340}, u'large': {u'h': 568, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 333, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/TK8DqOw04E', u'media_url_https': u'https://pbs.twimg.com/media/ChFVfIqU0AEsnTl.png', u'source_user_id_str': u'534563976', u'source_status_id': 725455009626886144, u'id_str': u'725455008372674561', u'indices': [139, 140], u'media_url': u'http://pbs.twimg.com/media/ChFVfIqU0AEsnTl.png', u'type': u'photo', u'id': 725455008372674561, u'display_url': u'pic.twitter.com/TK8DqOw04E'}] 89 0.1%
 
[{u'source_user_id': 49413866, u'source_status_id_str': u'726798373639077888', u'expanded_url': u'http://twitter.com/randal_olson/status/726798373639077888/photo/1', u'sizes': {u'small': {u'h': 469, u'resize': u'fit', u'w': 340}, u'large': {u'h': 577, u'resize': u'fit', u'w': 418}, u'medium': {u'h': 577, u'resize': u'fit', u'w': 418}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/IO7RTTiqWB', u'media_url_https': u'https://pbs.twimg.com/media/ChYbRQ0WUAA5E0U.png', u'source_user_id_str': u'49413866', u'source_status_id': 726798373639077888, u'id_str': u'726798373253173248', u'indices': [108, 131], u'media_url': u'http://pbs.twimg.com/media/ChYbRQ0WUAA5E0U.png', u'type': u'photo', u'id': 726798373253173248, u'display_url': u'pic.twitter.com/IO7RTTiqWB'}] 84 0.1%
 
[{u'source_user_id': 3093129209, u'source_status_id_str': u'726953811953094656', u'expanded_url': u'http://twitter.com/preregrintook/status/726953811953094656/photo/1', u'sizes': {u'small': {u'h': 414, u'resize': u'fit', u'w': 340}, u'large': {u'h': 1248, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 731, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/7q8Brq9igj', u'media_url_https': u'https://pbs.twimg.com/media/ChaooqTVEAABD8N.jpg', u'source_user_id_str': u'3093129209', u'source_status_id': 726953811953094656, u'id_str': u'726953806370508800', u'indices': [139, 140], u'media_url': u'http://pbs.twimg.com/media/ChaooqTVEAABD8N.jpg', u'type': u'photo', u'id': 726953806370508800, u'display_url': u'pic.twitter.com/7q8Brq9igj'}] 78 0.1%
 
[{u'source_user_id': 103865213, u'source_status_id_str': u'722397141499539456', u'expanded_url': u'http://twitter.com/mwrlabs/status/722397141499539456/photo/1', u'display_url': u'pic.twitter.com/8pcxzepzJX', u'url': u'https://t.co/8pcxzepzJX', u'media_url_https': u'https://pbs.twimg.com/media/CgZ4XzlWsAA_jBi.jpg', u'source_user_id_str': u'103865213', u'source_status_id': 722397141499539456, u'id_str': u'722397140618752000', u'sizes': {u'small': {u'h': 57, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 101, u'w': 600, u'resize': u'fit'}, u'medium': {u'h': 101, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 101, u'w': 101, u'resize': u'crop'}}, u'indices': [117, 140], u'type': u'photo', u'id': 722397140618752000, u'media_url': u'http://pbs.twimg.com/media/CgZ4XzlWsAA_jBi.jpg'}] 74 0.1%
 
[{u'source_user_id': 555031989, u'source_status_id_str': u'724481351701921792', u'expanded_url': u'http://twitter.com/Ronald_vanLoon/status/724481351701921792/photo/1', u'sizes': {u'small': {u'h': 276, u'resize': u'fit', u'w': 340}, u'large': {u'h': 831, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 487, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/ZQ0lvCJvlZ', u'media_url_https': u'https://pbs.twimg.com/media/Cg3f8ynWkAAuQ_m.jpg', u'source_user_id_str': u'555031989', u'source_status_id': 724481351701921792, u'id_str': u'724481350548492288', u'indices': [139, 140], u'media_url': u'http://pbs.twimg.com/media/Cg3f8ynWkAAuQ_m.jpg', u'type': u'photo', u'id': 724481350548492288, u'display_url': u'pic.twitter.com/ZQ0lvCJvlZ'}] 70 0.1%
 
[{u'source_user_id': 14159148, u'source_status_id_str': u'724675621318578177', u'expanded_url': u'http://twitter.com/UN/status/724675621318578177/photo/1', u'sizes': {u'small': {u'h': 170, u'resize': u'fit', u'w': 340}, u'large': {u'h': 220, u'resize': u'fit', u'w': 440}, u'medium': {u'h': 220, u'resize': u'fit', u'w': 440}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/ARQDomg4GO', u'media_url_https': u'https://pbs.twimg.com/media/Cg0BjMLU4AUZT3_.jpg', u'source_user_id_str': u'14159148', u'source_status_id': 724675621318578177, u'id_str': u'724236819152297989', u'indices': [125, 140], u'media_url': u'http://pbs.twimg.com/media/Cg0BjMLU4AUZT3_.jpg', u'type': u'photo', u'id': 724236819152297989, u'display_url': u'pic.twitter.com/ARQDomg4GO'}] 69 0.1%
 
[{u'source_user_id': 41154258, u'source_status_id_str': u'726407560874582018', u'expanded_url': u'http://twitter.com/KyleHanslovan/status/726407560874582018/photo/1', u'sizes': {u'small': {u'h': 142, u'resize': u'fit', u'w': 340}, u'large': {u'h': 246, u'resize': u'fit', u'w': 591}, u'medium': {u'h': 246, u'resize': u'fit', u'w': 591}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/u1mj8MwTR8', u'media_url_https': u'https://pbs.twimg.com/media/ChS3ymUWUAAmdt2.jpg', u'source_user_id_str': u'41154258', u'source_status_id': 726407560874582018, u'id_str': u'726407519820730368', u'indices': [122, 140], u'media_url': u'http://pbs.twimg.com/media/ChS3ymUWUAAmdt2.jpg', u'type': u'photo', u'id': 726407519820730368, u'display_url': u'pic.twitter.com/u1mj8MwTR8'}] 67 0.1%
 
[{u'source_user_id': 757365218, u'source_status_id_str': u'724118258232754176', u'expanded_url': u'http://twitter.com/RickKing16/status/724118258232754176/photo/1', u'display_url': u'pic.twitter.com/hYIdiAMTrD', u'source_status_id': 724118258232754176, u'media_url_https': u'https://pbs.twimg.com/media/CgyVuBUWsAAErbP.jpg', u'source_user_id_str': u'757365218', u'url': u'https://t.co/hYIdiAMTrD', u'id_str': u'724118257960136704', u'sizes': {u'small': {u'h': 190, u'resize': u'fit', u'w': 340}, u'large': {u'h': 280, u'resize': u'fit', u'w': 500}, u'medium': {u'h': 280, u'resize': u'fit', u'w': 500}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [117, 140], u'type': u'photo', u'id': 724118257960136704, u'media_url': u'http://pbs.twimg.com/media/CgyVuBUWsAAErbP.jpg'}] 66 0.1%
 
[{u'source_user_id': 14174897, u'source_status_id_str': u'723208994769096706', u'expanded_url': u'http://twitter.com/analyticbridge/status/723208994769096706/photo/1', u'display_url': u'pic.twitter.com/wbI1IzvEdZ', u'url': u'https://t.co/wbI1IzvEdZ', u'media_url_https': u'https://pbs.twimg.com/media/Cglav58U4AAz10D.jpg', u'source_user_id_str': u'14174897', u'source_status_id': 723208994769096706, u'id_str': u'723208994223874048', u'sizes': {u'small': {u'h': 176, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 254, u'w': 490, u'resize': u'fit'}, u'medium': {u'h': 254, u'w': 490, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [90, 113], u'type': u'photo', u'id': 723208994223874048, u'media_url': u'http://pbs.twimg.com/media/Cglav58U4AAz10D.jpg'}] 63 0.1%
 
[{u'source_user_id': 20167623, u'source_status_id_str': u'726051946973507584', u'expanded_url': u'http://twitter.com/kdnuggets/status/726051946973507584/photo/1', u'sizes': {u'small': {u'h': 343, u'resize': u'fit', u'w': 340}, u'large': {u'h': 408, u'resize': u'fit', u'w': 404}, u'medium': {u'h': 408, u'resize': u'fit', u'w': 404}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/JUe30cDjoI', u'media_url_https': u'https://pbs.twimg.com/media/ChN0ZhJW0AA1qc_.jpg', u'source_user_id_str': u'20167623', u'source_status_id': 726051946973507584, u'id_str': u'726051946679947264', u'indices': [109, 132], u'media_url': u'http://pbs.twimg.com/media/ChN0ZhJW0AA1qc_.jpg', u'type': u'photo', u'id': 726051946679947264, u'display_url': u'pic.twitter.com/JUe30cDjoI'}] 61 0.1%
 
Other values (13663) 21017 21.4%
 
(Missing) 75011 76.2%
 

entities_symbols
Categorical

Distinct count 13
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 0
[]
98381
[{u'indices': [88, 92], u'text': u'SPY'}]
 
1
[{u'indices': [0, 4], u'text': u'BTC'}]
 
1
Other values (10)
 
10
Value Count Frequency (%)  
[] 98381 100.0%
 
[{u'indices': [88, 92], u'text': u'SPY'}] 1 0.0%
 
[{u'indices': [0, 4], u'text': u'BTC'}] 1 0.0%
 
[{u'indices': [105, 110], u'text': u'PANW'}] 1 0.0%
 
[{u'indices': [108, 112], u'text': u'SPY'}] 1 0.0%
 
[{u'indices': [116, 121], u'text': u'PANW'}] 1 0.0%
 
[{u'indices': [131, 133], u'text': u's'}] 1 0.0%
 
[{u'indices': [13, 17], u'text': u'USD'}] 1 0.0%
 
[{u'indices': [0, 4], u'text': u'USD'}] 1 0.0%
 
[{u'indices': [118, 120], u'text': u's'}] 1 0.0%
 
[{u'indices': [98, 100], u'text': u'v'}] 1 0.0%
 
[{u'indices': [45, 49], u'text': u'PHP'}, {u'indices': [52, 57], u'text': u'Java'}, {u'indices': [60, 67], u'text': u'Python'}, {u'indices': [70, 75], u'text': u'HTML'}, {u'indices': [78, 80], u'text': u'C'}, {u'indices': [87, 89], u'text': u'C'}] 1 0.0%
 
[{u'indices': [51, 56], u'text': u'NFLX'}] 1 0.0%
 

entities_urls
Categorical

Distinct count 29672
Unique (%) 46.0%
Missing (%) 34.4%
Missing (n) 33879
[]
22872
[{u'url': u'https://t.co/99ttVa37RC', u'indices': [82, 105], u'expanded_url': u'http://bit.ly/1rrY3i3', u'display_url': u'bit.ly/1rrY3i3'}]
 
145
[{u'url': u'https://t.co/m4576sRH5a', u'indices': [88, 111], u'expanded_url': u'http://youtu.be/ys8fyr_hxws?a', u'display_url': u'youtu.be/ys8fyr_hxws?a'}]
 
129
Other values (29668)
41368
(Missing)
33879
Value Count Frequency (%)  
[] 22872 23.2%
 
[{u'url': u'https://t.co/99ttVa37RC', u'indices': [82, 105], u'expanded_url': u'http://bit.ly/1rrY3i3', u'display_url': u'bit.ly/1rrY3i3'}] 145 0.1%
 
[{u'url': u'https://t.co/m4576sRH5a', u'indices': [88, 111], u'expanded_url': u'http://youtu.be/ys8fyr_hxws?a', u'display_url': u'youtu.be/ys8fyr_hxws?a'}] 129 0.1%
 
[{u'url': u'https://t.co/hOdcRLTG0k', u'indices': [75, 98], u'expanded_url': u'http://bit.ly/1NUIT9t', u'display_url': u'bit.ly/1NUIT9t'}] 126 0.1%
 
[{u'url': u'https://t.co/qhwzvuhl1t', u'indices': [114, 137], u'expanded_url': u'http://tinyurl.com/gr89wcl', u'display_url': u'tinyurl.com/gr89wcl'}] 107 0.1%
 
[{u'url': u'https://t.co/Xe205pWGuq', u'indices': [40, 63], u'expanded_url': u'http://bit.ly/20gNQir', u'display_url': u'bit.ly/20gNQir'}] 97 0.1%
 
[{u'url': u'https://t.co/TLsTPzBGel', u'indices': [82, 105], u'expanded_url': u'http://bit.ly/electricity4all', u'display_url': u'bit.ly/electricity4all'}] 95 0.1%
 
[{u'url': u'https://t.co/i019MUteJw', u'indices': [113, 136], u'expanded_url': u'http://bit.ly/1U9mRni', u'display_url': u'bit.ly/1U9mRni'}] 93 0.1%
 
[{u'url': u'https://t.co/lVK5ggmUG4', u'indices': [53, 76], u'expanded_url': u'http://bit.ly/1UUgu9Q', u'display_url': u'bit.ly/1UUgu9Q'}] 92 0.1%
 
[{u'indices': [88, 111], u'url': u'https://t.co/m4576sRH5a', u'expanded_url': u'http://youtu.be/ys8fyr_hxws?a', u'display_url': u'youtu.be/ys8fyr_hxws?a'}] 91 0.1%
 
[{u'url': u'https://t.co/mO4MqPAzTX', u'indices': [99, 122], u'expanded_url': u'https://goo.gl/mbRBdI', u'display_url': u'goo.gl/mbRBdI'}] 90 0.1%
 
[{u'url': u'https://t.co/rXlDQJBdmz', u'indices': [76, 99], u'expanded_url': u'http://bit.ly/22h94TK', u'display_url': u'bit.ly/22h94TK'}] 88 0.1%
 
[{u'url': u'https://t.co/F9WgHsGkgm', u'indices': [115, 138], u'expanded_url': u'http://bit.ly/HBHacking', u'display_url': u'bit.ly/HBHacking'}] 84 0.1%
 
[{u'indices': [115, 138], u'url': u'https://t.co/IW0kXRWfom', u'expanded_url': u'https://python.libhunt.com/', u'display_url': u'python.libhunt.com'}] 80 0.1%
 
[{u'url': u'https://t.co/vlmg0ClnKw', u'indices': [43, 66], u'expanded_url': u'http://bit.ly/20gNQir', u'display_url': u'bit.ly/20gNQir'}] 80 0.1%
 
[{u'url': u'https://t.co/VIsSSyzahj', u'indices': [63, 86], u'expanded_url': u'http://buff.ly/1pEH7E9', u'display_url': u'buff.ly/1pEH7E9'}] 78 0.1%
 
[{u'url': u'https://t.co/TLsTPzBGel', u'indices': [101, 124], u'expanded_url': u'http://bit.ly/electricity4all', u'display_url': u'bit.ly/electricity4all'}] 69 0.1%
 
[{u'url': u'https://t.co/YhuSawVd5q', u'indices': [82, 105], u'expanded_url': u'http://ti.me/22AtSAl', u'display_url': u'ti.me/22AtSAl'}] 67 0.1%
 
[{u'indices': [89, 112], u'url': u'https://t.co/hapACvDtXW', u'expanded_url': u'http://buff.ly/1r5t0bt', u'display_url': u'buff.ly/1r5t0bt'}] 66 0.1%
 
[{u'url': u'https://t.co/GNn3o2sZoz', u'indices': [85, 108], u'expanded_url': u'http://buff.ly/1NXQEvo', u'display_url': u'buff.ly/1NXQEvo'}] 61 0.1%
 
Other values (29651) 39904 40.6%
 
(Missing) 33879 34.4%
 

entities_user_mentions
Categorical

Distinct count 16712
Unique (%) 17.4%
Missing (%) 2.4%
Missing (n) 2379
[]
52071
[{u'indices': [3, 12], u'id_str': u'30417501', u'screen_name': u'msisodia', u'name': u'Manish Sisodia', u'id': 30417501}]
 
1809
[{u'indices': [3, 14], u'id_str': u'534563976', u'screen_name': u'KirkDBorne', u'name': u'Kirk Borne', u'id': 534563976}]
 
380
Other values (16708)
41754
(Missing)
 
2379
Value Count Frequency (%)  
[] 52071 52.9%
 
[{u'indices': [3, 12], u'id_str': u'30417501', u'screen_name': u'msisodia', u'name': u'Manish Sisodia', u'id': 30417501}] 1809 1.8%
 
[{u'indices': [3, 14], u'id_str': u'534563976', u'screen_name': u'KirkDBorne', u'name': u'Kirk Borne', u'id': 534563976}] 380 0.4%
 
[{u'indices': [3, 16], u'id_str': u'49413866', u'screen_name': u'randal_olson', u'name': u'Randy Olson', u'id': 49413866}] 326 0.3%
 
[{u'indices': [3, 16], u'id': 49413866, u'id_str': u'49413866', u'name': u'Randy Olson', u'screen_name': u'randal_olson'}] 324 0.3%
 
[{u'indices': [3, 19], u'screen_name': u'Delilah_Alvares', u'id': 4804550526, u'name': u'Delilah Alvares', u'id_str': u'4804550526'}] 308 0.3%
 
[{u'indices': [3, 12], u'id_str': u'3331829713', u'screen_name': u'FTWDFans', u'name': u'#TWD Fan Page', u'id': 3331829713}] 263 0.3%
 
[{u'indices': [3, 18], u'id_str': u'14174897', u'screen_name': u'analyticbridge', u'name': u'Big Data Science', u'id': 14174897}] 251 0.3%
 
[{u'indices': [3, 16], u'screen_name': u'randal_olson', u'id': 49413866, u'name': u'Randy Olson', u'id_str': u'49413866'}] 220 0.2%
 
[{u'indices': [3, 18], u'id': 14174897, u'id_str': u'14174897', u'name': u'Big Data Science', u'screen_name': u'analyticbridge'}] 207 0.2%
 
[{u'indices': [3, 14], u'id': 534563976, u'id_str': u'534563976', u'name': u'Kirk Borne', u'screen_name': u'KirkDBorne'}] 175 0.2%
 
[{u'indices': [3, 16], u'id_str': u'373620985', u'screen_name': u'PythonWeekly', u'name': u'Python Weekly', u'id': 373620985}] 170 0.2%
 
[{u'indices': [3, 18], u'screen_name': u'analyticbridge', u'id': 14174897, u'name': u'Big Data Science', u'id_str': u'14174897'}] 166 0.2%
 
[{u'indices': [3, 18], u'id_str': u'2445802928', u'screen_name': u'pythontrending', u'name': u'Python Trending', u'id': 2445802928}] 151 0.2%
 
[{u'indices': [3, 17], u'id_str': u'1637123371', u'screen_name': u'SneakerPics23', u'name': u'Sneaker Pics', u'id': 1637123371}] 150 0.2%
 
[{u'indices': [3, 12], u'id_str': u'14585767', u'screen_name': u'kubernan', u'name': u'Laurent MILTGEN', u'id': 14585767}] 145 0.1%
 
[{u'indices': [3, 17], u'id_str': u'3407121572', u'screen_name': u'fashionkiIIas', u'name': u'Fashionable KiIIas', u'id': 3407121572}] 139 0.1%
 
[{u'indices': [3, 18], u'id_str': u'555031989', u'screen_name': u'Ronald_vanLoon', u'name': u'Ronald van Loon', u'id': 555031989}] 137 0.1%
 
[{u'indices': [3, 17], u'id': 163154809, u'id_str': u'163154809', u'name': u'Alice Goldfuss', u'screen_name': u'alicegoldfuss'}] 131 0.1%
 
[{u'indices': [3, 13], u'id_str': u'20167623', u'screen_name': u'kdnuggets', u'name': u'Gregory Piatetsky', u'id': 20167623}] 129 0.1%
 
Other values (16691) 38362 39.0%
 
(Missing) 2379 2.4%
 

favorite_count
Numeric

Distinct count 111
Unique (%) 0.1%
Missing (%) 0.0%
Missing (n) 0
Mean 0.59821
Minimum 0
Maximum 1165
Zeros (%) 82.2%

Quantile statistics

Minimum 0
5-th percentile 0
Q1 0
Median 0
Q3 0
95-th percentile 2
Maximum 1165
Range 1165
Interquartile range 0

Descriptive statistics

Standard deviation 6.6348
Coef of variation 11.091
Kurtosis 13257
Mean 0.59821
MAD 0.98313
Skewness 95.43
Sum 58860
Variance 44.02
Memory size 768.8 KiB

favorited
Constant

This variable is constant and should be ignored for analysis

Constant value False

geo_coordinates
Categorical

Distinct count 184
Unique (%) 56.6%
Missing (%) 99.7%
Missing (n) 98068
[38.9784453, -76.4921829]
 
15
[42.3600825, -71.0588801]
 
13
[37.5364134, -122.2455364]
 
9
Other values (180)
 
288
(Missing)
98068
Value Count Frequency (%)  
[38.9784453, -76.4921829] 15 0.0%
 
[42.3600825, -71.0588801] 13 0.0%
 
[37.5364134, -122.2455364] 9 0.0%
 
[37.4418834, -122.1430195] 6 0.0%
 
[39.9205411, -105.0866504] 6 0.0%
 
[-6.21167266, 106.81396893] 5 0.0%
 
[33.046233, -96.994174] 4 0.0%
 
[44.9260794, -93.4044187] 4 0.0%
 
[34.02875, -118.4717975] 4 0.0%
 
[30.401356, -97.7525352] 4 0.0%
 
[33.7489954, -84.3879824] 4 0.0%
 
[9.61432594, 123.93939268] 4 0.0%
 
[41.8239891, -71.4128343] 4 0.0%
 
[37.4852152, -122.2363548] 4 0.0%
 
[35.9940329, -78.898619] 3 0.0%
 
[54.0633, -2.88424] 3 0.0%
 
[40.7142, -74.0064] 3 0.0%
 
[41.49932, -81.6943605] 3 0.0%
 
[33.6588951, -117.8282121] 3 0.0%
 
[33.68933986, -117.95339591] 3 0.0%
 
Other values (163) 221 0.2%
 
(Missing) 98068 99.7%
 

geo_type
Categorical

Distinct count 2
Unique (%) 0.6%
Missing (%) 99.7%
Missing (n) 98068
Point
 
325
(Missing)
98068
Value Count Frequency (%)  
Point 325 0.3%
 
(Missing) 98068 99.7%
 

id
Numeric

Distinct count 97449
Unique (%) 99.0%
Missing (%) 0.0%
Missing (n) 0
Mean 7.2435e+17
Minimum 721430635231911936
Maximum 727529937045872644
Zeros (%) 0.0%

Quantile statistics

Minimum 721430635231911936
5-th percentile 7.2177e+17
Q1 7.2286e+17
Median 7.2426e+17
Q3 7.2573e+17
95-th percentile 7.2721e+17
Maximum 727529937045872644
Range 6099301813960708
Interquartile range 2.8662e+15

Descriptive statistics

Standard deviation 1.7143e+15
Coef of variation 0.0023667
Kurtosis -1.1128
Mean 7.2435e+17
MAD 1.473e+15
Skewness 0.14224
Sum -7619339832347346675
Variance 2.9389e+3
Memory size 768.8 KiB

id_str
Highly correlated

This variable is highly correlated with id and should be ignored for analysis

Correlation 1

in_reply_to_screen_name
Categorical

Distinct count 4467
Unique (%) 72.4%
Missing (%) 93.7%
Missing (n) 92226
AlbinoNagaBoy
 
76
MC5_Python
 
31
SnakeBytesTV
 
22
Other values (4463)
 
6038
(Missing)
92226
Value Count Frequency (%)  
AlbinoNagaBoy 76 0.1%
 
MC5_Python 31 0.0%
 
SnakeBytesTV 22 0.0%
 
Cyptic_Python 19 0.0%
 
masonasons 19 0.0%
 
AlbinoCornsnxke 18 0.0%
 
Python_Cyptic 17 0.0%
 
JohnCleese 15 0.0%
 
kuramanga 15 0.0%
 
msisodia 14 0.0%
 
PythonGB 13 0.0%
 
eevee 13 0.0%
 
DrSoulHope_ 12 0.0%
 
Python_85 12 0.0%
 
mikegrimshaw2 12 0.0%
 
randal_olson 12 0.0%
 
grayj_ 11 0.0%
 
ThePSF 11 0.0%
 
GoDz_Leofur 11 0.0%
 
Raimuteru 10 0.0%
 
Other values (4446) 5804 5.9%
 
(Missing) 92226 93.7%
 

in_reply_to_status_id
Numeric

Distinct count 5028
Unique (%) 95.0%
Missing (%) 94.6%
Missing (n) 93099
Mean 7.2387e+17
Minimum 4.6637e+17
Maximum 7.2753e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 4.6637e+17
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2753e+17
Range 2.6115e+17
Interquartile range

Descriptive statistics

Standard deviation 8.5396e+15
Coef of variation 0.011797
Kurtosis 565.48
Mean 7.2387e+17
MAD 2.0589e+15
Skewness -21.815
Sum 3.8322e+21
Variance 7.2925e+31
Memory size 768.8 KiB

in_reply_to_status_id_str
Highly correlated

This variable is highly correlated with in_reply_to_status_id and should be ignored for analysis

Correlation 1

in_reply_to_user_id
Numeric

Distinct count 4463
Unique (%) 72.4%
Missing (%) 93.7%
Missing (n) 92226
Mean 2.3003e+16
Minimum 409
Maximum 7.2675e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 409
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2675e+17
Range 7.2675e+17
Interquartile range

Descriptive statistics

Standard deviation 1.2632e+17
Coef of variation 5.4913
Kurtosis 26.216
Mean 2.3003e+16
MAD 4.453e+16
Skewness 5.3107
Sum 1.4186e+2
Variance 1.5957e+34
Memory size 768.8 KiB

in_reply_to_user_id_str
Highly correlated

This variable is highly correlated with in_reply_to_user_id and should be ignored for analysis

Correlation 1

is_quote_status
Numeric

Distinct count 2
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 0
Mean 0.02238
Minimum False
Maximum True
Zeros (%) 97.8%

Quantile statistics

Minimum False
5-th percentile 0
Q1 0
Median 0
Q3 0
95-th percentile 0
Maximum True
Range True
Interquartile range 0

Descriptive statistics

Standard deviation 0.14792
Coef of variation 6.6094
Kurtosis 39.708
Mean 0.02238
MAD 0.043758
Skewness 6.4581
Sum 2202
Variance 0.021879
Memory size 96.2 KiB

lang
Categorical

Distinct count 5
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 0
en
98387
in
 
3
es
 
1
Other values (2)
 
2
Value Count Frequency (%)  
en 98387 100.0%
 
in 3 0.0%
 
es 1 0.0%
 
und 1 0.0%
 
ru 1 0.0%
 

lat
Numeric

Distinct count 184
Unique (%) 56.6%
Missing (%) 99.7%
Missing (n) 98068
Mean 33.934
Minimum -33.925
Maximum 59.801
Zeros (%) 0.0%

Quantile statistics

Minimum -33.925
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 59.801
Range 93.726
Interquartile range

Descriptive statistics

Standard deviation 16.855
Coef of variation 0.49671
Kurtosis 5.3495
Mean 33.934
MAD 10.38
Skewness -2.2806
Sum 11028
Variance 284.1
Memory size 768.8 KiB

lon
Numeric

Distinct count 184
Unique (%) 56.6%
Missing (%) 99.7%
Missing (n) 98068
Mean -56.554
Minimum -123.01
Maximum 151.74
Zeros (%) 0.0%

Quantile statistics

Minimum -123.01
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 151.74
Range 274.75
Interquartile range

Descriptive statistics

Standard deviation 71.105
Coef of variation -1.2573
Kurtosis 0.99508
Mean -56.554
MAD 55.355
Skewness 1.4185
Sum -18380
Variance 5055.9
Memory size 768.8 KiB

metadata_iso_language_code
Categorical

Distinct count 5
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 0
en
98387
in
 
3
es
 
1
Other values (2)
 
2
Value Count Frequency (%)  
en 98387 100.0%
 
in 3 0.0%
 
es 1 0.0%
 
und 1 0.0%
 
ru 1 0.0%
 

metadata_result_type
Constant

This variable is constant and should be ignored for analysis

Constant value recent

place_bounding_box_coordinates
Categorical

Distinct count 607
Unique (%) 47.4%
Missing (%) 98.7%
Missing (n) 97112
[[[-74.026675, 40.683935], [-73.910408, 40.683935], [-73.910408, 40.877483], [-74.026675, 40.877483]]]
 
33
[[[-117.282538, 32.53962], [-116.9274403, 32.53962], [-116.9274403, 33.0804044], [-117.282538, 33.0804044]]]
 
23
[[[-122.514926, 37.708075], [-122.357031, 37.708075], [-122.357031, 37.833238], [-122.514926, 37.833238]]]
 
20
Other values (603)
 
1205
(Missing)
97112
Value Count Frequency (%)  
[[[-74.026675, 40.683935], [-73.910408, 40.683935], [-73.910408, 40.877483], [-74.026675, 40.877483]]] 33 0.0%
 
[[[-117.282538, 32.53962], [-116.9274403, 32.53962], [-116.9274403, 33.0804044], [-117.282538, 33.0804044]]] 23 0.0%
 
[[[-122.514926, 37.708075], [-122.357031, 37.708075], [-122.357031, 37.833238], [-122.514926, 37.833238]]] 20 0.0%
 
[[[-85.9730292, 42.943183], [-85.876713, 42.943183], [-85.876713, 42.99425], [-85.9730292, 42.99425]]] 19 0.0%
 
[[[-71.191421, 42.227797], [-70.986004, 42.227797], [-70.986004, 42.399542], [-71.191421, 42.399542]]] 18 0.0%
 
[[[-84.576827, 33.6475029], [-84.289385, 33.6475029], [-84.289385, 33.8868859], [-84.576827, 33.8868859]]] 16 0.0%
 
[[[2.2241006, 48.8155214], [2.4699053, 48.8155214], [2.4699053, 48.9021461], [2.2241006, 48.9021461]]] 15 0.0%
 
[[[-76.5533209, 38.941032], [-76.468263, 38.941032], [-76.468263, 38.9989], [-76.5533209, 38.9989]]] 15 0.0%
 
[[[-118.668404, 33.704538], [-118.155409, 33.704538], [-118.155409, 34.337041], [-118.668404, 34.337041]]] 14 0.0%
 
[[[-122.436232, 47.4953154], [-122.2249728, 47.4953154], [-122.2249728, 47.734319], [-122.436232, 47.734319]]] 14 0.0%
 
[[[-122.28853, 37.443954], [-122.177339, 37.443954], [-122.177339, 37.550633], [-122.28853, 37.550633]]] 13 0.0%
 
[[[-97.928935, 30.127892], [-97.5805133, 30.127892], [-97.5805133, 30.5187994], [-97.928935, 30.5187994]]] 12 0.0%
 
[[[-6.387438, 53.2987449], [-6.1078047, 53.2987449], [-6.1078047, 53.4110598], [-6.387438, 53.4110598]]] 12 0.0%
 
[[[-87.940033, 41.644102], [-87.523993, 41.644102], [-87.523993, 42.0230669], [-87.940033, 42.0230669]]] 10 0.0%
 
[[[-0.112442, 51.5068], [-0.0733794, 51.5068], [-0.0733794, 51.522161], [-0.112442, 51.522161]]] 9 0.0%
 
[[[-79.76259, 40.477383], [-71.777492, 40.477383], [-71.777492, 45.015851], [-79.76259, 45.015851]]] 8 0.0%
 
[[[-77.119401, 38.801826], [-76.909396, 38.801826], [-76.909396, 38.9953797], [-77.119401, 38.9953797]]] 8 0.0%
 
[[[-87.634643, 24.396308], [-79.974307, 24.396308], [-79.974307, 31.001056], [-87.634643, 31.001056]]] 8 0.0%
 
[[[-71.160356, 42.352429], [-71.064398, 42.352429], [-71.064398, 42.4039663], [-71.160356, 42.4039663]]] 8 0.0%
 
[[[-95.823268, 29.522325], [-95.069705, 29.522325], [-95.069705, 30.1546646], [-95.823268, 30.1546646]]] 7 0.0%
 
Other values (586) 999 1.0%
 
(Missing) 97112 98.7%
 

place_bounding_box_type
Categorical

Distinct count 2
Unique (%) 0.2%
Missing (%) 98.7%
Missing (n) 97112
Polygon
 
1281
(Missing)
97112
Value Count Frequency (%)  
Polygon 1281 1.3%
 
(Missing) 97112 98.7%
 

place_contained_within
Categorical

Distinct count 2
Unique (%) 0.2%
Missing (%) 98.7%
Missing (n) 97112
[]
 
1281
(Missing)
97112
Value Count Frequency (%)  
[] 1281 1.3%
 
(Missing) 97112 98.7%
 

place_country
Categorical

Distinct count 46
Unique (%) 3.9%
Missing (%) 98.8%
Missing (n) 97221
United States
 
750
United Kingdom
 
147
Canada
 
41
Other values (42)
 
234
(Missing)
97221
Value Count Frequency (%)  
United States 750 0.8%
 
United Kingdom 147 0.1%
 
Canada 41 0.0%
 
Australia 31 0.0%
 
Deutschland 22 0.0%
 
France 21 0.0%
 
Ireland 16 0.0%
 
Brasil 15 0.0%
 
Italia 14 0.0%
 
Polska 13 0.0%
 
South Africa 12 0.0%
 
Republika ng Pilipinas 12 0.0%
 
Malaysia 12 0.0%
 
Nederland 6 0.0%
 
Indonesia 6 0.0%
 
Schweiz 4 0.0%
 
Colombia 4 0.0%
 
Bangladesh 4 0.0%
 
Danmark 3 0.0%
 
Sverige 3 0.0%
 
Other values (25) 36 0.0%
 
(Missing) 97221 98.8%
 

place_country_code
Categorical

Distinct count 71
Unique (%) 5.6%
Missing (%) 98.7%
Missing (n) 97115
US
 
750
GB
 
147
CA
 
41
Other values (67)
 
340
(Missing)
97115
Value Count Frequency (%)  
US 750 0.8%
 
GB 147 0.1%
 
CA 41 0.0%
 
IN 36 0.0%
 
AU 31 0.0%
 
DE 22 0.0%
 
FR 21 0.0%
 
IE 16 0.0%
 
BR 15 0.0%
 
IT 14 0.0%
 
PL 13 0.0%
 
PH 12 0.0%
 
MY 12 0.0%
 
ZA 12 0.0%
 
ES 9 0.0%
 
SG 7 0.0%
 
NL 6 0.0%
 
ID 6 0.0%
 
MX 5 0.0%
 
BE 5 0.0%
 
Other values (50) 98 0.1%
 
(Missing) 97115 98.7%
 

place_full_name
Categorical

Distinct count 587
Unique (%) 46.7%
Missing (%) 98.7%
Missing (n) 97135
Manhattan, NY
 
33
San Diego, CA
 
23
San Francisco, CA
 
20
Other values (583)
 
1182
(Missing)
97135
Value Count Frequency (%)  
Manhattan, NY 33 0.0%
 
San Diego, CA 23 0.0%
 
San Francisco, CA 20 0.0%
 
Allendale, MI 19 0.0%
 
Boston, MA 18 0.0%
 
Atlanta, GA 16 0.0%
 
Seattle, WA 15 0.0%
 
Paris, France 15 0.0%
 
Annapolis, MD 15 0.0%
 
Los Angeles, CA 14 0.0%
 
Redwood City, CA 13 0.0%
 
Austin, TX 12 0.0%
 
Dublin City, Ireland 12 0.0%
 
Chicago, IL 10 0.0%
 
City of London, London 9 0.0%
 
Cambridge, MA 8 0.0%
 
Washington, DC 8 0.0%
 
New York, USA 8 0.0%
 
Florida, USA 8 0.0%
 
Berlin, Germany 7 0.0%
 
Other values (566) 975 1.0%
 
(Missing) 97135 98.7%
 

place_id
Categorical

Distinct count 609
Unique (%) 47.5%
Missing (%) 98.7%
Missing (n) 97112
01a9a39529b27f36
 
33
a592bd6ceb1319f7
 
23
5a110d312052166f
 
20
Other values (605)
 
1205
(Missing)
97112
Value Count Frequency (%)  
01a9a39529b27f36 33 0.0%
 
a592bd6ceb1319f7 23 0.0%
 
5a110d312052166f 20 0.0%
 
5b0caebf50f0bf61 19 0.0%
 
67b98f17fdcf20be 18 0.0%
 
8173485c72e78ca5 16 0.0%
 
09f6a7707f18e0b1 15 0.0%
 
aa509e938179ea44 15 0.0%
 
300bcc6e23a88361 14 0.0%
 
3b77caf94bfc81fe 14 0.0%
 
a409256339a7c6a1 13 0.0%
 
7dde0febc9ef245b 12 0.0%
 
c3f37afa9efcf94b 12 0.0%
 
1d9a5370a355ab0c 10 0.0%
 
3eb2c704fe8a50cb 9 0.0%
 
94965b2c45386f87 8 0.0%
 
4ec01c9dbc693497 8 0.0%
 
01fbe706f872cb32 8 0.0%
 
8193d87541f11dfb 8 0.0%
 
3ad0f706b3fa62a8 7 0.0%
 
Other values (588) 999 1.0%
 
(Missing) 97112 98.7%
 

place_name
Categorical

Distinct count 582
Unique (%) 46.1%
Missing (%) 98.7%
Missing (n) 97131
Manhattan
 
35
San Diego
 
23
San Francisco
 
20
Other values (578)
 
1184
(Missing)
97131
Value Count Frequency (%)  
Manhattan 35 0.0%
 
San Diego 23 0.0%
 
San Francisco 20 0.0%
 
Allendale 19 0.0%
 
Boston 18 0.0%
 
Atlanta 16 0.0%
 
Seattle 15 0.0%
 
Paris 15 0.0%
 
Annapolis 15 0.0%
 
Los Angeles 14 0.0%
 
Redwood City 13 0.0%
 
Austin 13 0.0%
 
Dublin City 12 0.0%
 
Cambridge 10 0.0%
 
Chicago 10 0.0%
 
Washington 9 0.0%
 
City of London 9 0.0%
 
New York 8 0.0%
 
Florida 8 0.0%
 
Maryland 7 0.0%
 
Other values (561) 973 1.0%
 
(Missing) 97131 98.7%
 

place_place_type
Categorical

Distinct count 6
Unique (%) 0.5%
Missing (%) 98.7%
Missing (n) 97112
city
 
1041
admin
 
130
neighborhood
 
45
Other values (2)
 
65
(Missing)
97112
Value Count Frequency (%)  
city 1041 1.1%
 
admin 130 0.1%
 
neighborhood 45 0.0%
 
country 45 0.0%
 
poi 20 0.0%
 
(Missing) 97112 98.7%
 

place_url
Categorical

Distinct count 609
Unique (%) 47.5%
Missing (%) 98.7%
Missing (n) 97112
https://api.twitter.com/1.1/geo/id/01a9a39529b27f36.json
 
33
https://api.twitter.com/1.1/geo/id/a592bd6ceb1319f7.json
 
23
https://api.twitter.com/1.1/geo/id/5a110d312052166f.json
 
20
Other values (605)
 
1205
(Missing)
97112
Value Count Frequency (%)  
https://api.twitter.com/1.1/geo/id/01a9a39529b27f36.json 33 0.0%
 
https://api.twitter.com/1.1/geo/id/a592bd6ceb1319f7.json 23 0.0%
 
https://api.twitter.com/1.1/geo/id/5a110d312052166f.json 20 0.0%
 
https://api.twitter.com/1.1/geo/id/5b0caebf50f0bf61.json 19 0.0%
 
https://api.twitter.com/1.1/geo/id/67b98f17fdcf20be.json 18 0.0%
 
https://api.twitter.com/1.1/geo/id/8173485c72e78ca5.json 16 0.0%
 
https://api.twitter.com/1.1/geo/id/09f6a7707f18e0b1.json 15 0.0%
 
https://api.twitter.com/1.1/geo/id/aa509e938179ea44.json 15 0.0%
 
https://api.twitter.com/1.1/geo/id/300bcc6e23a88361.json 14 0.0%
 
https://api.twitter.com/1.1/geo/id/3b77caf94bfc81fe.json 14 0.0%
 
https://api.twitter.com/1.1/geo/id/a409256339a7c6a1.json 13 0.0%
 
https://api.twitter.com/1.1/geo/id/c3f37afa9efcf94b.json 12 0.0%
 
https://api.twitter.com/1.1/geo/id/7dde0febc9ef245b.json 12 0.0%
 
https://api.twitter.com/1.1/geo/id/1d9a5370a355ab0c.json 10 0.0%
 
https://api.twitter.com/1.1/geo/id/3eb2c704fe8a50cb.json 9 0.0%
 
https://api.twitter.com/1.1/geo/id/94965b2c45386f87.json 8 0.0%
 
https://api.twitter.com/1.1/geo/id/01fbe706f872cb32.json 8 0.0%
 
https://api.twitter.com/1.1/geo/id/8193d87541f11dfb.json 8 0.0%
 
https://api.twitter.com/1.1/geo/id/4ec01c9dbc693497.json 8 0.0%
 
https://api.twitter.com/1.1/geo/id/1c69a67ad480e1b1.json 7 0.0%
 
Other values (588) 999 1.0%
 
(Missing) 97112 98.7%
 

possibly_sensitive
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 18.0%
Missing (n) 17708
False
77060
True
 
3625
(Missing)
17708
Value Count Frequency (%)  
False 77060 78.3%
 
True 3625 3.7%
 
(Missing) 17708 18.0%
 

quoted_status_created_at
Categorical

Distinct count 663
Unique (%) 87.9%
Missing (%) 99.2%
Missing (n) 97639
Sun Apr 24 12:30:30 +0000 2016
 
20
Fri Apr 01 18:43:01 +0000 2016
 
7
Wed Apr 27 17:18:34 +0000 2016
 
6
Other values (659)
 
721
(Missing)
97639
Value Count Frequency (%)  
Sun Apr 24 12:30:30 +0000 2016 20 0.0%
 
Fri Apr 01 18:43:01 +0000 2016 7 0.0%
 
Wed Apr 27 17:18:34 +0000 2016 6 0.0%
 
Mon Apr 25 14:10:27 +0000 2016 6 0.0%
 
Sat Apr 30 16:18:48 +0000 2016 5 0.0%
 
Tue May 03 01:51:52 +0000 2016 5 0.0%
 
Tue Apr 26 15:43:20 +0000 2016 5 0.0%
 
Wed Apr 27 06:56:03 +0000 2016 4 0.0%
 
Sat Apr 23 01:57:42 +0000 2016 4 0.0%
 
Sun Apr 17 20:07:28 +0000 2016 4 0.0%
 
Tue Apr 26 10:15:15 +0000 2016 4 0.0%
 
Fri Apr 22 18:50:23 +0000 2016 3 0.0%
 
Thu Apr 28 12:44:51 +0000 2016 3 0.0%
 
Wed Apr 20 16:11:10 +0000 2016 3 0.0%
 
Sun Apr 24 12:54:34 +0000 2016 3 0.0%
 
Sun Apr 24 01:43:46 +0000 2016 3 0.0%
 
Thu Apr 21 03:59:40 +0000 2016 2 0.0%
 
Tue May 03 15:00:11 +0000 2016 2 0.0%
 
Wed Apr 27 13:40:16 +0000 2016 2 0.0%
 
Tue Apr 19 16:22:07 +0000 2016 2 0.0%
 
Other values (642) 661 0.7%
 
(Missing) 97639 99.2%
 

quoted_status_entities_hashtags
Categorical

Distinct count 225
Unique (%) 30.0%
Missing (%) 99.2%
Missing (n) 97642
[]
 
499
[{u'indices': [0, 7], u'text': u'python'}, {u'indices': [8, 20], u'text': u'programming'}, {u'indices': [35, 42], u'text': u'coding'}]
 
4
[{u'indices': [17, 24], u'text': u'Python'}]
 
4
Other values (221)
 
244
(Missing)
97642
Value Count Frequency (%)  
[] 499 0.5%
 
[{u'indices': [0, 7], u'text': u'python'}, {u'indices': [8, 20], u'text': u'programming'}, {u'indices': [35, 42], u'text': u'coding'}] 4 0.0%
 
[{u'indices': [17, 24], u'text': u'Python'}] 4 0.0%
 
[{u'indices': [39, 46], u'text': u'Python'}] 4 0.0%
 
[{u'indices': [64, 71], u'text': u'rstats'}] 4 0.0%
 
[{u'indices': [21, 33], u'text': u'programming'}, {u'indices': [45, 54], u'text': u'benefits'}, {u'indices': [58, 65], u'text': u'python'}] 3 0.0%
 
[{u'indices': [31, 38], u'text': u'Python'}] 3 0.0%
 
[{u'indices': [75, 82], u'text': u'pydata'}] 3 0.0%
 
[{u'indices': [62, 69], u'text': u'Python'}] 2 0.0%
 
[{u'indices': [74, 81], u'text': u'python'}] 2 0.0%
 
[{u'indices': [11, 19], u'text': u'GraphQL'}] 2 0.0%
 
[{u'indices': [8, 15], u'text': u'askSPC'}] 2 0.0%
 
[{u'indices': [0, 7], u'text': u'python'}, {u'indices': [71, 79], u'text': u'pyconil'}] 2 0.0%
 
[{u'indices': [10, 24], u'text': u'DayAgainstDRM'}] 2 0.0%
 
[{u'indices': [122, 128], u'text': u'Cloud'}, {u'indices': [129, 137], u'text': u'Storage'}] 2 0.0%
 
[{u'indices': [14, 30], u'text': u'MachineLearning'}, {u'indices': [31, 43], u'text': u'DataScience'}, {u'indices': [44, 55], u'text': u'OpenSource'}, {u'indices': [89, 97], u'text': u'BigData'}, {u'indices': [98, 108], u'text': u'Analytics'}] 2 0.0%
 
[{u'indices': [32, 39], u'text': u'Python'}, {u'indices': [62, 74], u'text': u'DataScience'}] 2 0.0%
 
[{u'indices': [78, 90], u'text': u'DataScience'}, {u'indices': [91, 107], u'text': u'MachineLearning'}] 2 0.0%
 
[{u'indices': [0, 7], u'text': u'python'}] 2 0.0%
 
[{u'indices': [82, 88], u'text': u'BASIC'}, {u'indices': [89, 96], u'text': u'Python'}, {u'indices': [97, 109], u'text': u'programming'}] 1 0.0%
 
Other values (204) 204 0.2%
 
(Missing) 97642 99.2%
 

quoted_status_entities_symbols
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
[]
 
754
(Missing)
97639
Value Count Frequency (%)  
[] 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_entities_urls
Categorical

Distinct count 190
Unique (%) 38.0%
Missing (%) 99.5%
Missing (n) 97893
[]
 
303
[{u'indices': [99, 122], u'url': u'https://t.co/m3SkZoGNUQ', u'expanded_url': u'http://register.automatingosint.com/python-course/', u'display_url': u'register.automatingosint.com/python-course/'}]
 
3
[{u'url': u'https://t.co/0gEqu6Q1sP', u'indices': [93, 116], u'expanded_url': u'http://ow.ly/1094pe', u'display_url': u'ow.ly/1094pe'}]
 
2
Other values (186)
 
192
(Missing)
97893
Value Count Frequency (%)  
[] 303 0.3%
 
[{u'indices': [99, 122], u'url': u'https://t.co/m3SkZoGNUQ', u'expanded_url': u'http://register.automatingosint.com/python-course/', u'display_url': u'register.automatingosint.com/python-course/'}] 3 0.0%
 
[{u'url': u'https://t.co/0gEqu6Q1sP', u'indices': [93, 116], u'expanded_url': u'http://ow.ly/1094pe', u'display_url': u'ow.ly/1094pe'}] 2 0.0%
 
[{u'url': u'https://t.co/8mv1fPZL76', u'indices': [85, 108], u'expanded_url': u'http://buff.ly/1SvZsjr', u'display_url': u'buff.ly/1SvZsjr'}] 2 0.0%
 
[{u'url': u'https://t.co/YPYGJjzFUK', u'indices': [84, 107], u'expanded_url': u'http://oreil.ly/DRM-FREE-2016', u'display_url': u'oreil.ly/DRM-FREE-2016'}] 2 0.0%
 
[{u'url': u'https://t.co/ALKvFicSyT', u'indices': [65, 88], u'expanded_url': u'http://buff.ly/1SYputP', u'display_url': u'buff.ly/1SYputP'}] 2 0.0%
 
[{u'url': u'https://t.co/nupS18Em2B', u'indices': [50, 73], u'expanded_url': u'http://buff.ly/1SvhZL1', u'display_url': u'buff.ly/1SvhZL1'}] 2 0.0%
 
[{u'url': u'https://t.co/XM56ubnN99', u'indices': [85, 108], u'expanded_url': u'http://pyddf.de', u'display_url': u'pyddf.de'}] 2 0.0%
 
[{u'url': u'https://t.co/YrEJJSfalx', u'indices': [65, 88], u'expanded_url': u'http://bit.ly/1WDB4fl', u'display_url': u'bit.ly/1WDB4fl'}] 2 0.0%
 
[{u'url': u'https://t.co/QDMUHWM5YV', u'indices': [46, 69], u'expanded_url': u'http://bit.ly/1SypEKi', u'display_url': u'bit.ly/1SypEKi'}] 1 0.0%
 
[{u'url': u'https://t.co/F7mSGDiynz', u'indices': [29, 52], u'expanded_url': u'http://bit.ly/1MXI1Rc', u'display_url': u'bit.ly/1MXI1Rc'}] 1 0.0%
 
[{u'url': u'https://t.co/8EhPsCXeAA', u'indices': [72, 95], u'expanded_url': u'http://fb.me/10j8fK9DR', u'display_url': u'fb.me/10j8fK9DR'}] 1 0.0%
 
[{u'indices': [67, 90], u'url': u'https://t.co/qTm0yZqFSW', u'expanded_url': u'http://bit.ly/1WzHZ9H', u'display_url': u'bit.ly/1WzHZ9H'}] 1 0.0%
 
[{u'indices': [17, 40], u'url': u'https://t.co/ScyD3EkHG7', u'expanded_url': u'http://bit.ly/1PXolOx', u'display_url': u'bit.ly/1PXolOx'}] 1 0.0%
 
[{u'url': u'https://t.co/XlzInr9a53', u'indices': [58, 81], u'expanded_url': u'http://buff.ly/23isbrQ', u'display_url': u'buff.ly/23isbrQ'}] 1 0.0%
 
[{u'url': u'https://t.co/I0RH4tnkKf', u'indices': [83, 106], u'expanded_url': u'http://bit.ly/1Z3PYdO', u'display_url': u'bit.ly/1Z3PYdO'}] 1 0.0%
 
[{u'url': u'https://t.co/BxShhhNVf7', u'indices': [117, 140], u'expanded_url': u'http://meetu.ps/2WsXt7', u'display_url': u'meetu.ps/2WsXt7'}] 1 0.0%
 
[{u'indices': [107, 130], u'url': u'https://t.co/14D4FL5JR1', u'expanded_url': u'http://twitter.com/YATSGRANDVIEW/status/723233821668188160/photo/1', u'display_url': u'pic.twitter.com/14D4FL5JR1'}] 1 0.0%
 
[{u'url': u'https://t.co/DZfQlS4gwq', u'indices': [103, 126], u'expanded_url': u'https://www.cybrary.it/course/python/', u'display_url': u'cybrary.it/course/python/'}] 1 0.0%
 
[{u'url': u'https://t.co/CBhaP6WzR4', u'indices': [39, 62], u'expanded_url': u'http://4.nbcny.com/Gty4WjD', u'display_url': u'4.nbcny.com/Gty4WjD'}] 1 0.0%
 
Other values (169) 169 0.2%
 
(Missing) 97893 99.5%
 

quoted_status_entities_user_mentions
Categorical

Distinct count 195
Unique (%) 26.1%
Missing (%) 99.2%
Missing (n) 97647
[]
 
548
[{u'indices': [75, 84], u'screen_name': u'DataCamp', u'id': 1568606814, u'name': u'DataCamp', u'id_str': u'1568606814'}]
 
2
[{u'indices': [38, 49], u'id': 2326251343, u'id_str': u'2326251343', u'name': u'Trey Hunner', u'screen_name': u'treyhunner'}]
 
2
Other values (191)
 
194
(Missing)
97647
Value Count Frequency (%)  
[] 548 0.6%
 
[{u'indices': [75, 84], u'screen_name': u'DataCamp', u'id': 1568606814, u'name': u'DataCamp', u'id_str': u'1568606814'}] 2 0.0%
 
[{u'indices': [38, 49], u'id': 2326251343, u'id_str': u'2326251343', u'name': u'Trey Hunner', u'screen_name': u'treyhunner'}] 2 0.0%
 
[{u'indices': [50, 62], u'id_str': u'2915491332', u'screen_name': u'ByondTravel', u'name': u'Byond Travel', u'id': 2915491332}] 2 0.0%
 
[{u'indices': [0, 7], u'id': 586909317, u'id_str': u'586909317', u'name': u'NWS SPC', u'screen_name': u'NWSSPC'}] 2 0.0%
 
[{u'indices': [0, 13], u'screen_name': u'CloudCareers', u'id': 83373746, u'name': u'Cloud Careers', u'id_str': u'83373746'}] 2 0.0%
 
[{u'indices': [78, 92], u'id': 3273261744, u'id_str': u'3273261744', u'name': u'Unite Ideas', u'screen_name': u'UN_UniteIdeas'}] 1 0.0%
 
[{u'indices': [67, 75], u'screen_name': u'J_Tom70', u'id': 198212918, u'name': u'Tomasz', u'id_str': u'198212918'}] 1 0.0%
 
[{u'indices': [64, 80], u'screen_name': u'ServestCatering', u'id': 154569595, u'name': u'Servest Catering', u'id_str': u'154569595'}, {u'indices': [81, 95], u'screen_name': u'victoriabugg1', u'id': 4707441437, u'name': u'Victoria Tomlinson', u'id_str': u'4707441437'}, {u'indices': [96, 111], u'screen_name': u'cruickshanks_t', u'id': 4824293733, u'name': u'Tamara Cruickshanks', u'id_str': u'4824293733'}] 1 0.0%
 
[{u'indices': [11, 18], u'id_str': u'80422885', u'screen_name': u'kaggle', u'name': u'Kaggle', u'id': 80422885}] 1 0.0%
 
[{u'indices': [0, 16], u'id': 90962704, u'id_str': u'90962704', u'name': u'Reece Shearsmith', u'screen_name': u'ReeceShearsmith'}, {u'indices': [17, 31], u'id': 166966715, u'id_str': u'166966715', u'name': u'Gareth Roberts', u'screen_name': u'OldRoberts953'}, {u'indices': [32, 43], u'id': 164242095, u'id_str': u'164242095', u'name': u'Mark Gatiss', u'screen_name': u'Markgatiss'}] 1 0.0%
 
[{u'indices': [76, 82], u'id': 7202792, u'id_str': u'7202792', u'name': u'Zooba', u'screen_name': u'zooba'}] 1 0.0%
 
[{u'indices': [0, 8], u'id': 15312928, u'id_str': u'15312928', u'name': u'Interop', u'screen_name': u'interop'}, {u'indices': [17, 27], u'id': 229704742, u'id_str': u'229704742', u'name': u'Kirk Byers', u'screen_name': u'kirkbyers'}] 1 0.0%
 
[{u'indices': [28, 38], u'screen_name': u'Cardinals', u'id': 52847728, u'name': u'St. Louis Cardinals', u'id_str': u'52847728'}, {u'indices': [66, 79], u'screen_name': u'JasonHeyward', u'id': 63246225, u'name': u'jheytwotwo', u'id_str': u'63246225'}] 1 0.0%
 
[{u'indices': [1, 11], u'id': 175198393, u'id_str': u'175198393', u'name': u'lil boat', u'screen_name': u'lilyachty'}, {u'indices': [29, 44], u'id': 29166305, u'id_str': u'29166305', u'name': u'RiFF RAFF', u'screen_name': u'JODYHiGHROLLER'}] 1 0.0%
 
[{u'indices': [29, 41], u'screen_name': u'BaIIPythons', u'id': 3309898397, u'name': u'Ball Pythons', u'id_str': u'3309898397'}] 1 0.0%
 
[{u'indices': [22, 34], u'id': 2544208537, u'id_str': u'2544208537', u'name': u'Django Girls', u'screen_name': u'djangogirls'}] 1 0.0%
 
[{u'indices': [51, 61], u'screen_name': u'eWEEKNews', u'id': 15856164, u'name': u'eWEEK', u'id_str': u'15856164'}, {u'indices': [86, 93], u'screen_name': u'IBMIoT', u'id': 1953648950, u'name': u'IBM IoT', u'id_str': u'1953648950'}] 1 0.0%
 
[{u'indices': [21, 35], u'screen_name': u'ChicagoPython', u'id': 4145734157, u'name': u'ChiPy', u'id_str': u'4145734157'}, {u'indices': [46, 59], u'screen_name': u'SproutSocial', u'id': 42793960, u'name': u'Sprout Social', u'id_str': u'42793960'}] 1 0.0%
 
[{u'indices': [50, 61], u'id': 10810102, u'id_str': u'10810102', u'name': u'John Cleese', u'screen_name': u'JohnCleese'}, {u'indices': [62, 71], u'id': 862483279, u'id_str': u'862483279', u'name': u'Eric Idle', u'screen_name': u'EricIdle'}, {u'indices': [72, 85], u'id': 421944319, u'id_str': u'421944319', u'name': u'Terry Gilliam', u'screen_name': u'TerryGilliam'}, {u'indices': [86, 98], u'id': 320134516, u'id_str': u'320134516', u'name': u'Terry Jones', u'screen_name': u'PythonJones'}] 1 0.0%
 
Other values (174) 174 0.2%
 
(Missing) 97647 99.2%
 

quoted_status_favorite_count
Numeric

Distinct count 159
Unique (%) 21.1%
Missing (%) 99.2%
Missing (n) 97639
Mean 290.39
Minimum 0
Maximum 22699
Zeros (%) 0.1%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 22699
Range 22699
Interquartile range

Descriptive statistics

Standard deviation 1669.7
Coef of variation 5.7499
Kurtosis 129.79
Mean 290.39
MAD 477.28
Skewness 10.727
Sum 218950
Variance 2787900
Memory size 768.8 KiB

quoted_status_favorited
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
False
 
754
(Missing)
97639
Value Count Frequency (%)  
False 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_id
Numeric

Distinct count 666
Unique (%) 0.7%
Missing (%) 1.1%
Missing (n) 1110
Mean 5.596e+15
Minimum -1
Maximum 7.2752e+17
Zeros (%) 0.0%

Quantile statistics

Minimum -1
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2752e+17
Range 7.2752e+17
Interquartile range

Descriptive statistics

Standard deviation 6.3368e+16
Coef of variation 11.324
Kurtosis 124.31
Mean 5.596e+15
MAD 1.1105e+16
Skewness 11.238
Sum 5.4439e+2
Variance 4.0155e+33
Memory size 768.8 KiB

quoted_status_id_str
Highly correlated

This variable is highly correlated with quoted_status_id and should be ignored for analysis

Correlation 1

quoted_status_is_quote_status
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
709
True
 
45
(Missing)
97639
Value Count Frequency (%)  
False 709 0.7%
 
True 45 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_lang
Categorical

Distinct count 16
Unique (%) 2.1%
Missing (%) 99.2%
Missing (n) 97639
en
 
704
und
 
22
de
 
5
Other values (12)
 
23
(Missing)
97639
Value Count Frequency (%)  
en 704 0.7%
 
und 22 0.0%
 
de 5 0.0%
 
es 4 0.0%
 
pt 3 0.0%
 
fr 3 0.0%
 
in 3 0.0%
 
cy 2 0.0%
 
tl 2 0.0%
 
ht 1 0.0%
 
zh 1 0.0%
 
pl 1 0.0%
 
nl 1 0.0%
 
uk 1 0.0%
 
ro 1 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_metadata_iso_language_code
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
en
 
754
(Missing)
97639
Value Count Frequency (%)  
en 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_metadata_result_type
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
recent
 
754
(Missing)
97639
Value Count Frequency (%)  
recent 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_possibly_sensitive
Categorical

Distinct count 3
Unique (%) 0.5%
Missing (%) 99.4%
Missing (n) 97807
False
 
582
True
 
4
(Missing)
97807
Value Count Frequency (%)  
False 582 0.6%
 
True 4 0.0%
 
(Missing) 97807 99.4%
 

quoted_status_retweet_count
Highly correlated

This variable is highly correlated with quoted_status_favorite_count and should be ignored for analysis

Correlation 0.96633

quoted_status_retweeted
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
False
 
754
(Missing)
97639
Value Count Frequency (%)  
False 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_source
Categorical

Distinct count 59
Unique (%) 7.9%
Missing (%) 99.2%
Missing (n) 97646
Twitter Web Client
 
206
Twitter for iPhone
 
166
Twitter for Android
 
70
Other values (55)
 
305
(Missing)
97646
Value Count Frequency (%)  
Twitter Web Client 206 0.2%
 
Twitter for iPhone 166 0.2%
 
Twitter for Android 70 0.1%
 
TweetDeck 61 0.1%
 
Hootsuite 60 0.1%
 
Buffer 50 0.1%
 
Tweetbot for Mac 18 0.0%
 
Twitter Ads 10 0.0%
 
Twitter for Mac 9 0.0%
 
Twitter for iPad 8 0.0%
 
Sprout Social 7 0.0%
 
IFTTT 6 0.0%
 
twitterfeed 6 0.0%
 
SocialFlow 6 0.0%
 
Facebook 4 0.0%
 
Instagram 3 0.0%
 
Echofon 3 0.0%
 
Sprinklr 3 0.0%
 
LinkedIn 3 0.0%
 
WordPress.com 3 0.0%
 
Other values (38) 45 0.0%
 
(Missing) 97646 99.2%
 

quoted_status_text
Categorical

Distinct count 565
Unique (%) 86.8%
Missing (%) 99.3%
Missing (n) 97742
would you stay in this room for 3 hours straight for 50 billion dollars https://t.co/nFjM5X1Imi
 
20
Make a skill that runs on the Amazon Echo with Python in 5 minutes or less https://t.co/nxjwzquJC5
 
7
IITs have been asked to teach Sanskrit: Smriti Irani https://t.co/LYew7hBvJA https://t.co/7eFucdjpmP
 
6
Other values (561)
 
618
(Missing)
97742
Value Count Frequency (%)  
would you stay in this room for 3 hours straight for 50 billion dollars https://t.co/nFjM5X1Imi 20 0.0%
 
Make a skill that runs on the Amazon Echo with Python in 5 minutes or less https://t.co/nxjwzquJC5 7 0.0%
 
IITs have been asked to teach Sanskrit: Smriti Irani https://t.co/LYew7hBvJA https://t.co/7eFucdjpmP 6 0.0%
 
New blog post: https://t.co/D8BiNcc9OG 6 0.0%
 
Part 6, about data visualization: https://t.co/Zjn0h9cvTy https://t.co/PoDO98Fp8x 5 0.0%
 
Intel encourages the OpenStack community to have an open mind and replace Python with Go -- Brave but unfeasible https://t.co/slpYLDyMRA 5 0.0%
 
After a year of using NodeJS in production https://t.co/YQ3C1OivjK 5 0.0%
 
#python #programming language Easy #coding tips https://t.co/BfpIucjg16 https://t.co/9ZB8VpYFVP 4 0.0%
 
I've been trying PyData the last 1-2 years, but will keep using #rstats for a while. https://t.co/MvsN1vwgXC 4 0.0%
 
This is what a black anaconda looks like https://t.co/79biQQgtWy 4 0.0%
 
One of my best mates at uni had a pet Python. They mad chill https://t.co/iyPVzSWZDk 4 0.0%
 
Just released my #Python course. Short, to the point and primes you for learning Python for OSINT: https://t.co/m3SkZoGNUQ 4 0.0%
 
Need ideas for the Hermitcraft stream this evening - what'd you guys wanna see? :) 3 0.0%
 
New post: "conda-forge and PyData's CentOS moment" https://t.co/zJrYoOTkQx #pydata 3 0.0%
 
Python is a powerful #programming language, #benefits of #python https://t.co/TdqwACulT3 https://t.co/SLQqqISsSW 3 0.0%
 
Ubuntu 16.04 LTS released with #Python 3.5 as standard, rather than Python 2.7! Progress! https://t.co/0dEyFM6sVd https://t.co/sYkjvn7hzu 3 0.0%
 
Writing a line to the end of a file in #Python 2 0.0%
 
Which computer programming language is harder: Python or Java? 2 0.0%
 
..& I do a lot of functional programming in PHP too with callbacks and closures...that's something JAVA just got now https://t.co/EDmqtlpYdV 2 0.0%
 
Learn how to build an IoT-enabled smart parking meter & reserve YOUR own parking space! https://t.co/0gEqu6Q1sP https://t.co/pJ0k6hVKGl 2 0.0%
 
Other values (544) 557 0.6%
 
(Missing) 97742 99.3%
 

quoted_status_truncated
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
False
 
754
(Missing)
97639
Value Count Frequency (%)  
False 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_user_contributors_enabled
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
False
 
754
(Missing)
97639
Value Count Frequency (%)  
False 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_user_created_at
Categorical

Distinct count 587
Unique (%) 77.9%
Missing (%) 99.2%
Missing (n) 97639
Sat Apr 11 01:05:41 +0000 2015
 
20
Wed Mar 19 05:26:29 +0000 2008
 
8
Thu Jul 16 05:05:59 +0000 2015
 
7
Other values (583)
 
719
(Missing)
97639
Value Count Frequency (%)  
Sat Apr 11 01:05:41 +0000 2015 20 0.0%
 
Wed Mar 19 05:26:29 +0000 2008 8 0.0%
 
Thu Jul 16 05:05:59 +0000 2015 7 0.0%
 
Fri Mar 13 00:30:37 +0000 2009 7 0.0%
 
Thu Feb 25 19:06:53 +0000 2016 7 0.0%
 
Tue Sep 11 15:44:20 +0000 2012 7 0.0%
 
Sun Jun 21 20:13:18 +0000 2009 7 0.0%
 
Fri May 01 20:34:48 +0000 2009 6 0.0%
 
Fri Mar 23 16:35:17 +0000 2012 6 0.0%
 
Sun Aug 15 21:28:07 +0000 2010 6 0.0%
 
Mon Aug 11 04:02:18 +0000 2008 6 0.0%
 
Fri Aug 15 19:11:17 +0000 2014 6 0.0%
 
Sun Feb 20 01:07:23 +0000 2011 5 0.0%
 
Tue Feb 20 19:55:29 +0000 2007 5 0.0%
 
Thu Feb 18 21:01:15 +0000 2010 4 0.0%
 
Thu Feb 05 17:37:26 +0000 2009 4 0.0%
 
Thu Nov 19 04:24:29 +0000 2009 4 0.0%
 
Sat Feb 23 00:01:28 +0000 2008 4 0.0%
 
Tue Jan 21 06:25:19 +0000 2014 4 0.0%
 
Sun Feb 15 18:23:03 +0000 2009 4 0.0%
 
Other values (566) 627 0.6%
 
(Missing) 97639 99.2%
 

quoted_status_user_default_profile
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
563
True
 
191
(Missing)
97639
Value Count Frequency (%)  
False 563 0.6%
 
True 191 0.2%
 
(Missing) 97639 99.2%
 

quoted_status_user_default_profile_image
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
753
True
 
1
(Missing)
97639
Value Count Frequency (%)  
False 753 0.8%
 
True 1 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_user_description
Categorical

Distinct count 496
Unique (%) 77.4%
Missing (%) 99.3%
Missing (n) 97752
only dog can judge me @mia_delrey @ViCXT0RiA @drewftzain
 
20
Big data, machine learning, predictive modeling, R, Hadoop, Python, business analytics, data mining, IoT and operations research: resources, tutorials and more.
 
8
Itservicestalk brings all the latest news from the IT industry. Explore useful information concerning major IT companies, lesser-known facts & tips on IT
 
7
Other values (492)
 
606
(Missing)
97752
Value Count Frequency (%)  
only dog can judge me @mia_delrey @ViCXT0RiA @drewftzain 20 0.0%
 
Big data, machine learning, predictive modeling, R, Hadoop, Python, business analytics, data mining, IoT and operations research: resources, tutorials and more. 8 0.0%
 
Itservicestalk brings all the latest news from the IT industry. Explore useful information concerning major IT companies, lesser-known facts & tips on IT 7 0.0%
 
#AI & #MachineLearning researcher. Data tinkerer. Community leader for @DataIsBeautiful. Support my blog: https://t.co/cpRqH03lVP 7 0.0%
 
Official Twitter of Amazon Alexa Developers. Follow us for industry insights, voice design tips, inspirational integrations, and more about Amazon #AlexaDev. 7 0.0%
 
Data Scientist @MITTERA. Contributor to https://t.co/cAGKd9Kd1W and https://t.co/1M2ranWtjp 7 0.0%
 
Creator of @Hunchly. Blogging & training #OSINT techniques. Wrote a couple of @nostarch books. @Bellingcat contributor. Hunter @Arc4dia. 7 0.0%
 
Breaking news alerts from India 6 0.0%
 
Run @meanmapdotcom, @goodheadsio, @theCodeQuest, @fosslaravel, @justbuildio. Training World Class Developers & Making All Things PHP Fly @Andela 6 0.0%
 
Python BDFL. Working at Dropbox. The 'van' has no capital letter! 6 0.0%
 
Great coding resources and commentary. Sometimes wise, sometimes ridiculous, always helping you become a better developer. Created by @bendhalpern 6 0.0%
 
Tweets about SciPy (Scientific Python) and related topics from @JohnDCook. 5 0.0%
 
OpenStack R&D Engineering Manager at Red Hat. Sun alum. GNU maintainer. Former OpenSolaris, GNOME and Cherokee hacker. I void warranties. 5 0.0%
 
Data tool maker @cloudera. Creator of pandas, @IbisData. @ApacheArrow @ApacheParquet committer. Wrote Python for Data Analysis. Views are my own 4 0.0%
 
Posting mind blowing information. Learn Something daily with us. 4 0.0%
 
KDnuggets President, #Analytics, #BigData, #DataMining, #DataScience expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher. 4 0.0%
 
Mr.DRB LasGidi, Oil trader/Sports enthusiast/Artist Management/AR instagram: Teezeedrb . #TrapJungle #TZ11 #MUFC #LAKERNATION #OM bookfreshldrb@gmail.com 4 0.0%
 
No Starch Press Founder. We publish books for geeks. I'm probably ranting again. 4 0.0%
 
Asst. Prof. CS @txst (tweets my own). Trying to make algorithms better for people. #RecSys, #HCI, @LensKitRS. User-loving zealot. Self-propelled. 4 0.0%
 
Software Engineer, Design Enthusiast, Citizen of United States of Strategic Design and Agile Development 4 0.0%
 
Other values (475) 516 0.5%
 
(Missing) 97752 99.3%
 

quoted_status_user_entities_description_urls
Categorical

Distinct count 63
Unique (%) 8.5%
Missing (%) 99.2%
Missing (n) 97654
[]
 
664
[{u'url': u'https://t.co/f4gsbNc00C', u'indices': [118, 141], u'expanded_url': u'http://rocketdatascience.org/', u'display_url': u'rocketdatascience.org'}]
 
5
[{u'indices': [106, 129], u'url': u'https://t.co/cpRqH03lVP', u'expanded_url': u'http://patreon.com/randal_olson', u'display_url': u'patreon.com/randal_olson'}]
 
4
Other values (59)
 
66
(Missing)
97654
Value Count Frequency (%)  
[] 664 0.7%
 
[{u'url': u'https://t.co/f4gsbNc00C', u'indices': [118, 141], u'expanded_url': u'http://rocketdatascience.org/', u'display_url': u'rocketdatascience.org'}] 5 0.0%
 
[{u'indices': [106, 129], u'url': u'https://t.co/cpRqH03lVP', u'expanded_url': u'http://patreon.com/randal_olson', u'display_url': u'patreon.com/randal_olson'}] 4 0.0%
 
[{u'url': u'https://t.co/cpRqH03lVP', u'indices': [106, 129], u'expanded_url': u'http://patreon.com/randal_olson', u'display_url': u'patreon.com/randal_olson'}] 3 0.0%
 
[{u'url': u'https://t.co/1ENL6YPAhA', u'indices': [39, 62], u'expanded_url': u'http://twitch.tv/falsesymmetry', u'display_url': u'twitch.tv/falsesymmetry'}] 3 0.0%
 
[{u'url': u'https://t.co/wzKnd3knrD', u'indices': [41, 64], u'expanded_url': u'http://www.facebook.com/pyconisrael', u'display_url': u'facebook.com/pyconisrael'}] 2 0.0%
 
[{u'url': u'https://t.co/84fK7grnxc', u'indices': [60, 83], u'expanded_url': u'https://bandcamp.com/tl80ssynthwaves', u'display_url': u'bandcamp.com/tl80ssynthwaves'}, {u'url': u'https://t.co/K0DkVgYiGm', u'indices': [86, 109], u'expanded_url': u'https://soundcloud.com/tl80ssynthwaves', u'display_url': u'soundcloud.com/tl80ssynthwaves'}, {u'url': u'https://t.co/2oNmzJqA5d', u'indices': [112, 135], u'expanded_url': u'http://www.synthwave.de/impressum', u'display_url': u'synthwave.de/impressum'}] 2 0.0%
 
[{u'url': u'http://t.co/olzt8M25oa', u'indices': [43, 65], u'expanded_url': u'http://opensource.com', u'display_url': u'opensource.com'}] 2 0.0%
 
[{u'indices': [27, 50], u'url': u'https://t.co/JxvvUj0nHJ', u'expanded_url': u'http://www.creditsafe.com', u'display_url': u'creditsafe.com'}] 1 0.0%
 
[{u'indices': [43, 65], u'url': u'http://t.co/S3kDr8reJY', u'expanded_url': u'http://sonypictur.es/4VBchk', u'display_url': u'sonypictur.es/4VBchk'}, {u'indices': [79, 101], u'url': u'http://t.co/iUQ7YiCKPv', u'expanded_url': u'http://sonypictur.es/XZPhwR', u'display_url': u'sonypictur.es/XZPhwR'}] 1 0.0%
 
[{u'indices': [118, 141], u'url': u'https://t.co/f4gsbNc00C', u'expanded_url': u'http://rocketdatascience.org/', u'display_url': u'rocketdatascience.org'}] 1 0.0%
 
[{u'url': u'http://t.co/XP4czzYyQQ', u'indices': [120, 142], u'expanded_url': u'http://www.instant.ly/s/j3vqM', u'display_url': u'instant.ly/s/j3vqM'}] 1 0.0%
 
[{u'url': u'https://t.co/VeIliBW1Jd', u'indices': [77, 100], u'expanded_url': u'http://au.linkedin.com/in/tomdlee', u'display_url': u'au.linkedin.com/in/tomdlee'}] 1 0.0%
 
[{u'indices': [97, 119], u'url': u'http://t.co/16QGv879Ew', u'expanded_url': u'http://www.thesillywalk.com', u'display_url': u'thesillywalk.com'}] 1 0.0%
 
[{u'url': u'https://t.co/4j2O6aU8j1', u'indices': [70, 93], u'expanded_url': u'http://www.ufora.com', u'display_url': u'ufora.com'}] 1 0.0%
 
[{u'url': u'https://t.co/KyBOVaX2i1', u'indices': [117, 140], u'expanded_url': u'http://kck.st/1poiVFx', u'display_url': u'kck.st/1poiVFx'}] 1 0.0%
 
[{u'url': u'https://t.co/lojGiEmNH9', u'indices': [125, 148], u'expanded_url': u'http://www.dataelixir.com', u'display_url': u'dataelixir.com'}] 1 0.0%
 
[{u'url': u'http://t.co/mmcKkfCb7x', u'indices': [14, 36], u'expanded_url': u'http://www.buybea.com', u'display_url': u'buybea.com'}] 1 0.0%
 
[{u'url': u'http://t.co/Zx3lvZgNso', u'indices': [137, 159], u'expanded_url': u'http://www.bosch-si.com', u'display_url': u'bosch-si.com'}] 1 0.0%
 
[{u'url': u'https://t.co/HAjJQFN4qJ', u'indices': [0, 23], u'expanded_url': u'http://Learnetto.com', u'display_url': u'Learnetto.com'}] 1 0.0%
 
Other values (42) 42 0.0%
 
(Missing) 97654 99.2%
 

quoted_status_user_entities_url_urls
Categorical

Distinct count 413
Unique (%) 78.2%
Missing (%) 99.5%
Missing (n) 97865
[{u'url': u'https://t.co/kfeNXk1ZvC', u'indices': [0, 23], u'expanded_url': u'http://www.itservicestalk.com/', u'display_url': u'itservicestalk.com'}]
 
7
[{u'url': u'http://t.co/jujQDNMiBP', u'indices': [0, 22], u'expanded_url': u'http://python.org/~guido/', u'display_url': u'python.org/~guido/'}]
 
6
[{u'url': u'https://t.co/UBss2WoE0c', u'indices': [0, 23], u'expanded_url': u'http://developer.amazon.com/alexa', u'display_url': u'developer.amazon.com/alexa'}]
 
6
Other values (409)
 
509
(Missing)
97865
Value Count Frequency (%)  
[{u'url': u'https://t.co/kfeNXk1ZvC', u'indices': [0, 23], u'expanded_url': u'http://www.itservicestalk.com/', u'display_url': u'itservicestalk.com'}] 7 0.0%
 
[{u'url': u'http://t.co/jujQDNMiBP', u'indices': [0, 22], u'expanded_url': u'http://python.org/~guido/', u'display_url': u'python.org/~guido/'}] 6 0.0%
 
[{u'url': u'https://t.co/UBss2WoE0c', u'indices': [0, 23], u'expanded_url': u'http://developer.amazon.com/alexa', u'display_url': u'developer.amazon.com/alexa'}] 6 0.0%
 
[{u'url': u'https://t.co/lhcCPP1ReQ', u'indices': [0, 23], u'expanded_url': u'http://dev.to', u'display_url': u'dev.to'}] 6 0.0%
 
[{u'url': u'http://t.co/Z4M89fs6mB', u'indices': [0, 22], u'expanded_url': u'http://www.ndtv.com/', u'display_url': u'ndtv.com'}] 6 0.0%
 
[{u'url': u'http://t.co/h5mIushJhB', u'indices': [0, 22], u'expanded_url': u'http://tomaugspurger.github.io', u'display_url': u'tomaugspurger.github.io'}] 6 0.0%
 
[{u'indices': [0, 23], u'url': u'https://t.co/YrHZxRzBPT', u'expanded_url': u'https://github.com/unicodeveloper', u'display_url': u'github.com/unicodeveloper'}] 6 0.0%
 
[{u'url': u'http://t.co/QqJhW1XwJF', u'indices': [0, 22], u'expanded_url': u'http://www.alobbs.com/', u'display_url': u'alobbs.com'}] 5 0.0%
 
[{u'url': u'https://t.co/tWlmeuTlR7', u'indices': [0, 23], u'expanded_url': u'http://www.linkedin.com/in/kirkdborne', u'display_url': u'linkedin.com/in/kirkdborne'}] 5 0.0%
 
[{u'url': u'http://t.co/XRCViJsjmi', u'indices': [0, 22], u'expanded_url': u'http://automatingosint.com/blog', u'display_url': u'automatingosint.com/blog'}] 4 0.0%
 
[{u'url': u'https://t.co/VvIeqSfR6L', u'indices': [0, 23], u'expanded_url': u'http://Drblasgidi.tumblr.com', u'display_url': u'Drblasgidi.tumblr.com'}] 4 0.0%
 
[{u'url': u'https://t.co/Jk2xlYsQJr', u'indices': [0, 23], u'expanded_url': u'http://nostarch.com/', u'display_url': u'nostarch.com'}] 4 0.0%
 
[{u'indices': [0, 23], u'url': u'https://t.co/tpzAYxx9cq', u'expanded_url': u'http://www.randalolson.com', u'display_url': u'randalolson.com'}] 4 0.0%
 
[{u'url': u'http://t.co/aWUY84onbG', u'indices': [0, 22], u'expanded_url': u'http://www.kdnuggets.com/', u'display_url': u'kdnuggets.com'}] 4 0.0%
 
[{u'indices': [0, 22], u'url': u'http://t.co/Sn7I2XUnjf', u'expanded_url': u'http://md.ekstrandom.net', u'display_url': u'md.ekstrandom.net'}] 4 0.0%
 
[{u'url': u'https://t.co/vtMHCfZpoO', u'indices': [0, 23], u'expanded_url': u'http://JohnDCook.com', u'display_url': u'JohnDCook.com'}] 4 0.0%
 
[{u'url': u'https://t.co/qJQDLJwSjr', u'indices': [0, 23], u'expanded_url': u'http://wesmckinney.com', u'display_url': u'wesmckinney.com'}] 3 0.0%
 
[{u'url': u'https://t.co/r5ifYKcnD3', u'indices': [0, 23], u'expanded_url': u'https://rhettinger.wordpress.com', u'display_url': u'rhettinger.wordpress.com'}] 3 0.0%
 
[{u'indices': [0, 22], u'url': u'http://t.co/XRCViJsjmi', u'expanded_url': u'http://automatingosint.com/blog', u'display_url': u'automatingosint.com/blog'}] 3 0.0%
 
[{u'url': u'https://t.co/LNOBuM5l6N', u'indices': [0, 23], u'expanded_url': u'http://youtube.com/falsesymmetry', u'display_url': u'youtube.com/falsesymmetry'}] 3 0.0%
 
Other values (392) 435 0.4%
 
(Missing) 97865 99.5%
 

quoted_status_user_favourites_count
Numeric

Distinct count 513
Unique (%) 68.0%
Missing (%) 99.2%
Missing (n) 97639
Mean 8663.2
Minimum 0
Maximum 269480
Zeros (%) 0.0%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 269480
Range 269480
Interquartile range

Descriptive statistics

Standard deviation 24786
Coef of variation 2.861
Kurtosis 34.35
Mean 8663.2
MAD 12416
Skewness 5.1277
Sum 6532100
Variance 614340000
Memory size 768.8 KiB

quoted_status_user_followers_count
Numeric

Distinct count 594
Unique (%) 78.8%
Missing (%) 99.2%
Missing (n) 97639
Mean 234270
Minimum 12
Maximum 38507000
Zeros (%) 0.0%

Quantile statistics

Minimum 12
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 38507000
Range 38507000
Interquartile range

Descriptive statistics

Standard deviation 1687800
Coef of variation 7.2048
Kurtosis 359.49
Mean 234270
MAD 400850
Skewness 16.974
Sum 176640000
Variance 2.8488e+12
Memory size 768.8 KiB

quoted_status_user_friends_count
Numeric

Distinct count 499
Unique (%) 66.2%
Missing (%) 99.2%
Missing (n) 97639
Mean 3775.8
Minimum 0
Maximum 181260
Zeros (%) 0.0%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 181260
Range 181260
Interquartile range

Descriptive statistics

Standard deviation 14529
Coef of variation 3.8479
Kurtosis 50.503
Mean 3775.8
MAD 5404.8
Skewness 6.5349
Sum 2847000
Variance 211090000
Memory size 768.8 KiB

quoted_status_user_geo_enabled
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
419
True
 
335
(Missing)
97639
Value Count Frequency (%)  
False 419 0.4%
 
True 335 0.3%
 
(Missing) 97639 99.2%
 

quoted_status_user_has_extended_profile
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
626
True
 
128
(Missing)
97639
Value Count Frequency (%)  
False 626 0.6%
 
True 128 0.1%
 
(Missing) 97639 99.2%
 

quoted_status_user_id
Numeric

Distinct count 587
Unique (%) 77.9%
Missing (%) 99.2%
Missing (n) 97639
Mean 2.5451e+16
Minimum 4816
Maximum 7.2683e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 4816
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2683e+17
Range 7.2683e+17
Interquartile range

Descriptive statistics

Standard deviation 1.3217e+17
Coef of variation 5.1929
Kurtosis 23.142
Mean 2.5451e+16
MAD 4.908e+16
Skewness 5.0076
Sum 1.919e+19
Variance 1.7468e+34
Memory size 768.8 KiB

quoted_status_user_id_str
Highly correlated

This variable is highly correlated with quoted_status_user_id and should be ignored for analysis

Correlation 1

quoted_status_user_is_translation_enabled
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
727
True
 
27
(Missing)
97639
Value Count Frequency (%)  
False 727 0.7%
 
True 27 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_user_is_translator
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
False
 
754
(Missing)
97639
Value Count Frequency (%)  
False 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_user_lang
Categorical

Distinct count 14
Unique (%) 1.9%
Missing (%) 99.2%
Missing (n) 97639
en
 
706
es
 
11
de
 
10
Other values (10)
 
27
(Missing)
97639
Value Count Frequency (%)  
en 706 0.7%
 
es 11 0.0%
 
de 10 0.0%
 
fr 8 0.0%
 
en-gb 6 0.0%
 
pt 3 0.0%
 
en-GB 3 0.0%
 
it 2 0.0%
 
pl 1 0.0%
 
nl 1 0.0%
 
uk 1 0.0%
 
sv 1 0.0%
 
ru 1 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_user_listed_count
Highly correlated

This variable is highly correlated with quoted_status_user_followers_count and should be ignored for analysis

Correlation 0.91088

quoted_status_user_location
Categorical

Distinct count 343
Unique (%) 59.1%
Missing (%) 99.4%
Missing (n) 97813
Seattle, WA
 
23
slytherin
 
20
San Francisco, CA
 
16
Other values (339)
 
521
(Missing)
97813
Value Count Frequency (%)  
Seattle, WA 23 0.0%
 
slytherin 20 0.0%
 
San Francisco, CA 16 0.0%
 
London 14 0.0%
 
New York, NY 11 0.0%
 
UK 8 0.0%
 
Saskatoon, Saskatchewan 7 0.0%
 
San Francisco Bay Area 7 0.0%
 
Philadelphia, PA 7 0.0%
 
Des Moines, IA 7 0.0%
 
Portland, OR 6 0.0%
 
India 6 0.0%
 
Lagos, Nigeria 6 0.0%
 
Booz Allen Hamilton 6 0.0%
 
United Kingdom 5 0.0%
 
Madrid, Spain 5 0.0%
 
Houston 5 0.0%
 
London, England 5 0.0%
 
Los Angeles, CA 5 0.0%
 
Berlin 4 0.0%
 
Other values (322) 407 0.4%
 
(Missing) 97813 99.4%
 

quoted_status_user_name
Categorical

Distinct count 558
Unique (%) 77.0%
Missing (%) 99.3%
Missing (n) 97668
moana lisa
 
20
Big Data Science
 
8
IT Services talk
 
7
Other values (554)
 
690
(Missing)
97668
Value Count Frequency (%)  
moana lisa 20 0.0%
 
Big Data Science 8 0.0%
 
IT Services talk 7 0.0%
 
Randy Olson 7 0.0%
 
Alexa Developers 7 0.0%
 
Tom Augspurger 7 0.0%
 
Justin Seitz 7 0.0%
 
Kirk Borne 6 0.0%
 
NDTV 6 0.0%
 
Guido van Rossum 6 0.0%
 
Practical Developer 6 0.0%
 
Prosper Otemuyiwa 6 0.0%
 
Alvaro Lopez Ortega 5 0.0%
 
Scientific Python 5 0.0%
 
Wes McKinney 4 0.0%
 
Michael Ekstrand 4 0.0%
 
Learn Something 4 0.0%
 
Bill Pollock 4 0.0%
 
Gregory Piatetsky 4 0.0%
 
FreshPrinceOfLasGidi 4 0.0%
 
Other values (537) 598 0.6%
 
(Missing) 97668 99.3%
 

quoted_status_user_profile_background_color
Categorical

Distinct count 119
Unique (%) 15.8%
Missing (%) 99.2%
Missing (n) 97639
C0DEED
 
235
000000
 
151
131516
 
65
Other values (115)
 
303
(Missing)
97639
Value Count Frequency (%)  
C0DEED 235 0.2%
 
000000 151 0.2%
 
131516 65 0.1%
 
FFFFFF 36 0.0%
 
F5F8FA 29 0.0%
 
1A1B1F 29 0.0%
 
9AE4E8 17 0.0%
 
0099B9 14 0.0%
 
022330 13 0.0%
 
352726 11 0.0%
 
709397 8 0.0%
 
EDECE9 7 0.0%
 
BADFCD 6 0.0%
 
642D8B 6 0.0%
 
8B542B 4 0.0%
 
ABB8C2 4 0.0%
 
C6E2EE 4 0.0%
 
FF6699 3 0.0%
 
F2F2F2 3 0.0%
 
ACDED6 3 0.0%
 
Other values (98) 106 0.1%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_background_image_url
Categorical

Distinct count 252
Unique (%) 34.7%
Missing (%) 99.3%
Missing (n) 97666
http://abs.twimg.com/images/themes/theme1/bg.png
 
304
http://abs.twimg.com/images/themes/theme14/bg.gif
 
51
http://abs.twimg.com/images/themes/theme9/bg.gif
 
16
Other values (248)
 
356
(Missing)
97666
Value Count Frequency (%)  
http://abs.twimg.com/images/themes/theme1/bg.png 304 0.3%
 
http://abs.twimg.com/images/themes/theme14/bg.gif 51 0.1%
 
http://abs.twimg.com/images/themes/theme9/bg.gif 16 0.0%
 
http://abs.twimg.com/images/themes/theme15/bg.png 11 0.0%
 
http://abs.twimg.com/images/themes/theme4/bg.gif 10 0.0%
 
http://pbs.twimg.com/profile_background_images/33516583/water10x.gif 8 0.0%
 
http://abs.twimg.com/images/themes/theme6/bg.gif 8 0.0%
 
http://pbs.twimg.com/profile_background_images/457629516702035968/lKWBWYYG.jpeg 7 0.0%
 
http://pbs.twimg.com/profile_background_images/601385812760993793/2pxLSwZZ.jpg 6 0.0%
 
http://pbs.twimg.com/profile_background_images/632438131657084928/plbkTCb0.png 6 0.0%
 
http://pbs.twimg.com/profile_background_images/378800000110442114/094a0b4d38b70e3871a1bda7d7fe2341.jpeg 6 0.0%
 
http://abs.twimg.com/images/themes/theme16/bg.gif 5 0.0%
 
http://abs.twimg.com/images/themes/theme10/bg.gif 5 0.0%
 
http://abs.twimg.com/images/themes/theme18/bg.gif 5 0.0%
 
http://abs.twimg.com/images/themes/theme19/bg.gif 4 0.0%
 
http://pbs.twimg.com/profile_background_images/378800000050609482/c32d3d654da4eb7c0518e7bba2609522.jpeg 4 0.0%
 
http://pbs.twimg.com/profile_background_images/408567408/tumblr_lbqemyjIh71qc2pt6.jpg 4 0.0%
 
http://abs.twimg.com/images/themes/theme5/bg.gif 4 0.0%
 
http://abs.twimg.com/images/themes/theme17/bg.gif 3 0.0%
 
http://pbs.twimg.com/profile_background_images/495761070208712704/haezvpDK.jpeg 3 0.0%
 
Other values (231) 257 0.3%
 
(Missing) 97666 99.3%
 

quoted_status_user_profile_background_image_url_https
Categorical

Distinct count 252
Unique (%) 34.7%
Missing (%) 99.3%
Missing (n) 97666
https://abs.twimg.com/images/themes/theme1/bg.png
 
304
https://abs.twimg.com/images/themes/theme14/bg.gif
 
51
https://abs.twimg.com/images/themes/theme9/bg.gif
 
16
Other values (248)
 
356
(Missing)
97666
Value Count Frequency (%)  
https://abs.twimg.com/images/themes/theme1/bg.png 304 0.3%
 
https://abs.twimg.com/images/themes/theme14/bg.gif 51 0.1%
 
https://abs.twimg.com/images/themes/theme9/bg.gif 16 0.0%
 
https://abs.twimg.com/images/themes/theme15/bg.png 11 0.0%
 
https://abs.twimg.com/images/themes/theme4/bg.gif 10 0.0%
 
https://pbs.twimg.com/profile_background_images/33516583/water10x.gif 8 0.0%
 
https://abs.twimg.com/images/themes/theme6/bg.gif 8 0.0%
 
https://pbs.twimg.com/profile_background_images/457629516702035968/lKWBWYYG.jpeg 7 0.0%
 
https://pbs.twimg.com/profile_background_images/378800000110442114/094a0b4d38b70e3871a1bda7d7fe2341.jpeg 6 0.0%
 
https://pbs.twimg.com/profile_background_images/601385812760993793/2pxLSwZZ.jpg 6 0.0%
 
https://pbs.twimg.com/profile_background_images/632438131657084928/plbkTCb0.png 6 0.0%
 
https://abs.twimg.com/images/themes/theme16/bg.gif 5 0.0%
 
https://abs.twimg.com/images/themes/theme10/bg.gif 5 0.0%
 
https://abs.twimg.com/images/themes/theme18/bg.gif 5 0.0%
 
https://pbs.twimg.com/profile_background_images/378800000050609482/c32d3d654da4eb7c0518e7bba2609522.jpeg 4 0.0%
 
https://abs.twimg.com/images/themes/theme19/bg.gif 4 0.0%
 
https://pbs.twimg.com/profile_background_images/408567408/tumblr_lbqemyjIh71qc2pt6.jpg 4 0.0%
 
https://abs.twimg.com/images/themes/theme5/bg.gif 4 0.0%
 
https://abs.twimg.com/images/themes/theme3/bg.gif 3 0.0%
 
https://abs.twimg.com/images/themes/theme2/bg.gif 3 0.0%
 
Other values (231) 257 0.3%
 
(Missing) 97666 99.3%
 

quoted_status_user_profile_background_tile
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
547
True
 
207
(Missing)
97639
Value Count Frequency (%)  
False 547 0.6%
 
True 207 0.2%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_banner_url
Categorical

Distinct count 483
Unique (%) 77.7%
Missing (%) 99.4%
Missing (n) 97771
https://pbs.twimg.com/profile_banners/3148778196/1462202808
 
20
https://pbs.twimg.com/profile_banners/14174897/1401028953
 
8
https://pbs.twimg.com/profile_banners/817668451/1414765536
 
7
Other values (479)
 
587
(Missing)
97771
Value Count Frequency (%)  
https://pbs.twimg.com/profile_banners/3148778196/1462202808 20 0.0%
 
https://pbs.twimg.com/profile_banners/14174897/1401028953 8 0.0%
 
https://pbs.twimg.com/profile_banners/817668451/1414765536 7 0.0%
 
https://pbs.twimg.com/profile_banners/24083751/1433991225 7 0.0%
 
https://pbs.twimg.com/profile_banners/3281317123/1458886264 7 0.0%
 
https://pbs.twimg.com/profile_banners/702932794947694592/1457126887 7 0.0%
 
https://pbs.twimg.com/profile_banners/49413866/1439914461 7 0.0%
 
https://pbs.twimg.com/profile_banners/178849006/1458109168 6 0.0%
 
https://pbs.twimg.com/profile_banners/37034483/1461332995 6 0.0%
 
https://pbs.twimg.com/profile_banners/15804774/1400086274 6 0.0%
 
https://pbs.twimg.com/profile_banners/2735246778/1458157262 6 0.0%
 
https://pbs.twimg.com/profile_banners/534563976/1450104430 6 0.0%
 
https://pbs.twimg.com/profile_banners/784165/1401132904 5 0.0%
 
https://pbs.twimg.com/profile_banners/254791849/1458355479 5 0.0%
 
https://pbs.twimg.com/profile_banners/91035113/1450193006 4 0.0%
 
https://pbs.twimg.com/profile_banners/2655830472/1461341507 4 0.0%
 
https://pbs.twimg.com/profile_banners/20926161/1398526085 4 0.0%
 
https://pbs.twimg.com/profile_banners/20167623/1367620090 4 0.0%
 
https://pbs.twimg.com/profile_banners/8358082/1460691946 3 0.0%
 
https://pbs.twimg.com/profile_banners/50478950/1455266718 3 0.0%
 
Other values (462) 497 0.5%
 
(Missing) 97771 99.4%
 

quoted_status_user_profile_image_url
Categorical

Distinct count 587
Unique (%) 77.9%
Missing (%) 99.2%
Missing (n) 97639
http://pbs.twimg.com/profile_images/726421042223177728/XcNr9rza_normal.jpg
 
20
http://pbs.twimg.com/profile_images/1198161733/analitycbridge_normal.png
 
8
http://pbs.twimg.com/profile_images/378800000074463006/88c66064eedf00848c22485cf9465e96_normal.jpeg
 
7
Other values (583)
 
719
(Missing)
97639
Value Count Frequency (%)  
http://pbs.twimg.com/profile_images/726421042223177728/XcNr9rza_normal.jpg 20 0.0%
 
http://pbs.twimg.com/profile_images/1198161733/analitycbridge_normal.png 8 0.0%
 
http://pbs.twimg.com/profile_images/378800000074463006/88c66064eedf00848c22485cf9465e96_normal.jpeg 7 0.0%
 
http://pbs.twimg.com/profile_images/621549782759112704/SU7K19H__normal.png 7 0.0%
 
http://pbs.twimg.com/profile_images/705107002431660032/xk0QHcLw_normal.jpg 7 0.0%
 
http://pbs.twimg.com/profile_images/592336066167767040/NjGKEtLR_normal.png 7 0.0%
 
http://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg 7 0.0%
 
http://pbs.twimg.com/profile_images/720903526088589312/HYFkTf4Q_normal.jpg 6 0.0%
 
http://pbs.twimg.com/profile_images/570440108424171520/QuGYd7jH_normal.png 6 0.0%
 
http://pbs.twimg.com/profile_images/680246148762828801/flXTNSKT_normal.jpg 6 0.0%
 
http://pbs.twimg.com/profile_images/424495004/GuidoAvatar_normal.jpg 6 0.0%
 
http://pbs.twimg.com/profile_images/715680713073418240/36RwCsKt_normal.jpg 6 0.0%
 
http://pbs.twimg.com/profile_images/459258467258101760/CwfDmVyy_normal.png 5 0.0%
 
http://pbs.twimg.com/profile_images/710923156655984640/8Z95ugd__normal.jpg 5 0.0%
 
http://pbs.twimg.com/profile_images/2994096439/5113c1ba8e33ca2d6dd0da6d6d265d44_normal.jpeg 4 0.0%
 
http://pbs.twimg.com/profile_images/425528953302831104/k1qS0M6N_normal.png 4 0.0%
 
http://pbs.twimg.com/profile_images/519558322010062850/d5hcqWGt_normal.jpeg 4 0.0%
 
http://pbs.twimg.com/profile_images/725452455564218372/exJ9ziAR_normal.jpg 4 0.0%
 
http://pbs.twimg.com/profile_images/723543157896523783/xEpshVEN_normal.jpg 4 0.0%
 
http://pbs.twimg.com/profile_images/655452837757882368/ioLet7Dm_normal.jpg 4 0.0%
 
Other values (566) 627 0.6%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_image_url_https
Categorical

Distinct count 587
Unique (%) 77.9%
Missing (%) 99.2%
Missing (n) 97639
https://pbs.twimg.com/profile_images/726421042223177728/XcNr9rza_normal.jpg
 
20
https://pbs.twimg.com/profile_images/1198161733/analitycbridge_normal.png
 
8
https://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg
 
7
Other values (583)
 
719
(Missing)
97639
Value Count Frequency (%)  
https://pbs.twimg.com/profile_images/726421042223177728/XcNr9rza_normal.jpg 20 0.0%
 
https://pbs.twimg.com/profile_images/1198161733/analitycbridge_normal.png 8 0.0%
 
https://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg 7 0.0%
 
https://pbs.twimg.com/profile_images/621549782759112704/SU7K19H__normal.png 7 0.0%
 
https://pbs.twimg.com/profile_images/705107002431660032/xk0QHcLw_normal.jpg 7 0.0%
 
https://pbs.twimg.com/profile_images/378800000074463006/88c66064eedf00848c22485cf9465e96_normal.jpeg 7 0.0%
 
https://pbs.twimg.com/profile_images/592336066167767040/NjGKEtLR_normal.png 7 0.0%
 
https://pbs.twimg.com/profile_images/570440108424171520/QuGYd7jH_normal.png 6 0.0%
 
https://pbs.twimg.com/profile_images/720903526088589312/HYFkTf4Q_normal.jpg 6 0.0%
 
https://pbs.twimg.com/profile_images/424495004/GuidoAvatar_normal.jpg 6 0.0%
 
https://pbs.twimg.com/profile_images/680246148762828801/flXTNSKT_normal.jpg 6 0.0%
 
https://pbs.twimg.com/profile_images/715680713073418240/36RwCsKt_normal.jpg 6 0.0%
 
https://pbs.twimg.com/profile_images/710923156655984640/8Z95ugd__normal.jpg 5 0.0%
 
https://pbs.twimg.com/profile_images/459258467258101760/CwfDmVyy_normal.png 5 0.0%
 
https://pbs.twimg.com/profile_images/725452455564218372/exJ9ziAR_normal.jpg 4 0.0%
 
https://pbs.twimg.com/profile_images/723543157896523783/xEpshVEN_normal.jpg 4 0.0%
 
https://pbs.twimg.com/profile_images/2994096439/5113c1ba8e33ca2d6dd0da6d6d265d44_normal.jpeg 4 0.0%
 
https://pbs.twimg.com/profile_images/655452837757882368/ioLet7Dm_normal.jpg 4 0.0%
 
https://pbs.twimg.com/profile_images/519558322010062850/d5hcqWGt_normal.jpeg 4 0.0%
 
https://pbs.twimg.com/profile_images/425528953302831104/k1qS0M6N_normal.png 4 0.0%
 
Other values (566) 627 0.6%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_link_color
Categorical

Distinct count 196
Unique (%) 26.0%
Missing (%) 99.2%
Missing (n) 97639
0084B4
 
250
3B94D9
 
45
9266CC
 
33
Other values (192)
 
426
(Missing)
97639
Value Count Frequency (%)  
0084B4 250 0.3%
 
3B94D9 45 0.0%
 
9266CC 33 0.0%
 
009999 28 0.0%
 
2B7BB9 27 0.0%
 
2FC2EF 18 0.0%
 
000000 16 0.0%
 
0099B9 13 0.0%
 
1B95E0 13 0.0%
 
DD2E44 13 0.0%
 
ABB8C2 11 0.0%
 
4A913C 11 0.0%
 
080808 8 0.0%
 
0000FF 7 0.0%
 
89C9FA 7 0.0%
 
FF0000 7 0.0%
 
FF3300 6 0.0%
 
004899 6 0.0%
 
14BD7B 6 0.0%
 
94D487 6 0.0%
 
Other values (175) 223 0.2%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_sidebar_border_color
Categorical

Distinct count 45
Unique (%) 6.0%
Missing (%) 99.2%
Missing (n) 97639
C0DEED
 
227
000000
 
197
FFFFFF
 
159
Other values (41)
 
171
(Missing)
97639
Value Count Frequency (%)  
C0DEED 227 0.2%
 
000000 197 0.2%
 
FFFFFF 159 0.2%
 
EEEEEE 44 0.0%
 
181A1E 16 0.0%
 
BDDCAD 13 0.0%
 
A8C7F7 13 0.0%
 
829D5E 11 0.0%
 
5ED4DC 11 0.0%
 
87BC44 10 0.0%
 
86A4A6 7 0.0%
 
D9B17E 5 0.0%
 
D3D2CF 4 0.0%
 
DDDDDD 3 0.0%
 
65B0DA 3 0.0%
 
FDFFC4 2 0.0%
 
F2E195 2 0.0%
 
FFA200 1 0.0%
 
0B6900 1 0.0%
 
DADADA 1 0.0%
 
Other values (24) 24 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_sidebar_fill_color
Categorical

Distinct count 85
Unique (%) 11.3%
Missing (%) 99.2%
Missing (n) 97639
DDEEF6
 
314
000000
 
149
EFEFEF
 
60
Other values (81)
 
231
(Missing)
97639
Value Count Frequency (%)  
DDEEF6 314 0.3%
 
000000 149 0.2%
 
EFEFEF 60 0.1%
 
252429 33 0.0%
 
DDFFCC 17 0.0%
 
C0DFEC 14 0.0%
 
95E8EC 13 0.0%
 
E0FF92 13 0.0%
 
FFFFFF 10 0.0%
 
A0C5C7 9 0.0%
 
CAD9D8 8 0.0%
 
7AC3EE 8 0.0%
 
E3E2DE 6 0.0%
 
EADEAA 6 0.0%
 
FFF7CC 5 0.0%
 
F6F6F6 5 0.0%
 
99CC33 4 0.0%
 
EEEEEE 3 0.0%
 
E5507E 3 0.0%
 
C2FF66 2 0.0%
 
Other values (64) 72 0.1%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_text_color
Categorical

Distinct count 52
Unique (%) 6.9%
Missing (%) 99.2%
Missing (n) 97639
333333
 
435
000000
 
187
666666
 
35
Other values (48)
 
97
(Missing)
97639
Value Count Frequency (%)  
333333 435 0.4%
 
000000 187 0.2%
 
666666 35 0.0%
 
3C3940 15 0.0%
 
3E4415 12 0.0%
 
3D1957 7 0.0%
 
0C3E53 5 0.0%
 
634047 4 0.0%
 
474747 4 0.0%
 
444444 3 0.0%
 
362720 3 0.0%
 
977C61 2 0.0%
 
0ACC82 2 0.0%
 
663B12 2 0.0%
 
58514B 2 0.0%
 
EBE4EB 1 0.0%
 
615F61 1 0.0%
 
000408 1 0.0%
 
1F1F1F 1 0.0%
 
BDBDBD 1 0.0%
 
Other values (31) 31 0.0%
 
(Missing) 97639 99.2%
 

quoted_status_user_profile_use_background_image
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
True
 
560
False
 
194
(Missing)
97639
Value Count Frequency (%)  
True 560 0.6%
 
False 194 0.2%
 
(Missing) 97639 99.2%
 

quoted_status_user_protected
Categorical

Distinct count 2
Unique (%) 0.3%
Missing (%) 99.2%
Missing (n) 97639
False
 
754
(Missing)
97639
Value Count Frequency (%)  
False 754 0.8%
 
(Missing) 97639 99.2%
 

quoted_status_user_screen_name
Categorical

Distinct count 587
Unique (%) 77.9%
Missing (%) 99.2%
Missing (n) 97639
hoeroins
 
20
analyticbridge
 
8
alexadevs
 
7
Other values (583)
 
719
(Missing)
97639
Value Count Frequency (%)  
hoeroins 20 0.0%
 
analyticbridge 8 0.0%
 
alexadevs 7 0.0%
 
IT_ServicesTalk 7 0.0%
 
jms_dot_py 7 0.0%
 
TomAugspurger 7 0.0%
 
randal_olson 7 0.0%
 
ndtv 6 0.0%
 
unicodeveloper 6 0.0%
 
gvanrossum 6 0.0%
 
KirkDBorne 6 0.0%
 
ThePracticalDev 6 0.0%
 
SciPyTip 5 0.0%
 
alobbs 5 0.0%
 
mdekstrand 4 0.0%
 
smhayg 4 0.0%
 
wesmckinn 4 0.0%
 
kdnuggets 4 0.0%
 
TeezeeDRB 4 0.0%
 
CoolestLifeHack 4 0.0%
 
Other values (566) 627 0.6%
 
(Missing) 97639 99.2%
 

quoted_status_user_statuses_count
Numeric

Distinct count 602
Unique (%) 79.8%
Missing (%) 99.2%
Missing (n) 97639
Mean 25135
Minimum 4
Maximum 354750
Zeros (%) 0.0%

Quantile statistics

Minimum 4
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 354750
Range 354740
Interquartile range

Descriptive statistics

Standard deviation 49857
Coef of variation 1.9836
Kurtosis 16.351
Mean 25135
MAD 29673
Skewness 3.7092
Sum 18952000
Variance 2485800000
Memory size 768.8 KiB

quoted_status_user_time_zone
Categorical

Distinct count 61
Unique (%) 9.8%
Missing (%) 99.4%
Missing (n) 97770
Pacific Time (US & Canada)
 
167
Eastern Time (US & Canada)
 
125
London
 
62
Other values (57)
 
269
(Missing)
97770
Value Count Frequency (%)  
Pacific Time (US & Canada) 167 0.2%
 
Eastern Time (US & Canada) 125 0.1%
 
London 62 0.1%
 
Central Time (US & Canada) 35 0.0%
 
Darwin 23 0.0%
 
Amsterdam 20 0.0%
 
New Delhi 19 0.0%
 
Mountain Time (US & Canada) 17 0.0%
 
Madrid 13 0.0%
 
Hawaii 10 0.0%
 
Atlantic Time (Canada) 9 0.0%
 
Arizona 8 0.0%
 
Berlin 7 0.0%
 
Sydney 7 0.0%
 
Quito 6 0.0%
 
Paris 5 0.0%
 
Alaska 5 0.0%
 
Athens 5 0.0%
 
Brasilia 4 0.0%
 
Jerusalem 4 0.0%
 
Other values (40) 72 0.1%
 
(Missing) 97770 99.4%
 

quoted_status_user_url
Categorical

Distinct count 433
Unique (%) 75.4%
Missing (%) 99.4%
Missing (n) 97819
http://t.co/43tj0Ez1jT
 
8
http://t.co/h5mIushJhB
 
7
https://t.co/kfeNXk1ZvC
 
7
Other values (429)
 
552
(Missing)
97819
Value Count Frequency (%)  
http://t.co/43tj0Ez1jT 8 0.0%
 
http://t.co/h5mIushJhB 7 0.0%
 
https://t.co/kfeNXk1ZvC 7 0.0%
 
https://t.co/tpzAYxx9cq 7 0.0%
 
http://t.co/XRCViJsjmi 7 0.0%
 
https://t.co/UBss2WoE0c 7 0.0%
 
http://t.co/jujQDNMiBP 6 0.0%
 
http://t.co/Z4M89fs6mB 6 0.0%
 
https://t.co/tWlmeuTlR7 6 0.0%
 
https://t.co/YrHZxRzBPT 6 0.0%
 
https://t.co/lhcCPP1ReQ 6 0.0%
 
https://t.co/vtMHCfZpoO 5 0.0%
 
http://t.co/QqJhW1XwJF 5 0.0%
 
http://t.co/aWUY84onbG 4 0.0%
 
http://t.co/Sn7I2XUnjf 4 0.0%
 
https://t.co/Jk2xlYsQJr 4 0.0%
 
https://t.co/VvIeqSfR6L 4 0.0%
 
http://t.co/nPiNwcE5ry 4 0.0%
 
https://t.co/qJQDLJwSjr 4 0.0%
 
https://t.co/Q7wF918Ot4 3 0.0%
 
Other values (412) 464 0.5%
 
(Missing) 97819 99.4%
 

quoted_status_user_utc_offset
Numeric

Distinct count 22
Unique (%) 3.5%
Missing (%) 99.4%
Missing (n) 97770
Mean -8774.6
Minimum -39600
Maximum 43200
Zeros (%) 0.0%

Quantile statistics

Minimum -39600
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 43200
Range 82800
Interquartile range

Descriptive statistics

Standard deviation 17871
Coef of variation -2.0367
Kurtosis -0.041128
Mean -8774.6
MAD 15168
Skewness 0.8906
Sum -5466600
Variance 319390000
Memory size 768.8 KiB

quoted_status_user_verified
Categorical

Distinct count 3
Unique (%) 0.4%
Missing (%) 99.2%
Missing (n) 97639
False
 
661
True
 
93
(Missing)
97639
Value Count Frequency (%)  
False 661 0.7%
 
True 93 0.1%
 
(Missing) 97639 99.2%
 

retweet_count
Numeric

Distinct count 470
Unique (%) 0.5%
Missing (%) 0.0%
Missing (n) 0
Mean 56.845
Minimum 0
Maximum 166650
Zeros (%) 49.4%

Quantile statistics

Minimum 0
5-th percentile 0
Q1 0
Median 1
Q3 4
95-th percentile 104
Maximum 166650
Range 166650
Interquartile range 4

Descriptive statistics

Standard deviation 965.51
Coef of variation 16.985
Kurtosis 14119
Mean 56.845
MAD 98.937
Skewness 101.75
Sum 5593100
Variance 932210
Memory size 768.8 KiB

retweeted
Constant

This variable is constant and should be ignored for analysis

Constant value False

retweeted_status_created_at
Categorical

Distinct count 11461
Unique (%) 33.2%
Missing (%) 64.9%
Missing (n) 63829
Tue Apr 26 00:43:42 +0000 2016
 
944
Tue Apr 26 00:46:25 +0000 2016
 
865
Fri Apr 22 16:05:16 +0000 2016
 
308
Other values (11457)
32447
(Missing)
63829
Value Count Frequency (%)  
Tue Apr 26 00:43:42 +0000 2016 944 1.0%
 
Tue Apr 26 00:46:25 +0000 2016 865 0.9%
 
Fri Apr 22 16:05:16 +0000 2016 308 0.3%
 
Sat Apr 16 13:10:09 +0000 2016 290 0.3%
 
Sat Apr 30 22:50:40 +0000 2016 263 0.3%
 
Fri Apr 15 02:11:02 +0000 2016 220 0.2%
 
Fri Apr 22 18:50:23 +0000 2016 171 0.2%
 
Sun Apr 24 18:24:09 +0000 2016 150 0.2%
 
Mon May 02 22:16:57 +0000 2016 145 0.1%
 
Tue Apr 26 15:45:27 +0000 2016 139 0.1%
 
Sun Apr 17 22:00:47 +0000 2016 133 0.1%
 
Thu Apr 28 13:23:51 +0000 2016 125 0.1%
 
Sat Apr 30 02:01:04 +0000 2016 116 0.1%
 
Mon Apr 18 04:50:29 +0000 2016 111 0.1%
 
Sat Apr 23 15:42:06 +0000 2016 105 0.1%
 
Mon Apr 25 14:25:34 +0000 2016 97 0.1%
 
Tue Apr 19 14:39:05 +0000 2016 96 0.1%
 
Sun May 01 05:30:02 +0000 2016 95 0.1%
 
Sat Apr 23 21:50:15 +0000 2016 93 0.1%
 
Sun May 01 17:08:16 +0000 2016 92 0.1%
 
Other values (11440) 30006 30.5%
 
(Missing) 63829 64.9%
 

retweeted_status_entities_hashtags
Categorical

Distinct count 4833
Unique (%) 14.0%
Missing (%) 64.9%
Missing (n) 63876
[]
15190
[{u'indices': [0, 7], u'text': u'python'}]
 
364
[{u'indices': [89, 103], u'text': u'CallOfTheWild'}, {u'indices': [104, 116], u'text': u'SaveTheWild'}]
 
308
Other values (4829)
18655
(Missing)
63876
Value Count Frequency (%)  
[] 15190 15.4%
 
[{u'indices': [0, 7], u'text': u'python'}] 364 0.4%
 
[{u'indices': [89, 103], u'text': u'CallOfTheWild'}, {u'indices': [104, 116], u'text': u'SaveTheWild'}] 308 0.3%
 
[{u'indices': [0, 7], u'text': u'Google'}, {u'indices': [26, 33], u'text': u'Python'}, {u'indices': [34, 50], u'text': u'MachineLearning'}, {u'indices': [70, 78], u'text': u'sklearn'}] 290 0.3%
 
[{u'indices': [5, 9], u'text': u'TWD'}, {u'indices': [99, 114], u'text': u'TheWalkingDead'}] 263 0.3%
 
[{u'indices': [31, 38], u'text': u'Python'}] 177 0.2%
 
[{u'indices': [4, 20], u'text': u'MachineLearning'}, {u'indices': [26, 33], u'text': u'Python'}, {u'indices': [83, 89], u'text': u'abdsc'}, {u'indices': [90, 98], u'text': u'BigData'}, {u'indices': [99, 111], u'text': u'DataScience'}] 148 0.2%
 
[{u'indices': [40, 47], u'text': u'DevOps'}, {u'indices': [48, 52], u'text': u'IoT'}, {u'indices': [53, 67], u'text': u'Microservices'}, {u'indices': [92, 98], u'text': u'Cloud'}] 145 0.1%
 
[{u'indices': [0, 7], u'text': u'Python'}] 120 0.1%
 
[{u'indices': [0, 7], u'text': u'Python'}, {u'indices': [31, 43], u'text': u'programming'}] 100 0.1%
 
[{u'indices': [11, 18], u'text': u'Python'}, {u'indices': [33, 45], u'text': u'programming'}] 99 0.1%
 
[{u'indices': [80, 86], u'text': u'Opera'}, {u'indices': [87, 91], u'text': u'VPN'}] 97 0.1%
 
[{u'indices': [8, 22], u'text': u'coloroftheday'}, {u'indices': [41, 55], u'text': u'TravelTuesday'}] 96 0.1%
 
[{u'indices': [47, 63], u'text': u'Electricity4All'}] 95 0.1%
 
[{u'indices': [33, 45], u'text': u'DataScience'}] 94 0.1%
 
[{u'indices': [22, 29], u'text': u'Python'}, {u'indices': [30, 41], u'text': u'Psychology'}] 92 0.1%
 
[{u'indices': [85, 101], u'text': u'MachineLearning'}, {u'indices': [102, 114], u'text': u'DataScience'}] 90 0.1%
 
[{u'indices': [97, 100], u'text': u'ai'}] 87 0.1%
 
[{u'indices': [7, 19], u'text': u'programming'}, {u'indices': [44, 51], u'text': u'Python'}] 84 0.1%
 
[{u'indices': [0, 7], u'text': u'python'}, {u'indices': [72, 75], u'text': u'IT'}, {u'indices': [76, 87], u'text': u'Developers'}] 82 0.1%
 
Other values (4812) 16496 16.8%
 
(Missing) 63876 64.9%
 

retweeted_status_entities_media
Categorical

Distinct count 3617
Unique (%) 27.2%
Missing (%) 86.5%
Missing (n) 85101
[{u'expanded_url': u'http://twitter.com/Delilah_Alvares/status/723543199315300352/photo/1', u'display_url': u'pic.twitter.com/uMhFFIHrbo', u'url': u'https://t.co/uMhFFIHrbo', u'media_url_https': u'https://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg', u'id_str': u'723543173012852738', u'sizes': {u'small': {u'h': 512, u'resize': u'fit', u'w': 340}, u'large': {u'h': 960, u'resize': u'fit', u'w': 638}, u'medium': {u'h': 903, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [117, 140], u'type': u'photo', u'id': 723543173012852738, u'media_url': u'http://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg'}]
 
308
[{u'expanded_url': u'http://twitter.com/FTWDFans/status/726544327824957440/photo/1', u'display_url': u'pic.twitter.com/RyxstTwr5I', u'url': u'https://t.co/RyxstTwr5I', u'media_url_https': u'https://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg', u'id_str': u'726544294333411328', u'sizes': {u'small': {u'h': 434, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 1307, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 766, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [115, 138], u'type': u'photo', u'id': 726544294333411328, u'media_url': u'http://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg'}]
 
263
[{u'expanded_url': u'http://twitter.com/randal_olson/status/721324803207131136/photo/1', u'display_url': u'pic.twitter.com/aoMntyJudr', u'url': u'https://t.co/aoMntyJudr', u'media_url_https': u'https://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg', u'id_str': u'721324799939579905', u'sizes': {u'large': {u'h': 515, u'resize': u'fit', u'w': 1024}, u'small': {u'h': 171, u'resize': u'fit', u'w': 340}, u'medium': {u'h': 302, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [104, 127], u'type': u'photo', u'id': 721324799939579905, u'media_url': u'http://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg'}]
 
239
Other values (3613)
 
12482
(Missing)
85101
Value Count Frequency (%)  
[{u'expanded_url': u'http://twitter.com/Delilah_Alvares/status/723543199315300352/photo/1', u'display_url': u'pic.twitter.com/uMhFFIHrbo', u'url': u'https://t.co/uMhFFIHrbo', u'media_url_https': u'https://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg', u'id_str': u'723543173012852738', u'sizes': {u'small': {u'h': 512, u'resize': u'fit', u'w': 340}, u'large': {u'h': 960, u'resize': u'fit', u'w': 638}, u'medium': {u'h': 903, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [117, 140], u'type': u'photo', u'id': 723543173012852738, u'media_url': u'http://pbs.twimg.com/media/CgqKrq8XEAI0ZPo.jpg'}] 308 0.3%
 
[{u'expanded_url': u'http://twitter.com/FTWDFans/status/726544327824957440/photo/1', u'display_url': u'pic.twitter.com/RyxstTwr5I', u'url': u'https://t.co/RyxstTwr5I', u'media_url_https': u'https://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg', u'id_str': u'726544294333411328', u'sizes': {u'small': {u'h': 434, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 1307, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 766, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [115, 138], u'type': u'photo', u'id': 726544294333411328, u'media_url': u'http://pbs.twimg.com/media/ChU0L7FUcAAwfgD.jpg'}] 263 0.3%
 
[{u'expanded_url': u'http://twitter.com/randal_olson/status/721324803207131136/photo/1', u'display_url': u'pic.twitter.com/aoMntyJudr', u'url': u'https://t.co/aoMntyJudr', u'media_url_https': u'https://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg', u'id_str': u'721324799939579905', u'sizes': {u'large': {u'h': 515, u'resize': u'fit', u'w': 1024}, u'small': {u'h': 171, u'resize': u'fit', u'w': 340}, u'medium': {u'h': 302, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [104, 127], u'type': u'photo', u'id': 721324799939579905, u'media_url': u'http://pbs.twimg.com/media/CgKpFXQUEAEk-d6.jpg'}] 239 0.2%
 
[{u'expanded_url': u'http://twitter.com/SneakerPics23/status/724302929285505026/photo/1', u'display_url': u'pic.twitter.com/qpdP0DUKAu', u'url': u'https://t.co/qpdP0DUKAu', u'media_url_https': u'https://pbs.twimg.com/media/Cg09p_JUUAEu3vh.jpg', u'id_str': u'724302906610962433', u'sizes': {u'small': {u'h': 323, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 713, u'w': 750, u'resize': u'fit'}, u'medium': {u'h': 570, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [31, 54], u'type': u'photo', u'id': 724302906610962433, u'media_url': u'http://pbs.twimg.com/media/Cg09p_JUUAEu3vh.jpg'}] 150 0.2%
 
[{u'expanded_url': u'http://twitter.com/randal_olson/status/723584753597878272/photo/1', u'display_url': u'pic.twitter.com/sYkjvn7hzu', u'url': u'https://t.co/sYkjvn7hzu', u'media_url_https': u'https://pbs.twimg.com/media/Cgqwf7uW0AIvENf.jpg', u'id_str': u'723584752800944130', u'sizes': {u'small': {u'h': 113, u'resize': u'fit', u'w': 340}, u'large': {u'h': 340, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 199, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [115, 138], u'type': u'photo', u'id': 723584752800944130, u'media_url': u'http://pbs.twimg.com/media/Cgqwf7uW0AIvENf.jpg'}] 146 0.1%
 
[{u'expanded_url': u'http://twitter.com/fashionkiIIas/status/724987767000801280/photo/1', u'display_url': u'pic.twitter.com/bmzH4MVi94', u'url': u'https://t.co/bmzH4MVi94', u'media_url_https': u'https://pbs.twimg.com/media/Cg-sh87WgAEPoHS.jpg', u'id_str': u'724987764320665601', u'sizes': {u'small': {u'h': 254, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 560, u'w': 750, u'resize': u'fit'}, u'medium': {u'h': 448, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [50, 73], u'type': u'photo', u'id': 724987764320665601, u'media_url': u'http://pbs.twimg.com/media/Cg-sh87WgAEPoHS.jpg'}] 139 0.1%
 
[{u'source_user_id': 2892560250, u'source_status_id_str': u'653947766473949184', u'expanded_url': u'http://twitter.com/BigAssAddicted/status/653947766473949184/video/1', u'sizes': {u'small': {u'h': 187, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 396, u'w': 720, u'resize': u'fit'}, u'medium': {u'h': 330, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/jbLCwPRmqI', u'media_url_https': u'https://pbs.twimg.com/ext_tw_video_thumb/653947265200033792/pu/img/WZ19nUbaGWtnsW93.jpg', u'source_user_id_str': u'2892560250', u'source_status_id': 653947766473949184, u'display_url': u'pic.twitter.com/jbLCwPRmqI', u'id_str': u'653947265200033792', u'indices': [28, 51], u'type': u'photo', u'id': 653947265200033792, u'media_url': u'http://pbs.twimg.com/ext_tw_video_thumb/653947265200033792/pu/img/WZ19nUbaGWtnsW93.jpg'}] 116 0.1%
 
[{u'expanded_url': u'http://twitter.com/spazef0rze/status/724605272560377856/photo/1', u'display_url': u'pic.twitter.com/y8YXIvM57S', u'url': u'https://t.co/y8YXIvM57S', u'media_url_https': u'https://pbs.twimg.com/media/Cg5QbymU0AEv7V0.jpg', u'id_str': u'724605028422438913', u'sizes': {u'small': {u'h': 255, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 375, u'w': 500, u'resize': u'fit'}, u'medium': {u'h': 375, u'w': 500, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [116, 139], u'type': u'photo', u'id': 724605028422438913, u'media_url': u'http://pbs.twimg.com/media/Cg5QbymU0AEv7V0.jpg'}] 97 0.1%
 
[{u'expanded_url': u'http://twitter.com/UN/status/726644827769593858/photo/1', u'display_url': u'pic.twitter.com/Tn9trH2Nih', u'url': u'https://t.co/Tn9trH2Nih', u'media_url_https': u'https://pbs.twimg.com/media/Cg0B8UwUYAE5Cw4.jpg', u'id_str': u'724237250951667713', u'sizes': {u'small': {u'h': 170, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 220, u'w': 440, u'resize': u'fit'}, u'medium': {u'h': 220, u'w': 440, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [117, 140], u'type': u'photo', u'id': 724237250951667713, u'media_url': u'http://pbs.twimg.com/media/Cg0B8UwUYAE5Cw4.jpg'}] 95 0.1%
 
[{u'expanded_url': u'http://twitter.com/500px/status/722434350298591232/photo/1', u'display_url': u'pic.twitter.com/BjAO7UXyj2', u'url': u'https://t.co/BjAO7UXyj2', u'media_url_https': u'https://pbs.twimg.com/media/CgaaNm6UMAEYpkq.jpg', u'id_str': u'722434348813660161', u'sizes': {u'large': {u'h': 628, u'resize': u'fit', u'w': 900}, u'small': {u'h': 237, u'resize': u'fit', u'w': 340}, u'medium': {u'h': 419, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [112, 135], u'type': u'photo', u'id': 722434348813660161, u'media_url': u'http://pbs.twimg.com/media/CgaaNm6UMAEYpkq.jpg'}] 94 0.1%
 
[{u'expanded_url': u'http://twitter.com/KirkDBorne/status/725455009626886144/photo/1', u'display_url': u'pic.twitter.com/TK8DqOw04E', u'url': u'https://t.co/TK8DqOw04E', u'media_url_https': u'https://pbs.twimg.com/media/ChFVfIqU0AEsnTl.png', u'id_str': u'725455008372674561', u'sizes': {u'small': {u'h': 189, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 568, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 333, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [112, 135], u'type': u'photo', u'id': 725455008372674561, u'media_url': u'http://pbs.twimg.com/media/ChFVfIqU0AEsnTl.png'}] 89 0.1%
 
[{u'expanded_url': u'http://twitter.com/randal_olson/status/726798373639077888/photo/1', u'display_url': u'pic.twitter.com/IO7RTTiqWB', u'url': u'https://t.co/IO7RTTiqWB', u'media_url_https': u'https://pbs.twimg.com/media/ChYbRQ0WUAA5E0U.png', u'id_str': u'726798373253173248', u'sizes': {u'small': {u'h': 469, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 577, u'w': 418, u'resize': u'fit'}, u'medium': {u'h': 577, u'w': 418, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [90, 113], u'type': u'photo', u'id': 726798373253173248, u'media_url': u'http://pbs.twimg.com/media/ChYbRQ0WUAA5E0U.png'}] 84 0.1%
 
[{u'expanded_url': u'http://twitter.com/preregrintook/status/726953811953094656/photo/1', u'display_url': u'pic.twitter.com/7q8Brq9igj', u'url': u'https://t.co/7q8Brq9igj', u'media_url_https': u'https://pbs.twimg.com/media/ChaooqTVEAABD8N.jpg', u'id_str': u'726953806370508800', u'sizes': {u'small': {u'h': 414, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 1248, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 731, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [114, 137], u'type': u'photo', u'id': 726953806370508800, u'media_url': u'http://pbs.twimg.com/media/ChaooqTVEAABD8N.jpg'}] 78 0.1%
 
[{u'expanded_url': u'http://twitter.com/mwrlabs/status/722397141499539456/photo/1', u'display_url': u'pic.twitter.com/8pcxzepzJX', u'url': u'https://t.co/8pcxzepzJX', u'media_url_https': u'https://pbs.twimg.com/media/CgZ4XzlWsAA_jBi.jpg', u'id_str': u'722397140618752000', u'sizes': {u'small': {u'h': 57, u'resize': u'fit', u'w': 340}, u'large': {u'h': 101, u'resize': u'fit', u'w': 600}, u'medium': {u'h': 101, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 101, u'resize': u'crop', u'w': 101}}, u'indices': [104, 127], u'type': u'photo', u'id': 722397140618752000, u'media_url': u'http://pbs.twimg.com/media/CgZ4XzlWsAA_jBi.jpg'}] 74 0.1%
 
[{u'expanded_url': u'http://twitter.com/Ronald_vanLoon/status/724481351701921792/photo/1', u'display_url': u'pic.twitter.com/ZQ0lvCJvlZ', u'url': u'https://t.co/ZQ0lvCJvlZ', u'media_url_https': u'https://pbs.twimg.com/media/Cg3f8ynWkAAuQ_m.jpg', u'id_str': u'724481350548492288', u'sizes': {u'small': {u'h': 276, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 831, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 487, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [117, 140], u'type': u'photo', u'id': 724481350548492288, u'media_url': u'http://pbs.twimg.com/media/Cg3f8ynWkAAuQ_m.jpg'}] 70 0.1%
 
[{u'expanded_url': u'http://twitter.com/UN/status/724675621318578177/photo/1', u'display_url': u'pic.twitter.com/ARQDomg4GO', u'url': u'https://t.co/ARQDomg4GO', u'media_url_https': u'https://pbs.twimg.com/media/Cg0BjMLU4AUZT3_.jpg', u'id_str': u'724236819152297989', u'sizes': {u'small': {u'h': 170, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 220, u'w': 440, u'resize': u'fit'}, u'medium': {u'h': 220, u'w': 440, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [117, 140], u'type': u'photo', u'id': 724236819152297989, u'media_url': u'http://pbs.twimg.com/media/Cg0BjMLU4AUZT3_.jpg'}] 69 0.1%
 
[{u'expanded_url': u'http://twitter.com/RickKing16/status/724118258232754176/photo/1', u'sizes': {u'small': {u'h': 190, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 280, u'w': 500, u'resize': u'fit'}, u'medium': {u'h': 280, u'w': 500, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/hYIdiAMTrD', u'media_url_https': u'https://pbs.twimg.com/media/CgyVuBUWsAAErbP.jpg', u'display_url': u'pic.twitter.com/hYIdiAMTrD', u'id_str': u'724118257960136704', u'indices': [101, 124], u'type': u'photo', u'id': 724118257960136704, u'media_url': u'http://pbs.twimg.com/media/CgyVuBUWsAAErbP.jpg'}] 67 0.1%
 
[{u'expanded_url': u'http://twitter.com/KyleHanslovan/status/726407560874582018/photo/1', u'display_url': u'pic.twitter.com/u1mj8MwTR8', u'url': u'https://t.co/u1mj8MwTR8', u'media_url_https': u'https://pbs.twimg.com/media/ChS3ymUWUAAmdt2.jpg', u'id_str': u'726407519820730368', u'sizes': {u'small': {u'h': 142, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 246, u'w': 591, u'resize': u'fit'}, u'medium': {u'h': 246, u'w': 591, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [103, 126], u'type': u'photo', u'id': 726407519820730368, u'media_url': u'http://pbs.twimg.com/media/ChS3ymUWUAAmdt2.jpg'}] 67 0.1%
 
[{u'expanded_url': u'http://twitter.com/analyticbridge/status/723208994769096706/photo/1', u'display_url': u'pic.twitter.com/wbI1IzvEdZ', u'url': u'https://t.co/wbI1IzvEdZ', u'media_url_https': u'https://pbs.twimg.com/media/Cglav58U4AAz10D.jpg', u'id_str': u'723208994223874048', u'sizes': {u'small': {u'h': 176, u'resize': u'fit', u'w': 340}, u'large': {u'h': 254, u'resize': u'fit', u'w': 490}, u'medium': {u'h': 254, u'resize': u'fit', u'w': 490}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'indices': [70, 93], u'type': u'photo', u'id': 723208994223874048, u'media_url': u'http://pbs.twimg.com/media/Cglav58U4AAz10D.jpg'}] 63 0.1%
 
[{u'expanded_url': u'http://twitter.com/kdnuggets/status/726051946973507584/photo/1', u'display_url': u'pic.twitter.com/JUe30cDjoI', u'url': u'https://t.co/JUe30cDjoI', u'media_url_https': u'https://pbs.twimg.com/media/ChN0ZhJW0AA1qc_.jpg', u'id_str': u'726051946679947264', u'sizes': {u'small': {u'h': 343, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 408, u'w': 404, u'resize': u'fit'}, u'medium': {u'h': 408, u'w': 404, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [94, 117], u'type': u'photo', u'id': 726051946679947264, u'media_url': u'http://pbs.twimg.com/media/ChN0ZhJW0AA1qc_.jpg'}] 61 0.1%
 
Other values (3596) 10923 11.1%
 
(Missing) 85101 86.5%
 

retweeted_status_entities_symbols
Categorical

Distinct count 5
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
[]
34561
[{u'indices': [88, 92], u'text': u'SPY'}]
 
1
[{u'indices': [0, 4], u'text': u'USD'}]
 
1
(Missing)
63829
Value Count Frequency (%)  
[] 34561 35.1%
 
[{u'indices': [88, 92], u'text': u'SPY'}] 1 0.0%
 
[{u'indices': [0, 4], u'text': u'USD'}] 1 0.0%
 
[{u'indices': [118, 120], u'text': u's'}] 1 0.0%
 
(Missing) 63829 64.9%
 

retweeted_status_entities_urls
Categorical

Distinct count 7892
Unique (%) 22.8%
Missing (%) 64.9%
Missing (n) 63829
[]
 
8864
[{u'url': u'https://t.co/QhYq3PcuZy', u'indices': [116, 139], u'expanded_url': u'https://twitter.com/ndtv/status/724601469408796673', u'display_url': u'twitter.com/ndtv/status/72\xe2\x80\xa6'}]
 
944
[{u'url': u'https://t.co/WDFEUdyrbS', u'indices': [80, 103], u'expanded_url': u'https://www.youtube.com/watch?v=cKxRvEZd3Mw', u'display_url': u'youtube.com/watch?v=cKxRvE\xe2\x80\xa6'}]
 
254
Other values (7888)
24502
(Missing)
63829
Value Count Frequency (%)  
[] 8864 9.0%
 
[{u'url': u'https://t.co/QhYq3PcuZy', u'indices': [116, 139], u'expanded_url': u'https://twitter.com/ndtv/status/724601469408796673', u'display_url': u'twitter.com/ndtv/status/72\xe2\x80\xa6'}] 944 1.0%
 
[{u'url': u'https://t.co/WDFEUdyrbS', u'indices': [80, 103], u'expanded_url': u'https://www.youtube.com/watch?v=cKxRvEZd3Mw', u'display_url': u'youtube.com/watch?v=cKxRvE\xe2\x80\xa6'}] 254 0.3%
 
[{u'indices': [91, 114], u'url': u'https://t.co/0dEyFM6sVd', u'expanded_url': u'http://www.ubuntu.com/desktop/developers', u'display_url': u'ubuntu.com/desktop/develo\xe2\x80\xa6'}] 146 0.1%
 
[{u'url': u'https://t.co/99ttVa37RC', u'indices': [68, 91], u'expanded_url': u'http://bit.ly/1rrY3i3', u'display_url': u'bit.ly/1rrY3i3'}] 145 0.1%
 
[{u'url': u'https://t.co/m4576sRH5a', u'indices': [71, 94], u'expanded_url': u'http://youtu.be/ys8fyr_hxws?a', u'display_url': u'youtu.be/ys8fyr_hxws?a'}] 129 0.1%
 
[{u'url': u'https://t.co/hOdcRLTG0k', u'indices': [59, 82], u'expanded_url': u'http://bit.ly/1NUIT9t', u'display_url': u'bit.ly/1NUIT9t'}] 126 0.1%
 
[{u'url': u'https://t.co/5mCv2YPZPT', u'indices': [81, 104], u'expanded_url': u'http://www.analyticbridge.com/profiles/blogs/machine-learning-with-python-why-do-they-form-the-best', u'display_url': u'analyticbridge.com/profiles/blogs\xe2\x80\xa6'}, {u'url': u'https://t.co/AeaCnTTV7M', u'indices': [115, 138], u'expanded_url': u'http://tweetedtimes.com/craigbrownphd?s=tnp', u'display_url': u'tweetedtimes.com/craigbrownphd?\xe2\x80\xa6'}] 125 0.1%
 
[{u'url': u'https://t.co/qhwzvuhl1t', u'indices': [98, 121], u'expanded_url': u'http://tinyurl.com/gr89wcl', u'display_url': u'tinyurl.com/gr89wcl'}] 107 0.1%
 
[{u'url': u'https://t.co/Xe205pWGuq', u'indices': [24, 47], u'expanded_url': u'http://bit.ly/20gNQir', u'display_url': u'bit.ly/20gNQir'}] 97 0.1%
 
[{u'url': u'https://t.co/1kG77yMvJ2', u'indices': [92, 115], u'expanded_url': u'https://github.com/spaze/oprah-proxy', u'display_url': u'github.com/spaze/oprah-pr\xe2\x80\xa6'}] 97 0.1%
 
[{u'url': u'https://t.co/TLsTPzBGel', u'indices': [74, 97], u'expanded_url': u'http://bit.ly/electricity4all', u'display_url': u'bit.ly/electricity4all'}] 95 0.1%
 
[{u'url': u'https://t.co/i019MUteJw', u'indices': [93, 116], u'expanded_url': u'http://bit.ly/1U9mRni', u'display_url': u'bit.ly/1U9mRni'}] 93 0.1%
 
[{u'url': u'https://t.co/lVK5ggmUG4', u'indices': [37, 60], u'expanded_url': u'http://bit.ly/1UUgu9Q', u'display_url': u'bit.ly/1UUgu9Q'}] 92 0.1%
 
[{u'url': u'https://t.co/afz3mNeaif', u'indices': [42, 65], u'expanded_url': u'https://psychopyrate.tumblr.com/post/143670852984/some-of-my-favorite-sites', u'display_url': u'psychopyrate.tumblr.com/post/143670852\xe2\x80\xa6'}] 92 0.1%
 
[{u'indices': [71, 94], u'url': u'https://t.co/m4576sRH5a', u'expanded_url': u'http://youtu.be/ys8fyr_hxws?a', u'display_url': u'youtu.be/ys8fyr_hxws?a'}] 91 0.1%
 
[{u'url': u'https://t.co/mO4MqPAzTX', u'indices': [88, 111], u'expanded_url': u'https://goo.gl/mbRBdI', u'display_url': u'goo.gl/mbRBdI'}] 90 0.1%
 
[{u'url': u'https://t.co/rXlDQJBdmz', u'indices': [61, 84], u'expanded_url': u'http://bit.ly/22h94TK', u'display_url': u'bit.ly/22h94TK'}] 88 0.1%
 
[{u'url': u'https://t.co/elmV7H8Hm8', u'indices': [66, 89], u'expanded_url': u'https://blog.ionelmc.ro/2015/02/09/understanding-python-metaclasses/', u'display_url': u'blog.ionelmc.ro/2015/02/09/und\xe2\x80\xa6'}] 84 0.1%
 
[{u'url': u'https://t.co/F9WgHsGkgm', u'indices': [98, 121], u'expanded_url': u'http://bit.ly/HBHacking', u'display_url': u'bit.ly/HBHacking'}] 84 0.1%
 
Other values (7871) 22721 23.1%
 
(Missing) 63829 64.9%
 

retweeted_status_entities_user_mentions
Categorical

Distinct count 2882
Unique (%) 8.4%
Missing (%) 65.2%
Missing (n) 64135
[]
26814
[{u'indices': [102, 116], u'id': 3273261744, u'id_str': u'3273261744', u'name': u'Unite Ideas', u'screen_name': u'UN_UniteIdeas'}]
 
95
[{u'indices': [27, 40], u'id': 18903165, u'id_str': u'18903165', u'name': u'DevOps Summit', u'screen_name': u'DevOpsSummit'}]
 
88
Other values (2878)
 
7261
(Missing)
64135
Value Count Frequency (%)  
[] 26814 27.3%
 
[{u'indices': [102, 116], u'id': 3273261744, u'id_str': u'3273261744', u'name': u'Unite Ideas', u'screen_name': u'UN_UniteIdeas'}] 95 0.1%
 
[{u'indices': [27, 40], u'id': 18903165, u'id_str': u'18903165', u'name': u'DevOps Summit', u'screen_name': u'DevOpsSummit'}] 88 0.1%
 
[{u'indices': [14, 22], u'screen_name': u'_samdb_', u'id': 285147437, u'name': u'Sam Brown', u'id_str': u'285147437'}] 73 0.1%
 
[{u'indices': [63, 69], u'id': 865622395, u'id_str': u'865622395', u'name': u'Sebastian Raschka', u'screen_name': u'rasbt'}] 71 0.1%
 
[{u'indices': [78, 92], u'id': 3273261744, u'id_str': u'3273261744', u'name': u'Unite Ideas', u'screen_name': u'UN_UniteIdeas'}] 69 0.1%
 
[{u'indices': [50, 62], u'id_str': u'2915491332', u'screen_name': u'ByondTravel', u'name': u'Byond Travel', u'id': 2915491332}] 65 0.1%
 
[{u'indices': [27, 38], u'id': 20572070, u'id_str': u'20572070', u'name': u'Jacob Ferrato', u'screen_name': u'JBFcustoms'}] 55 0.1%
 
[{u'indices': [27, 36], u'id': 1568606814, u'id_str': u'1568606814', u'name': u'DataCamp', u'screen_name': u'DataCamp'}] 50 0.1%
 
[{u'indices': [1, 17], u'id': 20348431, u'id_str': u'20348431', u'name': u'adidas Originals', u'screen_name': u'adidasoriginals'}] 43 0.0%
 
[{u'indices': [64, 70], u'screen_name': u'udemy', u'id': 70266297, u'name': u'Udemy', u'id_str': u'70266297'}] 42 0.0%
 
[{u'indices': [82, 88], u'screen_name': u'rasbt', u'id': 865622395, u'name': u'Sebastian Raschka', u'id_str': u'865622395'}] 40 0.0%
 
[{u'indices': [58, 71], u'screen_name': u'videoboyblog', u'id': 29581654, u'name': u'DawgPoundUSA', u'id_str': u'29581654'}] 38 0.0%
 
[{u'indices': [26, 33], u'screen_name': u'docker', u'id': 1138959692, u'name': u'Docker', u'id_str': u'1138959692'}, {u'indices': [94, 105], u'screen_name': u'RealPython', u'id': 745911914, u'name': u'RealPython.com', u'id_str': u'745911914'}, {u'indices': [106, 120], u'screen_name': u'djangoproject', u'id': 191225303, u'name': u'Django', u'id_str': u'191225303'}] 38 0.0%
 
[{u'indices': [73, 86], u'id': 586410081, u'id_str': u'586410081', u'name': u'Developer Economics', u'screen_name': u'DevEconomics'}] 38 0.0%
 
[{u'indices': [1, 13], u'id': 27241881, u'id_str': u'27241881', u'name': u'Ben Nuttall', u'screen_name': u'ben_nuttall'}] 37 0.0%
 
[{u'indices': [51, 66], u'screen_name': u'brandon_rhodes', u'id': 15366875, u'name': u'Brandon Rhodes', u'id_str': u'15366875'}] 37 0.0%
 
[{u'indices': [90, 100], u'id': 2677694917, u'id_str': u'2677694917', u'name': u'Cybrary', u'screen_name': u'cybraryIT'}] 33 0.0%
 
[{u'indices': [74, 90], u'id': 393033324, u'id_str': u'393033324', u'name': u'Data Science Central', u'screen_name': u'DataScienceCtrl'}] 30 0.0%
 
[{u'indices': [26, 39], u'id': 29581654, u'id_str': u'29581654', u'name': u'DawgPoundUSA', u'screen_name': u'videoboyblog'}] 28 0.0%
 
Other values (2861) 6474 6.6%
 
(Missing) 64135 65.2%
 

retweeted_status_favorite_count
Highly correlated

This variable is highly correlated with retweet_count and should be ignored for analysis

Correlation 0.95171

retweeted_status_favorited
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
34564
(Missing)
63829
Value Count Frequency (%)  
False 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_id
Numeric

Distinct count 11610
Unique (%) 33.6%
Missing (%) 64.9%
Missing (n) 63829
Mean 7.2119e+17
Minimum 3613600000
Maximum 7.2753e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 3613600000
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2753e+17
Range 7.2753e+17
Interquartile range

Descriptive statistics

Standard deviation 3.1095e+16
Coef of variation 0.043117
Kurtosis 301.72
Mean 7.2119e+17
MAD 5.7308e+15
Skewness -16.496
Sum 2.4927e+22
Variance 9.6692e+32
Memory size 768.8 KiB

retweeted_status_id_str
Highly correlated

This variable is highly correlated with retweeted_status_id and should be ignored for analysis

Correlation 1

retweeted_status_in_reply_to_screen_name
Categorical

Distinct count 878
Unique (%) 63.0%
Missing (%) 98.6%
Missing (n) 97000
randal_olson
 
44
FVMISO
 
27
KirkDBorne
 
19
Other values (874)
 
1303
(Missing)
97000
Value Count Frequency (%)  
randal_olson 44 0.0%
 
FVMISO 27 0.0%
 
KirkDBorne 19 0.0%
 
alicegoldfuss 17 0.0%
 
pybcn 13 0.0%
 
mariofusco 12 0.0%
 
Gurmeetramrahim 11 0.0%
 
AricToler 10 0.0%
 
bigapplepyinc 9 0.0%
 
JaredEYoung 8 0.0%
 
fred_SSC 8 0.0%
 
lynlinking 8 0.0%
 
unicodeveloper 7 0.0%
 
mikegrimshaw2 7 0.0%
 
drchuck 7 0.0%
 
PaideiaSS 7 0.0%
 
BSidesCleveland 6 0.0%
 
volcan01010 6 0.0%
 
williballenthin 6 0.0%
 
ramez 6 0.0%
 
Other values (857) 1155 1.2%
 
(Missing) 97000 98.6%
 

retweeted_status_in_reply_to_status_id
Highly correlated

This variable is highly correlated with retweeted_status_id_str and should be ignored for analysis

Correlation 0.98947

retweeted_status_in_reply_to_status_id_str
Highly correlated

This variable is highly correlated with retweeted_status_in_reply_to_status_id and should be ignored for analysis

Correlation 1

retweeted_status_in_reply_to_user_id
Numeric

Distinct count 878
Unique (%) 63.0%
Missing (%) 98.6%
Missing (n) 97000
Mean 1.4383e+16
Minimum 5339
Maximum 7.2344e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 5339
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2344e+17
Range 7.2344e+17
Interquartile range

Descriptive statistics

Standard deviation 1.0046e+17
Coef of variation 6.985
Kurtosis 44.957
Mean 1.4383e+16
MAD 2.8187e+16
Skewness 6.8474
Sum 2.0035e+19
Variance 1.0093e+34
Memory size 768.8 KiB

retweeted_status_in_reply_to_user_id_str
Highly correlated

This variable is highly correlated with retweeted_status_in_reply_to_user_id and should be ignored for analysis

Correlation 1

retweeted_status_is_quote_status
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
33135
True
 
1429
(Missing)
63829
Value Count Frequency (%)  
False 33135 33.7%
 
True 1429 1.5%
 
(Missing) 63829 64.9%
 

retweeted_status_lang
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
en
34564
(Missing)
63829
Value Count Frequency (%)  
en 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_metadata_iso_language_code
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
en
34564
(Missing)
63829
Value Count Frequency (%)  
en 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_metadata_result_type
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
recent
34564
(Missing)
63829
Value Count Frequency (%)  
recent 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_place_bounding_box_coordinates
Categorical

Distinct count 239
Unique (%) 18.9%
Missing (%) 98.7%
Missing (n) 97129
[[[-79.487651, 37.886607], [-74.986286, 37.886607], [-74.986286, 39.723622], [-79.487651, 39.723622]]]
 
231
[[[-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719]]]
 
58
[[[13.3657388, 52.504089], [13.429441, 52.504089], [13.429441, 52.540159], [13.3657388, 52.540159]]]
 
53
Other values (235)
 
922
(Missing)
97129
Value Count Frequency (%)  
[[[-79.487651, 37.886607], [-74.986286, 37.886607], [-74.986286, 39.723622], [-79.487651, 39.723622]]] 231 0.2%
 
[[[-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719]]] 58 0.1%
 
[[[13.3657388, 52.504089], [13.429441, 52.504089], [13.429441, 52.540159], [13.3657388, 52.540159]]] 53 0.1%
 
[[[-1.372296, 54.538762], [-1.2717038, 54.538762], [-1.2717038, 54.600693], [-1.372296, 54.600693]]] 44 0.0%
 
[[[-77.485561, 38.840172], [-77.364749, 38.840172], [-77.364749, 38.917243], [-77.485561, 38.917243]]] 43 0.0%
 
[[[-122.077393234, 37.414524681], [-122.077393234, 37.414524681], [-122.077393234, 37.414524681], [-122.077393234, 37.414524681]]] 37 0.0%
 
[[[-84.576827, 33.6475029], [-84.289385, 33.6475029], [-84.289385, 33.8868859], [-84.576827, 33.8868859]]] 35 0.0%
 
[[[22.1357201, 44.386383], [40.227172, 44.386383], [40.227172, 52.379475], [22.1357201, 52.379475]]] 33 0.0%
 
[[[-118.668404, 33.704538], [-118.155409, 33.704538], [-118.155409, 34.337041], [-118.668404, 34.337041]]] 31 0.0%
 
[[[-97.131525, 47.86007], [-96.999601, 47.86007], [-96.999601, 47.954924], [-97.131525, 47.954924]]] 30 0.0%
 
[[[-80.147162, 25.7613083], [-80.1187628, 25.7613083], [-80.1187628, 25.872623], [-80.147162, 25.872623]]] 29 0.0%
 
[[[-117.282538, 32.53962], [-116.9274403, 32.53962], [-116.9274403, 33.0804044], [-117.282538, 33.0804044]]] 27 0.0%
 
[[[-73.933612, 40.785365], [-73.765271, 40.785365], [-73.765271, 40.91533], [-73.933612, 40.91533]]] 21 0.0%
 
[[[-97.740086, 30.263577], [-97.740086, 30.263577], [-97.740086, 30.263577], [-97.740086, 30.263577]]] 20 0.0%
 
[[[-0.112442, 51.5068], [-0.0733794, 51.5068], [-0.0733794, 51.522161], [-0.112442, 51.522161]]] 16 0.0%
 
[[[-78.201069, 39.13086], [-78.1376541, 39.13086], [-78.1376541, 39.204922], [-78.201069, 39.204922]]] 16 0.0%
 
[[[-46.108612, -23.306164], [-45.7262721, -23.306164], [-45.7262721, -22.816672], [-46.108612, -22.816672]]] 14 0.0%
 
[[[-96.903853, 46.787881], [-96.756332, 46.787881], [-96.756332, 46.941884], [-96.903853, 46.941884]]] 11 0.0%
 
[[[-82.48315, 28.851867], [-82.386033, 28.851867], [-82.386033, 28.900198], [-82.48315, 28.900198]]] 11 0.0%
 
[[[2.0524766, 41.3170475], [2.2299781, 41.3170475], [2.2299781, 41.4682658], [2.0524766, 41.4682658]]] 11 0.0%
 
Other values (218) 493 0.5%
 
(Missing) 97129 98.7%
 

retweeted_status_place_bounding_box_type
Categorical

Distinct count 2
Unique (%) 0.2%
Missing (%) 98.7%
Missing (n) 97129
Polygon
 
1264
(Missing)
97129
Value Count Frequency (%)  
Polygon 1264 1.3%
 
(Missing) 97129 98.7%
 

retweeted_status_place_contained_within
Categorical

Distinct count 2
Unique (%) 0.2%
Missing (%) 98.7%
Missing (n) 97129
[]
 
1264
(Missing)
97129
Value Count Frequency (%)  
[] 1264 1.3%
 
(Missing) 97129 98.7%
 

retweeted_status_place_country
Categorical

Distinct count 27
Unique (%) 2.3%
Missing (%) 98.8%
Missing (n) 97223
United States
 
793
United Kingdom
 
124
Deutschland
 
72
Other values (23)
 
181
(Missing)
97223
Value Count Frequency (%)  
United States 793 0.8%
 
United Kingdom 124 0.1%
 
Deutschland 72 0.1%
 
Australia 39 0.0%
 
Brasil 21 0.0%
 
Italia 20 0.0%
 
Canada 17 0.0%
 
Ireland 17 0.0%
 
Malaysia 14 0.0%
 
Kenya 10 0.0%
 
Polska 8 0.0%
 
Nederland 6 0.0%
 
Schweiz 6 0.0%
 
Sverige 4 0.0%
 
South Africa 4 0.0%
 
France 3 0.0%
 
Bolivia 2 0.0%
 
Bermuda 2 0.0%
 
Danmark 1 0.0%
 
Indonesia 1 0.0%
 
Other values (6) 6 0.0%
 
(Missing) 97223 98.8%
 

retweeted_status_place_country_code
Categorical

Distinct count 39
Unique (%) 3.1%
Missing (%) 98.7%
Missing (n) 97131
US
 
793
GB
 
124
DE
 
72
Other values (35)
 
273
(Missing)
97131
Value Count Frequency (%)  
US 793 0.8%
 
GB 124 0.1%
 
DE 72 0.1%
 
AU 39 0.0%
 
UA 33 0.0%
 
BR 21 0.0%
 
IT 20 0.0%
 
IE 17 0.0%
 
CA 17 0.0%
 
MY 14 0.0%
 
RU 14 0.0%
 
ES 12 0.0%
 
IN 11 0.0%
 
KE 10 0.0%
 
PL 8 0.0%
 
CH 6 0.0%
 
DZ 6 0.0%
 
NL 6 0.0%
 
ZA 4 0.0%
 
SG 4 0.0%
 
Other values (18) 31 0.0%
 
(Missing) 97131 98.7%
 

retweeted_status_place_full_name
Categorical

Distinct count 230
Unique (%) 18.6%
Missing (%) 98.7%
Missing (n) 97157
Maryland, USA
 
231
Walter E. Washington Convention Center
 
58
City Centre, Berlin
 
53
Other values (226)
 
894
(Missing)
97157
Value Count Frequency (%)  
Maryland, USA 231 0.2%
 
Walter E. Washington Convention Center 58 0.1%
 
City Centre, Berlin 53 0.1%
 
Stockton-on-Tees, England 44 0.0%
 
Chantilly, VA 43 0.0%
 
Computer History Museum 37 0.0%
 
Atlanta, GA 35 0.0%
 
Ukraine 33 0.0%
 
Los Angeles, CA 31 0.0%
 
Grand Forks, ND 30 0.0%
 
Miami Beach, FL 29 0.0%
 
San Diego, CA 27 0.0%
 
Bronx, NY 21 0.0%
 
Austin Convention Center 20 0.0%
 
Winchester, VA 16 0.0%
 
City of London, London 16 0.0%
 
Barcelona, Spain 11 0.0%
 
Fargo, ND 11 0.0%
 
Citrus Hills, FL 11 0.0%
 
Fingal, Ireland 10 0.0%
 
Other values (209) 469 0.5%
 
(Missing) 97157 98.7%
 

retweeted_status_place_id
Categorical

Distinct count 239
Unique (%) 18.9%
Missing (%) 98.7%
Missing (n) 97129
dea1eac2d7ef8878
 
231
07d9e3a18b488000
 
58
2825830a11306ae1
 
53
Other values (235)
 
922
(Missing)
97129
Value Count Frequency (%)  
dea1eac2d7ef8878 231 0.2%
 
07d9e3a18b488000 58 0.1%
 
2825830a11306ae1 53 0.1%
 
3e20eaf0dc70acfe 44 0.0%
 
353916ce76086be6 43 0.0%
 
07d9c9346c081000 37 0.0%
 
8173485c72e78ca5 35 0.0%
 
084d0d0155787e9d 33 0.0%
 
3b77caf94bfc81fe 31 0.0%
 
da0b409f35f780db 30 0.0%
 
0121b92345f0e2b4 29 0.0%
 
a592bd6ceb1319f7 27 0.0%
 
002e24c6736f069d 21 0.0%
 
07d9e38710082001 20 0.0%
 
3eb2c704fe8a50cb 16 0.0%
 
b4add85f41a3e371 16 0.0%
 
ad8a3318a4317a03 14 0.0%
 
5c8fea63bc3faa5b 11 0.0%
 
2f42eb84fa19ab47 11 0.0%
 
1a27537478dd8e38 11 0.0%
 
Other values (218) 493 0.5%
 
(Missing) 97129 98.7%
 

retweeted_status_place_name
Categorical

Distinct count 229
Unique (%) 18.5%
Missing (%) 98.7%
Missing (n) 97156
Maryland
 
231
Walter E. Washington Convention Center
 
58
City Centre
 
53
Other values (225)
 
895
(Missing)
97156
Value Count Frequency (%)  
Maryland 231 0.2%
 
Walter E. Washington Convention Center 58 0.1%
 
City Centre 53 0.1%
 
Stockton-on-Tees 44 0.0%
 
Chantilly 43 0.0%
 
Computer History Museum 37 0.0%
 
Atlanta 35 0.0%
 
Ukraine 33 0.0%
 
Los Angeles 31 0.0%
 
Grand Forks 30 0.0%
 
Miami Beach 29 0.0%
 
San Diego 27 0.0%
 
Bronx 21 0.0%
 
Austin Convention Center 20 0.0%
 
Winchester 16 0.0%
 
City of London 16 0.0%
 
Fargo 11 0.0%
 
Citrus Hills 11 0.0%
 
Barcelona 11 0.0%
 
Brisbane 10 0.0%
 
Other values (208) 470 0.5%
 
(Missing) 97156 98.7%
 

retweeted_status_place_place_type
Categorical

Distinct count 6
Unique (%) 0.5%
Missing (%) 98.7%
Missing (n) 97129
city
 
735
admin
 
282
poi
 
126
Other values (2)
 
121
(Missing)
97129
Value Count Frequency (%)  
city 735 0.7%
 
admin 282 0.3%
 
poi 126 0.1%
 
neighborhood 67 0.1%
 
country 54 0.1%
 
(Missing) 97129 98.7%
 

retweeted_status_place_url
Categorical

Distinct count 239
Unique (%) 18.9%
Missing (%) 98.7%
Missing (n) 97129
https://api.twitter.com/1.1/geo/id/dea1eac2d7ef8878.json
 
231
https://api.twitter.com/1.1/geo/id/07d9e3a18b488000.json
 
58
https://api.twitter.com/1.1/geo/id/2825830a11306ae1.json
 
53
Other values (235)
 
922
(Missing)
97129
Value Count Frequency (%)  
https://api.twitter.com/1.1/geo/id/dea1eac2d7ef8878.json 231 0.2%
 
https://api.twitter.com/1.1/geo/id/07d9e3a18b488000.json 58 0.1%
 
https://api.twitter.com/1.1/geo/id/2825830a11306ae1.json 53 0.1%
 
https://api.twitter.com/1.1/geo/id/3e20eaf0dc70acfe.json 44 0.0%
 
https://api.twitter.com/1.1/geo/id/353916ce76086be6.json 43 0.0%
 
https://api.twitter.com/1.1/geo/id/07d9c9346c081000.json 37 0.0%
 
https://api.twitter.com/1.1/geo/id/8173485c72e78ca5.json 35 0.0%
 
https://api.twitter.com/1.1/geo/id/084d0d0155787e9d.json 33 0.0%
 
https://api.twitter.com/1.1/geo/id/3b77caf94bfc81fe.json 31 0.0%
 
https://api.twitter.com/1.1/geo/id/da0b409f35f780db.json 30 0.0%
 
https://api.twitter.com/1.1/geo/id/0121b92345f0e2b4.json 29 0.0%
 
https://api.twitter.com/1.1/geo/id/a592bd6ceb1319f7.json 27 0.0%
 
https://api.twitter.com/1.1/geo/id/002e24c6736f069d.json 21 0.0%
 
https://api.twitter.com/1.1/geo/id/07d9e38710082001.json 20 0.0%
 
https://api.twitter.com/1.1/geo/id/b4add85f41a3e371.json 16 0.0%
 
https://api.twitter.com/1.1/geo/id/3eb2c704fe8a50cb.json 16 0.0%
 
https://api.twitter.com/1.1/geo/id/ad8a3318a4317a03.json 14 0.0%
 
https://api.twitter.com/1.1/geo/id/1a27537478dd8e38.json 11 0.0%
 
https://api.twitter.com/1.1/geo/id/2f42eb84fa19ab47.json 11 0.0%
 
https://api.twitter.com/1.1/geo/id/5c8fea63bc3faa5b.json 11 0.0%
 
Other values (218) 493 0.5%
 
(Missing) 97129 98.7%
 

retweeted_status_possibly_sensitive
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 70.4%
Missing (n) 69243
False
28792
True
 
358
(Missing)
69243
Value Count Frequency (%)  
False 28792 29.3%
 
True 358 0.4%
 
(Missing) 69243 70.4%
 

retweeted_status_quoted_status_created_at
Categorical

Distinct count 217
Unique (%) 15.4%
Missing (%) 98.6%
Missing (n) 96981
Mon Apr 25 14:10:27 +0000 2016
 
947
Sat Apr 30 16:18:48 +0000 2016
 
21
Tue Jan 26 22:44:10 +0000 2016
 
21
Other values (213)
 
423
(Missing)
96981
Value Count Frequency (%)  
Mon Apr 25 14:10:27 +0000 2016 947 1.0%
 
Sat Apr 30 16:18:48 +0000 2016 21 0.0%
 
Tue Jan 26 22:44:10 +0000 2016 21 0.0%
 
Tue Apr 26 10:15:15 +0000 2016 16 0.0%
 
Tue May 03 11:01:51 +0000 2016 11 0.0%
 
Wed Apr 20 16:11:10 +0000 2016 11 0.0%
 
Sat Apr 23 01:57:42 +0000 2016 10 0.0%
 
Tue Apr 12 09:49:06 +0000 2016 7 0.0%
 
Tue Apr 26 19:07:08 +0000 2016 7 0.0%
 
Tue May 03 01:57:17 +0000 2016 6 0.0%
 
Thu Mar 24 15:02:20 +0000 2016 6 0.0%
 
Fri Apr 22 12:46:46 +0000 2016 6 0.0%
 
Tue May 03 01:51:52 +0000 2016 6 0.0%
 
Mon Apr 18 20:28:09 +0000 2016 6 0.0%
 
Mon May 02 15:57:40 +0000 2016 6 0.0%
 
Sun Apr 24 01:43:46 +0000 2016 6 0.0%
 
Mon Apr 25 21:30:06 +0000 2016 5 0.0%
 
Mon Apr 18 14:40:10 +0000 2016 5 0.0%
 
Fri Apr 15 19:33:09 +0000 2016 5 0.0%
 
Mon Apr 25 15:11:18 +0000 2016 5 0.0%
 
Other values (196) 299 0.3%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_entities_hashtags
Categorical

Distinct count 88
Unique (%) 6.2%
Missing (%) 98.6%
Missing (n) 96981
[]
 
1220
[{u'indices': [75, 82], u'text': u'pydata'}]
 
11
[{u'indices': [10, 24], u'text': u'DayAgainstDRM'}]
 
11
Other values (84)
 
170
(Missing)
96981
Value Count Frequency (%)  
[] 1220 1.2%
 
[{u'indices': [75, 82], u'text': u'pydata'}] 11 0.0%
 
[{u'indices': [10, 24], u'text': u'DayAgainstDRM'}] 11 0.0%
 
[{u'indices': [64, 71], u'text': u'rstats'}] 10 0.0%
 
[{u'indices': [17, 24], u'text': u'Python'}] 9 0.0%
 
[{u'indices': [8, 15], u'text': u'askSPC'}] 7 0.0%
 
[{u'indices': [14, 19], u'text': u'HTML'}, {u'indices': [20, 24], u'text': u'CSS'}, {u'indices': [31, 38], u'text': u'Python'}] 7 0.0%
 
[{u'indices': [39, 46], u'text': u'Python'}] 6 0.0%
 
[{u'indices': [51, 63], u'text': u'datascience'}, {u'indices': [64, 69], u'text': u'data'}] 6 0.0%
 
[{u'indices': [25, 32], u'text': u'Hadoop'}, {u'indices': [101, 109], u'text': u'bigdata'}] 5 0.0%
 
[{u'indices': [0, 15], u'text': u'2131wetandwild'}] 5 0.0%
 
[{u'indices': [25, 45], u'text': u'AutomationFramework'}] 4 0.0%
 
[{u'indices': [14, 30], u'text': u'MachineLearning'}, {u'indices': [31, 43], u'text': u'DataScience'}, {u'indices': [44, 55], u'text': u'OpenSource'}, {u'indices': [89, 97], u'text': u'BigData'}, {u'indices': [98, 108], u'text': u'Analytics'}] 4 0.0%
 
[{u'indices': [116, 128], u'text': u'djangogirls'}, {u'indices': [129, 140], u'text': u'learn2code'}] 4 0.0%
 
[{u'indices': [29, 36], u'text': u'Python'}, {u'indices': [37, 45], u'text': u'DataViz'}] 4 0.0%
 
[{u'indices': [31, 39], u'text': u'SciFest'}] 3 0.0%
 
[{u'indices': [41, 57], u'text': u'machinelearning'}] 3 0.0%
 
[{u'indices': [59, 64], u'text': u'RJam'}] 3 0.0%
 
[{u'indices': [36, 43], u'text': u'Ubuntu'}] 2 0.0%
 
[{u'indices': [78, 90], u'text': u'DataScience'}, {u'indices': [91, 107], u'text': u'MachineLearning'}] 2 0.0%
 
Other values (67) 86 0.1%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_entities_media
Categorical

Distinct count 79
Unique (%) 7.1%
Missing (%) 98.9%
Missing (n) 97278
[{u'expanded_url': u'http://twitter.com/ndtv/status/724601469408796673/photo/1', u'sizes': {u'small': {u'h': 209, u'resize': u'fit', u'w': 340}, u'large': {u'h': 400, u'resize': u'fit', u'w': 650}, u'medium': {u'h': 369, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/7eFucdjpmP', u'media_url_https': u'https://pbs.twimg.com/media/Cg5NMhUU4AAq5ig.jpg', u'id_str': u'724601467550621696', u'indices': [77, 100], u'media_url': u'http://pbs.twimg.com/media/Cg5NMhUU4AAq5ig.jpg', u'type': u'photo', u'id': 724601467550621696, u'display_url': u'pic.twitter.com/7eFucdjpmP'}]
 
947
[{u'expanded_url': u'http://twitter.com/TomAugspurger/status/726445711202484224/photo/1', u'sizes': {u'small': {u'h': 170, u'resize': u'fit', u'w': 340}, u'large': {u'h': 432, u'resize': u'fit', u'w': 864}, u'medium': {u'h': 300, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/PoDO98Fp8x', u'media_url_https': u'https://pbs.twimg.com/media/ChTahiWU0AAmFuU.jpg', u'id_str': u'726445709604474880', u'indices': [58, 81], u'media_url': u'http://pbs.twimg.com/media/ChTahiWU0AAmFuU.jpg', u'type': u'photo', u'id': 726445709604474880, u'display_url': u'pic.twitter.com/PoDO98Fp8x'}]
 
21
[{u'expanded_url': u'http://twitter.com/TeezeeDRB/status/724904667696746497/photo/1', u'sizes': {u'small': {u'h': 453, u'resize': u'fit', u'w': 340}, u'large': {u'h': 1365, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 800, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/iyPVzSWZDk', u'media_url_https': u'https://pbs.twimg.com/media/Cg9g7vOWwAEyFUG.jpg', u'id_str': u'724904644435165185', u'indices': [61, 84], u'media_url': u'http://pbs.twimg.com/media/Cg9g7vOWwAEyFUG.jpg', u'type': u'photo', u'id': 724904644435165185, u'display_url': u'pic.twitter.com/iyPVzSWZDk'}]
 
16
Other values (75)
 
131
(Missing)
97278
Value Count Frequency (%)  
[{u'expanded_url': u'http://twitter.com/ndtv/status/724601469408796673/photo/1', u'sizes': {u'small': {u'h': 209, u'resize': u'fit', u'w': 340}, u'large': {u'h': 400, u'resize': u'fit', u'w': 650}, u'medium': {u'h': 369, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/7eFucdjpmP', u'media_url_https': u'https://pbs.twimg.com/media/Cg5NMhUU4AAq5ig.jpg', u'id_str': u'724601467550621696', u'indices': [77, 100], u'media_url': u'http://pbs.twimg.com/media/Cg5NMhUU4AAq5ig.jpg', u'type': u'photo', u'id': 724601467550621696, u'display_url': u'pic.twitter.com/7eFucdjpmP'}] 947 1.0%
 
[{u'expanded_url': u'http://twitter.com/TomAugspurger/status/726445711202484224/photo/1', u'sizes': {u'small': {u'h': 170, u'resize': u'fit', u'w': 340}, u'large': {u'h': 432, u'resize': u'fit', u'w': 864}, u'medium': {u'h': 300, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/PoDO98Fp8x', u'media_url_https': u'https://pbs.twimg.com/media/ChTahiWU0AAmFuU.jpg', u'id_str': u'726445709604474880', u'indices': [58, 81], u'media_url': u'http://pbs.twimg.com/media/ChTahiWU0AAmFuU.jpg', u'type': u'photo', u'id': 726445709604474880, u'display_url': u'pic.twitter.com/PoDO98Fp8x'}] 21 0.0%
 
[{u'expanded_url': u'http://twitter.com/TeezeeDRB/status/724904667696746497/photo/1', u'sizes': {u'small': {u'h': 453, u'resize': u'fit', u'w': 340}, u'large': {u'h': 1365, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 800, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/iyPVzSWZDk', u'media_url_https': u'https://pbs.twimg.com/media/Cg9g7vOWwAEyFUG.jpg', u'id_str': u'724904644435165185', u'indices': [61, 84], u'media_url': u'http://pbs.twimg.com/media/Cg9g7vOWwAEyFUG.jpg', u'type': u'photo', u'id': 724904644435165185, u'display_url': u'pic.twitter.com/iyPVzSWZDk'}] 16 0.0%
 
[{u'expanded_url': u'http://twitter.com/OReillyMedia/status/727453108490637312/photo/1', u'sizes': {u'small': {u'h': 192, u'resize': u'fit', u'w': 340}, u'large': {u'h': 512, u'resize': u'fit', u'w': 908}, u'medium': {u'h': 338, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/RHONj9PXGw', u'media_url_https': u'https://pbs.twimg.com/media/Chhuv1zUkAEENxz.jpg', u'id_str': u'727453107995578369', u'indices': [120, 143], u'media_url': u'http://pbs.twimg.com/media/Chhuv1zUkAEENxz.jpg', u'type': u'photo', u'id': 727453107995578369, u'display_url': u'pic.twitter.com/RHONj9PXGw'}] 11 0.0%
 
[{u'expanded_url': u'http://twitter.com/CodeFirstGirls/status/719824658560905216/photo/1', u'sizes': {u'small': {u'h': 268, u'resize': u'fit', u'w': 340}, u'large': {u'h': 808, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 473, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/0DanixM4FH', u'media_url_https': u'https://pbs.twimg.com/media/Cf1UtkeUkAAsSAG.jpg', u'id_str': u'719824657310846976', u'indices': [119, 142], u'media_url': u'http://pbs.twimg.com/media/Cf1UtkeUkAAsSAG.jpg', u'type': u'photo', u'id': 719824657310846976, u'display_url': u'pic.twitter.com/0DanixM4FH'}] 7 0.0%
 
[{u'expanded_url': u'http://twitter.com/welchlabs/status/721058802062266368/photo/1', u'sizes': {u'small': {u'h': 191, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 577, u'w': 1024, u'resize': u'fit'}, u'medium': {u'h': 338, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/HOenulFPUi', u'media_url_https': u'https://pbs.twimg.com/media/CgG3KMlWQAAkQPQ.jpg', u'id_str': u'721058801160437760', u'indices': [68, 91], u'media_url': u'http://pbs.twimg.com/media/CgG3KMlWQAAkQPQ.jpg', u'type': u'photo', u'id': 721058801160437760, u'display_url': u'pic.twitter.com/HOenulFPUi'}] 5 0.0%
 
[{u'expanded_url': u'http://twitter.com/joy2131_/status/722072235272482816/photo/1', u'sizes': {u'large': {u'h': 1024, u'w': 696, u'resize': u'fit'}, u'small': {u'h': 500, u'w': 340, u'resize': u'fit'}, u'medium': {u'h': 883, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/dduSMWoMyR', u'media_url_https': u'https://pbs.twimg.com/media/CgVQzmTXEAEMIJu.jpg', u'id_str': u'722072162648133633', u'indices': [106, 129], u'media_url': u'http://pbs.twimg.com/media/CgVQzmTXEAEMIJu.jpg', u'type': u'photo', u'id': 722072162648133633, u'display_url': u'pic.twitter.com/dduSMWoMyR'}] 5 0.0%
 
[{u'source_user_id': 816825631, u'source_status_id_str': u'690261906226020352', u'expanded_url': u'http://twitter.com/dataiku/status/690261906226020352/photo/1', u'sizes': {u'small': {u'h': 271, u'resize': u'fit', u'w': 340}, u'large': {u'h': 395, u'resize': u'fit', u'w': 495}, u'medium': {u'h': 395, u'resize': u'fit', u'w': 495}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/s9xk7ZjBVt', u'media_url_https': u'https://pbs.twimg.com/media/CZRNi-dWkAAy4r-.jpg', u'source_user_id_str': u'816825631', u'source_status_id': 690261906226020352, u'id_str': u'690261906171531264', u'indices': [109, 132], u'media_url': u'http://pbs.twimg.com/media/CZRNi-dWkAAy4r-.jpg', u'type': u'photo', u'id': 690261906171531264, u'display_url': u'pic.twitter.com/s9xk7ZjBVt'}] 4 0.0%
 
[{u'expanded_url': u'http://twitter.com/hoeroins/status/724213928100659200/photo/1', u'sizes': {u'small': {u'h': 453, u'resize': u'fit', u'w': 340}, u'large': {u'h': 960, u'resize': u'fit', u'w': 720}, u'medium': {u'h': 800, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/nFjM5X1Imi', u'media_url_https': u'https://pbs.twimg.com/media/Cgzst6eUkAAgkXS.jpg', u'id_str': u'724213913634508800', u'indices': [72, 95], u'media_url': u'http://pbs.twimg.com/media/Cgzst6eUkAAgkXS.jpg', u'type': u'photo', u'id': 724213913634508800, u'display_url': u'pic.twitter.com/nFjM5X1Imi'}] 4 0.0%
 
[{u'expanded_url': u'http://twitter.com/alobbs/status/724987233019654144/photo/1', u'sizes': {u'small': {u'h': 191, u'resize': u'fit', u'w': 340}, u'large': {u'h': 576, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 338, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/slpYLDyMRA', u'media_url_https': u'https://pbs.twimg.com/media/Cg-sCTGUYAENGba.jpg', u'id_str': u'724987220516429825', u'indices': [113, 136], u'media_url': u'http://pbs.twimg.com/media/Cg-sCTGUYAENGba.jpg', u'type': u'photo', u'id': 724987220516429825, u'display_url': u'pic.twitter.com/slpYLDyMRA'}] 4 0.0%
 
[{u'expanded_url': u'http://twitter.com/FlippinKath/status/726428505630756864/photo/1', u'sizes': {u'small': {u'h': 254, u'resize': u'fit', u'w': 340}, u'large': {u'h': 273, u'resize': u'fit', u'w': 365}, u'medium': {u'h': 273, u'resize': u'fit', u'w': 365}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/X8IRRmQPgT', u'media_url_https': u'https://pbs.twimg.com/media/ChTK3erW0AAap29.jpg', u'id_str': u'726428494390022144', u'indices': [18, 41], u'media_url': u'http://pbs.twimg.com/media/ChTK3erW0AAap29.jpg', u'type': u'photo', u'id': 726428494390022144, u'display_url': u'pic.twitter.com/X8IRRmQPgT'}] 4 0.0%
 
[{u'expanded_url': u'http://twitter.com/jcolantonio/status/725349529562787840/photo/1', u'sizes': {u'small': {u'h': 169, u'resize': u'fit', u'w': 340}, u'large': {u'h': 292, u'resize': u'fit', u'w': 588}, u'medium': {u'h': 292, u'resize': u'fit', u'w': 588}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/AJFrJoA4YZ', u'media_url_https': u'https://pbs.twimg.com/media/ChD1jahUgAIsx6I.jpg', u'id_str': u'725349528769953794', u'indices': [116, 139], u'media_url': u'http://pbs.twimg.com/media/ChD1jahUgAIsx6I.jpg', u'type': u'photo', u'id': 725349528769953794, u'display_url': u'pic.twitter.com/AJFrJoA4YZ'}] 4 0.0%
 
[{u'expanded_url': u'http://twitter.com/clxrityy/status/723834428032733184/photo/1', u'sizes': {u'large': {u'h': 960, u'w': 720, u'resize': u'fit'}, u'small': {u'h': 453, u'w': 340, u'resize': u'fit'}, u'medium': {u'h': 800, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/2HE2kCs4jV', u'media_url_https': u'https://pbs.twimg.com/media/CguTjsBWYAAGqnH.jpg', u'id_str': u'723834406444621824', u'indices': [99, 122], u'media_url': u'http://pbs.twimg.com/media/CguTjsBWYAAGqnH.jpg', u'type': u'photo', u'id': 723834406444621824, u'display_url': u'pic.twitter.com/2HE2kCs4jV'}] 3 0.0%
 
[{u'expanded_url': u'http://twitter.com/Raspberry_Pi/status/721738973668843524/photo/1', u'sizes': {u'large': {u'h': 768, u'w': 1024, u'resize': u'fit'}, u'small': {u'h': 255, u'w': 340, u'resize': u'fit'}, u'medium': {u'h': 450, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/gWszyMYMvC', u'media_url_https': u'https://pbs.twimg.com/media/CgQhu84WcAEBfhC.jpg', u'id_str': u'721738930786299905', u'indices': [106, 129], u'media_url': u'http://pbs.twimg.com/media/CgQhu84WcAEBfhC.jpg', u'type': u'photo', u'id': 721738930786299905, u'display_url': u'pic.twitter.com/gWszyMYMvC'}] 3 0.0%
 
[{u'expanded_url': u'http://twitter.com/SchoolPiClub/status/727204341501857794/photo/1', u'sizes': {u'small': {u'h': 255, u'resize': u'fit', u'w': 340}, u'large': {u'h': 768, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 450, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/XPBcemXbVP', u'media_url_https': u'https://pbs.twimg.com/media/CheMe1HWwAAbIzc.jpg', u'id_str': u'727204326125518848', u'indices': [65, 88], u'media_url': u'http://pbs.twimg.com/media/CheMe1HWwAAbIzc.jpg', u'type': u'photo', u'id': 727204326125518848, u'display_url': u'pic.twitter.com/XPBcemXbVP'}] 3 0.0%
 
[{u'source_user_id': 18406335, u'source_status_id_str': u'692714858467426304', u'expanded_url': u'http://twitter.com/dogvile/status/692714858467426304/photo/1', u'display_url': u'pic.twitter.com/wHhbsHvl6O', u'url': u'https://t.co/wHhbsHvl6O', u'media_url_https': u'https://pbs.twimg.com/media/CZ0EfecXEAAucil.jpg', u'source_user_id_str': u'18406335', u'source_status_id': 692714858467426304, u'id_str': u'692714856479395840', u'sizes': {u'small': {u'h': 255, u'w': 340, u'resize': u'fit'}, u'large': {u'h': 465, u'w': 620, u'resize': u'fit'}, u'medium': {u'h': 450, u'w': 600, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'indices': [97, 120], u'type': u'photo', u'id': 692714856479395840, u'media_url': u'http://pbs.twimg.com/media/CZ0EfecXEAAucil.jpg'}] 3 0.0%
 
[{u'expanded_url': u'http://twitter.com/circuitStatic/status/725713767498043392/photo/1', u'sizes': {u'small': {u'h': 103, u'resize': u'fit', u'w': 340}, u'large': {u'h': 122, u'resize': u'fit', u'w': 401}, u'medium': {u'h': 122, u'resize': u'fit', u'w': 401}, u'thumb': {u'h': 122, u'resize': u'crop', u'w': 122}}, u'url': u'https://t.co/YKcqLeYpL8', u'media_url_https': u'https://pbs.twimg.com/media/ChJAy_2VEAEmjEI.jpg', u'id_str': u'725713734837014529', u'indices': [111, 134], u'media_url': u'http://pbs.twimg.com/media/ChJAy_2VEAEmjEI.jpg', u'type': u'photo', u'id': 725713734837014529, u'display_url': u'pic.twitter.com/YKcqLeYpL8'}] 2 0.0%
 
[{u'expanded_url': u'http://twitter.com/moTik/status/725217117822279680/photo/1', u'sizes': {u'small': {u'h': 255, u'resize': u'fit', u'w': 340}, u'large': {u'h': 768, u'resize': u'fit', u'w': 1024}, u'medium': {u'h': 450, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/IaDgSxgNpq', u'media_url_https': u'https://pbs.twimg.com/media/ChB9HJwUUAA4r52.jpg', u'id_str': u'725217101837783040', u'indices': [125, 148], u'media_url': u'http://pbs.twimg.com/media/ChB9HJwUUAA4r52.jpg', u'type': u'photo', u'id': 725217101837783040, u'display_url': u'pic.twitter.com/IaDgSxgNpq'}] 2 0.0%
 
[{u'expanded_url': u'http://twitter.com/Perez_Elem_Lib/status/725722005639585792/photo/1', u'sizes': {u'small': {u'h': 255, u'resize': u'fit', u'w': 340}, u'large': {u'h': 480, u'resize': u'fit', u'w': 640}, u'medium': {u'h': 450, u'resize': u'fit', u'w': 600}, u'thumb': {u'h': 150, u'resize': u'crop', u'w': 150}}, u'url': u'https://t.co/qSsAQXMo1l', u'media_url_https': u'https://pbs.twimg.com/media/ChJIUYwU4AEdFor.jpg', u'id_str': u'725722005039800321', u'indices': [113, 136], u'media_url': u'http://pbs.twimg.com/media/ChJIUYwU4AEdFor.jpg', u'type': u'photo', u'id': 725722005039800321, u'display_url': u'pic.twitter.com/qSsAQXMo1l'}] 2 0.0%
 
[{u'expanded_url': u'http://twitter.com/ubuntu/status/723187759616237568/photo/1', u'sizes': {u'large': {u'h': 310, u'w': 300, u'resize': u'fit'}, u'small': {u'h': 310, u'w': 300, u'resize': u'fit'}, u'medium': {u'h': 310, u'w': 300, u'resize': u'fit'}, u'thumb': {u'h': 150, u'w': 150, u'resize': u'crop'}}, u'url': u'https://t.co/gKCYTcgY3P', u'media_url_https': u'https://pbs.twimg.com/media/CglHb1HWkAA7aOD.png', u'id_str': u'723187758609633280', u'indices': [116, 139], u'media_url': u'http://pbs.twimg.com/media/CglHb1HWkAA7aOD.png', u'type': u'photo', u'id': 723187758609633280, u'display_url': u'pic.twitter.com/gKCYTcgY3P'}] 2 0.0%
 
Other values (58) 63 0.1%
 
(Missing) 97278 98.9%
 

retweeted_status_quoted_status_entities_symbols
Categorical

Distinct count 2
Unique (%) 0.1%
Missing (%) 98.6%
Missing (n) 96981
[]
 
1412
(Missing)
96981
Value Count Frequency (%)  
[] 1412 1.4%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_entities_urls
Categorical

Distinct count 123
Unique (%) 8.7%
Missing (%) 98.6%
Missing (n) 96981
[{u'url': u'https://t.co/LYew7hBvJA', u'indices': [53, 76], u'expanded_url': u'http://www.ndtv.com/india-news/iits-have-been-asked-to-teach-sanskrit-smriti-irani-1399289', u'display_url': u'ndtv.com/india-news/iit\xe2\x80\xa6'}]
 
947
[]
 
199
[{u'url': u'https://t.co/Zjn0h9cvTy', u'indices': [34, 57], u'expanded_url': u'http://tomaugspurger.github.io/modern-6-visualization.html', u'display_url': u'tomaugspurger.github.io/modern-6-visua\xe2\x80\xa6'}]
 
21
Other values (119)
 
245
(Missing)
96981
Value Count Frequency (%)  
[{u'url': u'https://t.co/LYew7hBvJA', u'indices': [53, 76], u'expanded_url': u'http://www.ndtv.com/india-news/iits-have-been-asked-to-teach-sanskrit-smriti-irani-1399289', u'display_url': u'ndtv.com/india-news/iit\xe2\x80\xa6'}] 947 1.0%
 
[] 199 0.2%
 
[{u'url': u'https://t.co/Zjn0h9cvTy', u'indices': [34, 57], u'expanded_url': u'http://tomaugspurger.github.io/modern-6-visualization.html', u'display_url': u'tomaugspurger.github.io/modern-6-visua\xe2\x80\xa6'}] 21 0.0%
 
[{u'url': u'https://t.co/YPYGJjzFUK', u'indices': [84, 107], u'expanded_url': u'http://oreil.ly/DRM-FREE-2016', u'display_url': u'oreil.ly/DRM-FREE-2016'}] 11 0.0%
 
[{u'indices': [85, 108], u'url': u'https://t.co/MvsN1vwgXC', u'expanded_url': u'http://md.ekstrandom.net/blog/2016/04/using-r/', u'display_url': u'md.ekstrandom.net/blog/2016/04/u\xe2\x80\xa6'}] 9 0.0%
 
[{u'url': u'https://t.co/zJrYoOTkQx', u'indices': [51, 74], u'expanded_url': u'http://wesmckinney.com/blog/conda-forge-centos-moment/', u'display_url': u'wesmckinney.com/blog/conda-for\xe2\x80\xa6'}] 9 0.0%
 
[{u'indices': [99, 122], u'url': u'https://t.co/m3SkZoGNUQ', u'expanded_url': u'http://register.automatingosint.com/python-course/', u'display_url': u'register.automatingosint.com/python-course/'}] 8 0.0%
 
[{u'url': u'https://t.co/mIbtYxQ7Sq', u'indices': [95, 118], u'expanded_url': u'http://bit.ly/1SvvXIp', u'display_url': u'bit.ly/1SvvXIp'}] 7 0.0%
 
[{u'url': u'https://t.co/YrEJJSfalx', u'indices': [65, 88], u'expanded_url': u'http://bit.ly/1WDB4fl', u'display_url': u'bit.ly/1WDB4fl'}] 6 0.0%
 
[{u'url': u'https://t.co/VhPK7UrA3Y', u'indices': [105, 128], u'expanded_url': u'https://training.talkpython.fm/courses/details/python-language-jumpstart-building-10-apps', u'display_url': u'training.talkpython.fm/courses/detail\xe2\x80\xa6'}] 6 0.0%
 
[{u'url': u'https://t.co/vyzhKgcXG6', u'indices': [70, 93], u'expanded_url': u'http://www.computerworld.com/article/3047642/big-data/hottest-job-data-scientists-say-theyre-still-mostly-digital-janitors.html', u'display_url': u'computerworld.com/article/304764\xe2\x80\xa6'}] 6 0.0%
 
[{u'url': u'https://t.co/YQ3C1OivjK', u'indices': [43, 66], u'expanded_url': u'http://geekforbrains.com/post/after-a-year-of-nodejs-in-production', u'display_url': u'geekforbrains.com/post/after-a-y\xe2\x80\xa6'}] 6 0.0%
 
[{u'url': u'https://t.co/4Tdagcszbx', u'indices': [117, 140], u'expanded_url': u'http://j.mp/1YQKhQi', u'display_url': u'j.mp/1YQKhQi'}] 5 0.0%
 
[{u'url': u'https://t.co/6Em1jt1r4u', u'indices': [37, 60], u'expanded_url': u'http://nbviewer.jupyter.org/url/norvig.com/ipython/WWW.ipynb', u'display_url': u'nbviewer.jupyter.org/url/norvig.com\xe2\x80\xa6'}] 5 0.0%
 
[{u'url': u'https://t.co/k9FFfIMZBN', u'indices': [105, 128], u'expanded_url': u'https://lab.beakernotebook.com', u'display_url': u'lab.beakernotebook.com'}] 5 0.0%
 
[{u'url': u'https://t.co/ALKvFicSyT', u'indices': [65, 88], u'expanded_url': u'http://buff.ly/1SYputP', u'display_url': u'buff.ly/1SYputP'}] 4 0.0%
 
[{u'url': u'https://t.co/nAqfmbGLjY', u'indices': [77, 100], u'expanded_url': u'http://bit.ly/243dSwT', u'display_url': u'bit.ly/243dSwT'}] 4 0.0%
 
[{u'url': u'https://t.co/OTvZ3nS9E0', u'indices': [46, 69], u'expanded_url': u'http://www.thedevmasters.com/data-visualization-python/', u'display_url': u'thedevmasters.com/data-visualiza\xe2\x80\xa6'}] 4 0.0%
 
[{u'indices': [27, 50], u'url': u'https://t.co/svG21njHVx', u'expanded_url': u'http://www.gnu.org/software/8sync/news/8sync-01-released.html', u'display_url': u'gnu.org/software/8sync\xe2\x80\xa6'}, {u'indices': [66, 89], u'url': u'https://t.co/CklifL1LYN', u'expanded_url': u'http://www.gnu.org/software/8sync/news/hello-world.html', u'display_url': u'gnu.org/software/8sync\xe2\x80\xa6'}] 4 0.0%
 
[{u'url': u'https://t.co/enZjJ3RCvN', u'indices': [71, 94], u'expanded_url': u'https://www.linkedin.com/pulse/keras-neural-networks-win-nvidia-titan-x-abhishek-thakur', u'display_url': u'linkedin.com/pulse/keras-ne\xe2\x80\xa6'}] 4 0.0%
 
Other values (102) 142 0.1%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_entities_user_mentions
Categorical

Distinct count 73
Unique (%) 5.2%
Missing (%) 98.6%
Missing (n) 96983
[]
 
1283
[{u'indices': [0, 7], u'screen_name': u'NWSSPC', u'id': 586909317, u'name': u'NWS SPC', u'id_str': u'586909317'}]
 
7
[{u'indices': [18, 27], u'screen_name': u'PyGotham', u'id': 339550132, u'name': u'PyGotham', u'id_str': u'339550132'}]
 
6
Other values (69)
 
114
(Missing)
96983
Value Count Frequency (%)  
[] 1283 1.3%
 
[{u'indices': [0, 7], u'screen_name': u'NWSSPC', u'id': 586909317, u'name': u'NWS SPC', u'id_str': u'586909317'}] 7 0.0%
 
[{u'indices': [18, 27], u'screen_name': u'PyGotham', u'id': 339550132, u'name': u'PyGotham', u'id_str': u'339550132'}] 6 0.0%
 
[{u'indices': [0, 14], u'id': 203332110, u'id_str': u'203332110', u'name': u'World Bank Data', u'screen_name': u'worldbankdata'}] 6 0.0%
 
[{u'indices': [10, 22], u'screen_name': u'tom_e_white', u'id': 28835645, u'name': u'Tom White', u'id_str': u'28835645'}] 5 0.0%
 
[{u'indices': [53, 68], u'id_str': u'38420029', u'screen_name': u'ruudGyaLouLou_', u'name': u'LouLou Davids2131', u'id': 38420029}, {u'indices': [69, 82], u'id_str': u'378627265', u'screen_name': u'official2131', u'name': u'#TOTOGEAR', u'id': 378627265}, {u'indices': [83, 95], u'id_str': u'599240412', u'screen_name': u'warninokine', u'name': u'Warnin Gee', u'id': 599240412}, {u'indices': [96, 105], u'id_str': u'1153684752', u'screen_name': u'sai_mary', u'name': u'troublesome _2131', u'id': 1153684752}] 5 0.0%
 
[{u'indices': [64, 80], u'id_str': u'2303751216', u'screen_name': u'FiveThirtyEight', u'name': u'FiveThirtyEight', u'id': 2303751216}, {u'indices': [81, 91], u'id_str': u'19434396', u'screen_name': u'docrostov', u'name': u'Aaron McGuire', u'id': 19434396}, {u'indices': [92, 101], u'id_str': u'77810367', u'screen_name': u'octonion', u'name': u'Christopher D. Long', u'id': 77810367}, {u'indices': [102, 113], u'id_str': u'237254045', u'screen_name': u'treycausey', u'name': u'Trey Causey', u'id': 237254045}] 5 0.0%
 
[{u'indices': [101, 115], u'screen_name': u'TechBeaconCom', u'id': 3014369394, u'name': u'TechBeacon', u'id_str': u'3014369394'}] 4 0.0%
 
[{u'indices': [0, 9], u'id_str': u'12953262', u'screen_name': u'mkennedy', u'name': u'Michael Kennedy', u'id': 12953262}] 4 0.0%
 
[{u'indices': [0, 15], u'screen_name': u'all_about_code', u'id': 2859474053, u'name': u'All About Code', u'id_str': u'2859474053'}] 3 0.0%
 
[{u'indices': [0, 11], u'screen_name': u'iMargo_CEO', u'id': 25163104, u'name': u'Gladiator Goldwyn', u'id_str': u'25163104'}] 3 0.0%
 
[{u'indices': [3, 11], u'id_str': u'18406335', u'screen_name': u'dogvile', u'name': u'dogvile', u'id': 18406335}, {u'indices': [86, 96], u'id_str': u'15426758', u'screen_name': u'infoworld', u'name': u'InfoWorld', u'id': 15426758}] 3 0.0%
 
[{u'indices': [5, 17], u'screen_name': u'TheIronYard', u'id': 576311383, u'name': u'The Iron Yard', u'id_str': u'576311383'}] 3 0.0%
 
[{u'indices': [43, 49], u'screen_name': u'nylas', u'id': 1380814200, u'name': u'Nylas', u'id_str': u'1380814200'}] 3 0.0%
 
[{u'indices': [71, 83], u'id_str': u'112464786', u'screen_name': u'SASsoftware', u'name': u'SAS Software', u'id': 112464786}, {u'indices': [84, 97], u'id_str': u'103667704', u'screen_name': u'SASanalytics', u'name': u'SASanalytics', u'id': 103667704}, {u'indices': [98, 113], u'id_str': u'2460368252', u'screen_name': u'ProjectJupyter', u'name': u'Project Jupyter', u'id': 2460368252}] 2 0.0%
 
[{u'indices': [77, 84], u'screen_name': u'KSiutz', u'id': 2865036593, u'name': u'Kiya Siutz', u'id_str': u'2865036593'}, {u'indices': [91, 103], u'screen_name': u'_michael_av', u'id': 929055372, u'name': u'Michael', u'id_str': u'929055372'}] 2 0.0%
 
[{u'indices': [0, 15], u'screen_name': u'dominicfelix10', u'id': 594845061, u'name': u'Dominic Felix', u'id_str': u'594845061'}, {u'indices': [38, 53], u'screen_name': u'Abraham_Habtom', u'id': 1357774098, u'name': u'King TROUP', u'id_str': u'1357774098'}] 2 0.0%
 
[{u'indices': [20, 27], u'screen_name': u'MLconf', u'id': 544916703, u'name': u'MLconf', u'id_str': u'544916703'}] 2 0.0%
 
[{u'indices': [51, 64], u'screen_name': u'plotlygraphs', u'id': 1392826357, u'name': u'plotly', u'id_str': u'1392826357'}] 2 0.0%
 
[{u'indices': [0, 12], u'id_str': u'42499983', u'screen_name': u'AnneBillson', u'name': u'Anne Billson', u'id': 42499983}] 2 0.0%
 
Other values (52) 58 0.1%
 
(Missing) 96983 98.6%
 

retweeted_status_quoted_status_favorite_count
Numeric

Distinct count 75
Unique (%) 5.3%
Missing (%) 98.6%
Missing (n) 96981
Mean 128.68
Minimum 0
Maximum 22699
Zeros (%) 0.1%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 22699
Range 22699
Interquartile range

Descriptive statistics

Standard deviation 641.99
Coef of variation 4.9892
Kurtosis 1088.9
Mean 128.68
MAD 81.047
Skewness 31.483
Sum 181690
Variance 412150
Memory size 768.8 KiB

retweeted_status_quoted_status_favorited
Categorical

Distinct count 2
Unique (%) 0.1%
Missing (%) 98.6%
Missing (n) 96981
False
 
1412
(Missing)
96981
Value Count Frequency (%)  
False 1412 1.4%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_id
Numeric

Distinct count 220
Unique (%) 0.2%
Missing (%) 1.1%
Missing (n) 1110
Mean 1.055e+16
Minimum -1
Maximum 7.2751e+17
Zeros (%) 0.0%

Quantile statistics

Minimum -1
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2751e+17
Range 7.2751e+17
Interquartile range

Descriptive statistics

Standard deviation 8.6744e+16
Coef of variation 8.2225
Kurtosis 63.637
Mean 1.055e+16
MAD 2.0792e+16
Skewness 8.1014
Sum 1.0263e+21
Variance 7.5246e+33
Memory size 768.8 KiB

retweeted_status_quoted_status_id_str
Highly correlated

This variable is highly correlated with retweeted_status_quoted_status_id and should be ignored for analysis

Correlation 1

retweeted_status_quoted_status_is_quote_status
Categorical

Distinct count 3
Unique (%) 0.2%
Missing (%) 98.6%
Missing (n) 96981
False
 
1400
True
 
12
(Missing)
96981
Value Count Frequency (%)  
False 1400 1.4%
 
True 12 0.0%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_lang
Categorical

Distinct count 7
Unique (%) 0.5%
Missing (%) 98.6%
Missing (n) 96981
en
 
1396
und
 
7
ro
 
4
Other values (3)
 
5
(Missing)
96981
Value Count Frequency (%)  
en 1396 1.4%
 
und 7 0.0%
 
ro 4 0.0%
 
tl 2 0.0%
 
in 2 0.0%
 
uk 1 0.0%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_metadata_iso_language_code
Categorical

Distinct count 2
Unique (%) 0.1%
Missing (%) 98.6%
Missing (n) 96981
en
 
1412
(Missing)
96981
Value Count Frequency (%)  
en 1412 1.4%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_metadata_result_type
Categorical

Distinct count 2
Unique (%) 0.1%
Missing (%) 98.6%
Missing (n) 96981
recent
 
1412
(Missing)
96981
Value Count Frequency (%)  
recent 1412 1.4%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_place_bounding_box_coordinates
Categorical

Distinct count 12
Unique (%) 1.2%
Missing (%) 99.0%
Missing (n) 97425
[[[76.84252, 28.397657], [77.347652, 28.397657], [77.347652, 28.879322], [76.84252, 28.879322]]]
 
947
[[[-46.702073, -23.626481], [-46.6686213, -23.626481], [-46.6686213, -23.576938], [-46.702073, -23.576938]]]
 
5
[[[-97.740086, 30.263577], [-97.740086, 30.263577], [-97.740086, 30.263577], [-97.740086, 30.263577]]]
 
4
Other values (8)
 
12
(Missing)
97425
Value Count Frequency (%)  
[[[76.84252, 28.397657], [77.347652, 28.397657], [77.347652, 28.879322], [76.84252, 28.879322]]] 947 1.0%
 
[[[-46.702073, -23.626481], [-46.6686213, -23.626481], [-46.6686213, -23.576938], [-46.702073, -23.576938]]] 5 0.0%
 
[[[-97.740086, 30.263577], [-97.740086, 30.263577], [-97.740086, 30.263577], [-97.740086, 30.263577]]] 4 0.0%
 
[[[-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719], [-77.02294335, 38.9041435719]]] 3 0.0%
 
[[[101.7311096, 3.1498865], [101.8491089, 3.1498865], [101.8491089, 3.2976676], [101.7311096, 3.2976676]]] 2 0.0%
 
[[[151.20053784, -33.84515403], [151.21862784, -33.84515403], [151.21862784, -33.82808004], [151.20053784, -33.82808004]]] 2 0.0%
 
[[[-80.297165, 25.627038], [-80.245009, 25.627038], [-80.245009, 25.771859], [-80.297165, 25.771859]]] 1 0.0%
 
[[[-122.077393234, 37.414524681], [-122.077393234, 37.414524681], [-122.077393234, 37.414524681], [-122.077393234, 37.414524681]]] 1 0.0%
 
[[[-95.608956, 33.626723], [-95.487483, 33.626723], [-95.487483, 33.701138], [-95.608956, 33.701138]]] 1 0.0%
 
[[[-122.7900653, 45.421863], [-122.471751, 45.421863], [-122.471751, 45.6509405], [-122.7900653, 45.6509405]]] 1 0.0%
 
[[[22.1357201, 44.386383], [40.227172, 44.386383], [40.227172, 52.379475], [22.1357201, 52.379475]]] 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_bounding_box_type
Categorical

Distinct count 2
Unique (%) 0.2%
Missing (%) 99.0%
Missing (n) 97425
Polygon
 
968
(Missing)
97425
Value Count Frequency (%)  
Polygon 968 1.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_contained_within
Categorical

Distinct count 2
Unique (%) 0.2%
Missing (%) 99.0%
Missing (n) 97425
[]
 
968
(Missing)
97425
Value Count Frequency (%)  
[] 968 1.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_country
Categorical

Distinct count 7
Unique (%) 0.7%
Missing (%) 99.0%
Missing (n) 97425
'\xe0\xa4\xad\xe0\xa4\xbe\xe0\xa4\xb0\xe0\xa4\xa4'
 
947
United States
 
11
Brasil
 
5
Other values (3)
 
5
(Missing)
97425
Value Count Frequency (%)  
'\xe0\xa4\xad\xe0\xa4\xbe\xe0\xa4\xb0\xe0\xa4\xa4' 947 1.0%
 
United States 11 0.0%
 
Brasil 5 0.0%
 
Malaysia 2 0.0%
 
Australia 2 0.0%
 
'\xd0\xa3\xd0\xba\xd1\x80\xd0\xb0\xd1\x97\xd0\xbd\xd0\xb0' 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_country_code
Categorical

Distinct count 7
Unique (%) 0.7%
Missing (%) 99.0%
Missing (n) 97425
IN
 
947
US
 
11
BR
 
5
Other values (3)
 
5
(Missing)
97425
Value Count Frequency (%)  
IN 947 1.0%
 
US 11 0.0%
 
BR 5 0.0%
 
AU 2 0.0%
 
MY 2 0.0%
 
UA 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_full_name
Categorical

Distinct count 11
Unique (%) 1.1%
Missing (%) 99.0%
Missing (n) 97430
New Delhi, India
 
947
Austin Convention Center
 
4
Walter E. Washington Convention Center
 
3
Other values (7)
 
9
(Missing)
97430
Value Count Frequency (%)  
New Delhi, India 947 1.0%
 
Austin Convention Center 4 0.0%
 
Walter E. Washington Convention Center 3 0.0%
 
North Sydney, Sydney 2 0.0%
 
Ulu Kelang, Selangor 2 0.0%
 
Portland, OR 1 0.0%
 
Coral Gables, FL 1 0.0%
 
Paris, TX 1 0.0%
 
Ukraine 1 0.0%
 
Computer History Museum 1 0.0%
 
(Missing) 97430 99.0%
 

retweeted_status_quoted_status_place_id
Categorical

Distinct count 12
Unique (%) 1.2%
Missing (%) 99.0%
Missing (n) 97425
317fcc4b21a604d5
 
947
5e6560355f7dfe0d
 
5
07d9e38710082001
 
4
Other values (8)
 
12
(Missing)
97425
Value Count Frequency (%)  
317fcc4b21a604d5 947 1.0%
 
5e6560355f7dfe0d 5 0.0%
 
07d9e38710082001 4 0.0%
 
07d9e3a18b488000 3 0.0%
 
cb6912ca33266c43 2 0.0%
 
1f7cbf27412413af 2 0.0%
 
603d21ec6e733f7f 1 0.0%
 
084d0d0155787e9d 1 0.0%
 
07d9c9346c081000 1 0.0%
 
ac88a4f17a51c7fc 1 0.0%
 
778af41ffb719450 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_name
Categorical

Distinct count 12
Unique (%) 1.2%
Missing (%) 99.0%
Missing (n) 97425
New Delhi
 
947
Itaim Bibi
 
5
Austin Convention Center
 
4
Other values (8)
 
12
(Missing)
97425
Value Count Frequency (%)  
New Delhi 947 1.0%
 
Itaim Bibi 5 0.0%
 
Austin Convention Center 4 0.0%
 
Walter E. Washington Convention Center 3 0.0%
 
Ulu Kelang 2 0.0%
 
North Sydney 2 0.0%
 
Portland 1 0.0%
 
Paris 1 0.0%
 
Ukraine 1 0.0%
 
Coral Gables 1 0.0%
 
Computer History Museum 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_place_type
Categorical

Distinct count 5
Unique (%) 0.5%
Missing (%) 99.0%
Missing (n) 97425
city
 
952
poi
 
8
neighborhood
 
7
(Missing)
97425
Value Count Frequency (%)  
city 952 1.0%
 
poi 8 0.0%
 
neighborhood 7 0.0%
 
country 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_place_url
Categorical

Distinct count 12
Unique (%) 1.2%
Missing (%) 99.0%
Missing (n) 97425
https://api.twitter.com/1.1/geo/id/317fcc4b21a604d5.json
 
947
https://api.twitter.com/1.1/geo/id/5e6560355f7dfe0d.json
 
5
https://api.twitter.com/1.1/geo/id/07d9e38710082001.json
 
4
Other values (8)
 
12
(Missing)
97425
Value Count Frequency (%)  
https://api.twitter.com/1.1/geo/id/317fcc4b21a604d5.json 947 1.0%
 
https://api.twitter.com/1.1/geo/id/5e6560355f7dfe0d.json 5 0.0%
 
https://api.twitter.com/1.1/geo/id/07d9e38710082001.json 4 0.0%
 
https://api.twitter.com/1.1/geo/id/07d9e3a18b488000.json 3 0.0%
 
https://api.twitter.com/1.1/geo/id/cb6912ca33266c43.json 2 0.0%
 
https://api.twitter.com/1.1/geo/id/1f7cbf27412413af.json 2 0.0%
 
https://api.twitter.com/1.1/geo/id/603d21ec6e733f7f.json 1 0.0%
 
https://api.twitter.com/1.1/geo/id/778af41ffb719450.json 1 0.0%
 
https://api.twitter.com/1.1/geo/id/084d0d0155787e9d.json 1 0.0%
 
https://api.twitter.com/1.1/geo/id/ac88a4f17a51c7fc.json 1 0.0%
 
https://api.twitter.com/1.1/geo/id/07d9c9346c081000.json 1 0.0%
 
(Missing) 97425 99.0%
 

retweeted_status_quoted_status_possibly_sensitive
Categorical

Distinct count 3
Unique (%) 0.2%
Missing (%) 98.7%
Missing (n) 97099
False
 
1293
True
 
1
(Missing)
97099
Value Count Frequency (%)  
False 1293 1.3%
 
True 1 0.0%
 
(Missing) 97099 98.7%
 

retweeted_status_quoted_status_retweet_count
Highly correlated

This variable is highly correlated with retweeted_status_quoted_status_favorite_count and should be ignored for analysis

Correlation 0.99487

retweeted_status_quoted_status_retweeted
Categorical

Distinct count 2
Unique (%) 0.1%
Missing (%) 98.6%
Missing (n) 96981
False
 
1412
(Missing)
96981
Value Count Frequency (%)  
False 1412 1.4%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_source
Categorical

Distinct count 28
Unique (%) 2.0%
Missing (%) 98.6%
Missing (n) 96981
Twitter Web Client
 
1101
Twitter for iPhone
 
88
TweetDeck
 
47
Other values (24)
 
176
(Missing)
96981
Value Count Frequency (%)  
Twitter Web Client 1101 1.1%
 
Twitter for iPhone 88 0.1%
 
TweetDeck 47 0.0%
 
Tweetbot for Mac 41 0.0%
 
Twitter for Android 35 0.0%
 
Hootsuite 30 0.0%
 
Buffer 25 0.0%
 
Twitter for iPad 6 0.0%
 
Radian6 -Social Media Management 5 0.0%
 
IFTTT 4 0.0%
 
twitterfeed 4 0.0%
 
Sprout Social 3 0.0%
 
Data Pakistan 3 0.0%
 
newsycombinator 3 0.0%
 
WordPress.com 3 0.0%
 
Twitter for Mac 2 0.0%
 
Spredfast app 2 0.0%
 
Medium 1 0.0%
 
Sprinklr 1 0.0%
 
HubSpot 1 0.0%
 
Other values (7) 7 0.0%
 
(Missing) 96981 98.6%
 

retweeted_status_quoted_status_text
Categorical

Distinct count 185
Unique (%) 13.8%
Missing (%) 98.6%
Missing (n) 97055
IITs have been asked to teach Sanskrit: Smriti Irani https://t.co/LYew7hBvJA https://t.co/7eFucdjpmP
 
947
Part 6, about data visualization: https://t.co/Zjn0h9cvTy https://t.co/PoDO98Fp8x
 
21
One of my best mates at uni had a pet Python. They mad chill https://t.co/iyPVzSWZDk
 
16
Other values (181)
 
354
(Missing)
97055
Value Count Frequency (%)  
IITs have been asked to teach Sanskrit: Smriti Irani https://t.co/LYew7hBvJA https://t.co/7eFucdjpmP 947 1.0%
 
Part 6, about data visualization: https://t.co/Zjn0h9cvTy https://t.co/PoDO98Fp8x 21 0.0%
 
One of my best mates at uni had a pet Python. They mad chill https://t.co/iyPVzSWZDk 16 0.0%
 
New post: "conda-forge and PyData's CentOS moment" https://t.co/zJrYoOTkQx #pydata 11 0.0%
 
I've been trying PyData the last 1-2 years, but will keep using #rstats for a while. https://t.co/MvsN1vwgXC 10 0.0%
 
Just released my #Python course. Short, to the point and primes you for learning Python for OSINT: https://t.co/m3SkZoGNUQ 9 0.0%
 
Want to learn #HTML #CSS & #Python this summer? Apply for our Summer Intensive course now! https://t.co/mIbtYxQ7Sq https://t.co/0DanixM4FH 7 0.0%
 
@NWSSPC #askSPC How can software developers help with weather software in the open source community? Do you use open source tech? 7 0.0%
 
@worldbankdata :) library("WDI") WDI(country = "ET", indicator = "SP.POP.TOTL", start = 2014, end = 2015, extra = FALSE, cache = NULL) 6 0.0%
 
There are still spots available for my #Python webinar tomorrow: https://t.co/YrEJJSfalx 6 0.0%
 
After a year of using NodeJS in production https://t.co/YQ3C1OivjK 6 0.0%
 
Data Scientists are you really just Data Janitors? #datascience #data https://t.co/vyzhKgcXG6 6 0.0%
 
Is this the week you learn Python for real? Check out my new course Python Jumpstart by Building 10 Apps https://t.co/VhPK7UrA3Y 6 0.0%
 
Just submitted my @PyGotham talk proposal! 6 0.0%
 
NEW VIDEO!! Get excited for decision trees. https://t.co/UJqeOia6CW https://t.co/HOenulFPUi 5 0.0%
 
Learn why @tom_e_white's #Hadoop the Definitive Guide is listed as 1 of 10 books rec'd to boost your #bigdata career https://t.co/4Tdagcszbx 5 0.0%
 
Peter Norvig: Will the Warriors Win? https://t.co/6Em1jt1r4u cc @FiveThirtyEight @docrostov @octonion @treycausey 5 0.0%
 
Beaker Lab (alpha) has just been released. Now you can use Beaker directly in the cloud. Check it out at https://t.co/k9FFfIMZBN 5 0.0%
 
#2131wetandwild ROYAL SENCHI WHO IS READY 27/05/16 @ruudGyaLouLou_ @official2131 @warninokine @sai_mary https://t.co/dduSMWoMyR 5 0.0%
 
This is a belter. https://t.co/X8IRRmQPgT 4 0.0%
 
Other values (164) 245 0.2%
 
(Missing) 97055 98.6%
 

retweeted_status_quoted_status_truncated
Categorical

Distinct count 2
Unique (%) 0.1%
Missing (%) 98.6%
Missing (n) 96981
False
 
1412
(Missing)
96981
Value Count Frequency (%)  
False 1412 1.4%
 
(Missing) 96981 98.6%
 

retweeted_status_retweet_count
Highly correlated

This variable is highly correlated with retweeted_status_favorite_count and should be ignored for analysis

Correlation 0.95171

retweeted_status_retweeted
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
34564
(Missing)
63829
Value Count Frequency (%)  
False 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_source
Categorical

Distinct count 527
Unique (%) 1.5%
Missing (%) 65.1%
Missing (n) 64013
Twitter Web Client
 
8636
Hootsuite
 
3408
Twitter for Android
 
3403
Other values (523)
18933
(Missing)
64013
Value Count Frequency (%)  
Twitter Web Client 8636 8.8%
 
Hootsuite 3408 3.5%
 
Twitter for Android 3403 3.5%
 
Twitter for iPhone 3349 3.4%
 
Buffer 3196 3.2%
 
TweetDeck 2342 2.4%
 
IFTTT 1507 1.5%
 
dlvr.it 548 0.6%
 
twitterfeed 449 0.5%
 
Google 410 0.4%
 
Tweetbot for Mac 336 0.3%
 
Sprout Social 327 0.3%
 
Twitter for Mac 319 0.3%
 
VoiceStorm 281 0.3%
 
Python Trending 258 0.3%
 
Twitter for iPad 252 0.3%
 
jobfindly python jobs 224 0.2%
 
Facebook 205 0.2%
 
RightRelevanceTweetApp 193 0.2%
 
SocialFlow 190 0.2%
 
Other values (506) 4547 4.6%
 
(Missing) 64013 65.1%
 

retweeted_status_text
Categorical

Distinct count 9940
Unique (%) 32.2%
Missing (%) 68.7%
Missing (n) 67571
One should understand Sanskrit is the only language which can compete with C++, Java, SOL, Python, Javascript...1/2 https://t.co/QhYq3PcuZy
 
944
All computers in India using languages like C+, Java, SOL, Python..should b declared antinational once IITians learn working in sanskrit.2/2
 
865
Rmbr d friendly python? Dis could've been of him (its not) Bt did V need to take a life? #CallOfTheWild #SaveTheWild https://t.co/uMhFFIHrbo
 
308
Other values (9936)
28705
(Missing)
67571
Value Count Frequency (%)  
One should understand Sanskrit is the only language which can compete with C++, Java, SOL, Python, Javascript...1/2 https://t.co/QhYq3PcuZy 944 1.0%
 
All computers in India using languages like C+, Java, SOL, Python..should b declared antinational once IITians learn working in sanskrit.2/2 865 0.9%
 
Rmbr d friendly python? Dis could've been of him (its not) Bt did V need to take a life? #CallOfTheWild #SaveTheWild https://t.co/uMhFFIHrbo 308 0.3%
 
#Google has started a new #Python #MachineLearning course on YouTube. #sklearn https://t.co/WDFEUdyrbS https://t.co/aoMntyJudr 290 0.3%
 
Big Snake Fight | Snake Fight Till Death | Cobra Vs Python Vs Anaconda https://t.co/m4576sRH5a 220 0.2%
 
Ubuntu 16.04 LTS released with #Python 3.5 as standard, rather than Python 2.7! Progress! https://t.co/0dEyFM6sVd https://t.co/sYkjvn7hzu 171 0.2%
 
Python Custom Yeezy 350 Boosts https://t.co/qpdP0DUKAu 150 0.2%
 
Microservices and Python | DevOpsSummit #DevOps #IoT #Microservices https://t.co/99ttVa37RC #Cloud 145 0.1%
 
Guy: *points at my shirt* there should be a semicolon at the end Me: it's Python 133 0.1%
 
How I defeated an obfuscated and anti-tamper APK with some Python and a home-made Smali emulator. https://t.co/qhwzvuhl1t 111 0.1%
 
Awesome Python : A curated list of awesome Python frameworks, packages, software and resources : https://t.co/IW0kXRWfom 105 0.1%
 
ICYMI: A simple Python script which will fetch credentials and list proxies for #Opera #VPN https://t.co/1kG77yMvJ2 https://t.co/y8YXIvM57S 97 0.1%
 
Today's #coloroftheday is High Risk Red. #TravelTuesday inspiration by Scarlet Starlet: https://t.co/mO4MqPAzTX https://t.co/BjAO7UXyj2 96 0.1%
 
Calling all programmers! Challenge yourself w/ #Electricity4All challenge https://t.co/TLsTPzBGel via @UN_UniteIdeas https://t.co/Tn9trH2Nih 95 0.1%
 
The Zen of #Python, illustrated. #programming https://t.co/AebCARp3iO https://t.co/TRNOy1vJXi 93 0.1%
 
Great blogs to read | #Python #Psychology https://t.co/afz3mNeaif 92 0.1%
 
Why #MachineLearning with #Python is the best combination: https://t.co/hOdcRLTG0k #abdsc #BigData #DataScience https://t.co/TK8DqOw04E 89 0.1%
 
Useful #programming tutorial: Understanding #Python metaclasses. https://t.co/elmV7H8Hm8 https://t.co/IO7RTTiqWB 84 0.1%
 
Learn how to dig into all sorts of tech -- ranging from the Xbox to Arduino to Python to Bitcoin! https://t.co/F9WgHsGkgm 84 0.1%
 
New post from @_samdb_ on WinDbg scripting with python and Windows heap tracing https://t.co/msqJ775MbI https://t.co/8pcxzepzJX 78 0.1%
 
Other values (9919) 26572 27.0%
 
(Missing) 67571 68.7%
 

retweeted_status_truncated
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
34564
(Missing)
63829
Value Count Frequency (%)  
False 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_user_contributors_enabled
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
34564
(Missing)
63829
Value Count Frequency (%)  
False 34564 35.1%
 
(Missing) 63829 64.9%
 

retweeted_status_user_created_at
Categorical

Distinct count 6486
Unique (%) 18.8%
Missing (%) 64.9%
Missing (n) 63829
Sat Apr 11 07:28:46 +0000 2009
 
1809
Sun Jun 21 20:13:18 +0000 2009
 
885
Fri Mar 23 16:35:17 +0000 2012
 
702
Other values (6482)
31168
(Missing)
63829
Value Count Frequency (%)  
Sat Apr 11 07:28:46 +0000 2009 1809 1.8%
 
Sun Jun 21 20:13:18 +0000 2009 885 0.9%
 
Fri Mar 23 16:35:17 +0000 2012 702 0.7%
 
Wed Mar 19 05:26:29 +0000 2008 661 0.7%
 
Thu Feb 05 17:37:26 +0000 2009 481 0.5%
 
Wed Sep 14 22:49:27 +0000 2011 362 0.4%
 
Sat Jan 23 21:48:14 +0000 2016 308 0.3%
 
Tue Aug 25 00:34:00 +0000 2015 263 0.3%
 
Tue Apr 15 18:21:07 +0000 2014 258 0.3%
 
Fri Mar 06 17:16:03 +0000 2009 252 0.3%
 
Wed Dec 23 16:22:14 +0000 2015 224 0.2%
 
Fri Apr 01 14:02:16 +0000 2016 220 0.2%
 
Wed Feb 04 22:35:11 +0000 2015 200 0.2%
 
Mon May 28 23:01:25 +0000 2012 194 0.2%
 
Thu Oct 21 17:45:18 +0000 2010 193 0.2%
 
Thu Nov 20 02:03:11 +0000 2014 188 0.2%
 
Tue Aug 14 15:34:21 +0000 2012 176 0.2%
 
Tue Jun 01 22:38:53 +0000 2010 173 0.2%
 
Fri Jan 28 00:45:00 +0000 2011 170 0.2%
 
Sun Feb 20 01:07:23 +0000 2011 165 0.2%
 
Other values (6465) 26680 27.1%
 
(Missing) 63829 64.9%
 

retweeted_status_user_default_profile
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
23067
True
 
11497
(Missing)
63829
Value Count Frequency (%)  
False 23067 23.4%
 
True 11497 11.7%
 
(Missing) 63829 64.9%
 

retweeted_status_user_default_profile_image
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
34354
True
 
210
(Missing)
63829
Value Count Frequency (%)  
False 34354 34.9%
 
True 210 0.2%
 
(Missing) 63829 64.9%
 

retweeted_status_user_description
Categorical

Distinct count 5307
Unique (%) 18.3%
Missing (%) 70.6%
Missing (n) 69449
Not sure if I'm a politician, activist, reader, writer, journalist or.. But I'm an Indian. I like Gandhi, because he always moved ahead of his own identity
 
1809
#AI & #MachineLearning researcher. Data tinkerer. Community leader for @DataIsBeautiful. Support my blog: https://t.co/cpRqH03lVP
 
885
Big data, machine learning, predictive modeling, R, Hadoop, Python, business analytics, data mining, IoT and operations research: resources, tutorials and more.
 
661
Other values (5303)
25589
(Missing)
69449
Value Count Frequency (%)  
Not sure if I'm a politician, activist, reader, writer, journalist or.. But I'm an Indian. I like Gandhi, because he always moved ahead of his own identity 1809 1.8%
 
#AI & #MachineLearning researcher. Data tinkerer. Community leader for @DataIsBeautiful. Support my blog: https://t.co/cpRqH03lVP 885 0.9%
 
Big data, machine learning, predictive modeling, R, Hadoop, Python, business analytics, data mining, IoT and operations research: resources, tutorials and more. 661 0.7%
 
KDnuggets President, #Analytics, #BigData, #DataMining, #DataScience expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher. 481 0.5%
 
Python Weekly is a free weekly newsletter, which features curated news, articles, new releases, tools and libraries, events, jobs etc related to Python 362 0.4%
 
Model (ROCK Calendar Model Pageant Winner - 2012) & New York fiction Author [ NYC - Chicago - Paris - England ] 308 0.3%
 
tweeting trending Python repositories on GitHub 258 0.3%
 
Linux Evangelist, Malwares ,Kernel dev. Security enthusiast,Jain,Philanthropist & reformist. 252 0.3%
 
View all available Python Developer jobs from company sites, job boards and the web at https://t.co/X9YF9QW4pC - thousands of new jobs added daily! 224 0.2%
 
Bringing together the global data science community to help foster the exchange of innovative ideas and encourage the growth of open source software. 200 0.2%
 
#FOSS Developer and Data Scientist #Android Developer #Gaming #PostgreSQL DBA 193 0.2%
 
Live content curated by top Python Influencers 188 0.2%
 
The BEST Tech Jobs in California, Period. Careers for: #Backend, #Fullstack, #DataScience, #Android + many more. Post your Job - https://t.co/Az4W3JfVDi 177 0.2%
 
Technology Consultant, Graphic Designer, Musician, Composer, Software Programmer, Mobile Application, Unity 3D Programmer, VR Dev 176 0.2%
 
Java developers resource center. JCGs is one of the fastest growing Java developers community on the net. Created by Java developers for Java developers 173 0.2%
 
polymath poser pontificating personal thoughts from #PDX. From brain.gyrus import #Akkadtum, #Python...#CloudOps #DevOps #IoT #SyntheticData #Cognition #infosec 170 0.2%
 
Tweets about SciPy (Scientific Python) and related topics from @JohnDCook. 165 0.2%
 
Official twitter account of #UnitedNations. Get the latest information on the #UN. #GlobalGoals 164 0.2%
 
#Website for #developers and #IT enthusiasts. #IT #community of new generation. 162 0.2%
 
Python 3 Packages and Modules on pypi - As it Happens. 157 0.2%
 
Other values (5286) 21779 22.1%
 
(Missing) 69449 70.6%
 

retweeted_status_user_entities_description_urls
Categorical

Distinct count 706
Unique (%) 2.1%
Missing (%) 65.3%
Missing (n) 64206
[]
29099
[{u'url': u'https://t.co/cpRqH03lVP', u'indices': [106, 129], u'expanded_url': u'http://patreon.com/randal_olson', u'display_url': u'patreon.com/randal_olson'}]
 
652
[{u'url': u'https://t.co/f4gsbNc00C', u'indices': [118, 141], u'expanded_url': u'http://rocketdatascience.org/', u'display_url': u'rocketdatascience.org'}]
 
627
Other values (702)
 
3809
(Missing)
64206
Value Count Frequency (%)  
[] 29099 29.6%
 
[{u'url': u'https://t.co/cpRqH03lVP', u'indices': [106, 129], u'expanded_url': u'http://patreon.com/randal_olson', u'display_url': u'patreon.com/randal_olson'}] 652 0.7%
 
[{u'url': u'https://t.co/f4gsbNc00C', u'indices': [118, 141], u'expanded_url': u'http://rocketdatascience.org/', u'display_url': u'rocketdatascience.org'}] 627 0.6%
 
[{u'indices': [106, 129], u'url': u'https://t.co/cpRqH03lVP', u'expanded_url': u'http://patreon.com/randal_olson', u'display_url': u'patreon.com/randal_olson'}] 233 0.2%
 
[{u'url': u'https://t.co/X9YF9QW4pC', u'indices': [87, 110], u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}] 179 0.2%
 
[{u'url': u'https://t.co/Az4W3JfVDi', u'indices': [130, 153], u'expanded_url': u'http://www.JobHero.io', u'display_url': u'JobHero.io'}] 150 0.2%
 
[{u'url': u'http://t.co/2DOrg6oXi8', u'indices': [55, 77], u'expanded_url': u'http://danstoncloud.com', u'display_url': u'danstoncloud.com'}] 145 0.1%
 
[{u'url': u'https://t.co/Pip0u8gh5G', u'indices': [126, 149], u'expanded_url': u'http://www.craigbrownphd.com', u'display_url': u'craigbrownphd.com'}] 125 0.1%
 
[{u'url': u'http://t.co/QVTIJZCdlx', u'indices': [106, 128], u'expanded_url': u'http://PentesterAcademy.com', u'display_url': u'PentesterAcademy.com'}, {u'url': u'http://t.co/0vm0BnkqLa', u'indices': [132, 154], u'expanded_url': u'http://Securitytube-Training.com', u'display_url': u'Securitytube-Training.com'}] 101 0.1%
 
[{u'url': u'http://t.co/mbTSujJ23b', u'indices': [46, 68], u'expanded_url': u'http://kofapp.com', u'display_url': u'kofapp.com'}] 80 0.1%
 
[{u'url': u'http://t.co/16QGv879Ew', u'indices': [97, 119], u'expanded_url': u'http://www.thesillywalk.com', u'display_url': u'thesillywalk.com'}] 75 0.1%
 
[{u'indices': [118, 141], u'url': u'https://t.co/f4gsbNc00C', u'expanded_url': u'http://rocketdatascience.org/', u'display_url': u'rocketdatascience.org'}] 75 0.1%
 
[{u'url': u'http://t.co/MCO6KA0oGG', u'indices': [0, 22], u'expanded_url': u'http://www.kitploit.com', u'display_url': u'kitploit.com'}] 68 0.1%
 
[{u'url': u'http://t.co/PAZvNciaIO', u'indices': [138, 160], u'expanded_url': u'http://Gamification.ir', u'display_url': u'Gamification.ir'}] 54 0.1%
 
[{u'url': u'http://t.co/olzt8M25oa', u'indices': [43, 65], u'expanded_url': u'http://opensource.com', u'display_url': u'opensource.com'}] 52 0.1%
 
[{u'url': u'https://t.co/4ZEpUIjMlb', u'indices': [25, 48], u'expanded_url': u'http://importpython.com', u'display_url': u'importpython.com'}] 46 0.0%
 
[{u'url': u'https://t.co/yEkRurxH5V', u'indices': [103, 126], u'expanded_url': u'https://www.instagram.com/rafred10/', u'display_url': u'instagram.com/rafred10/'}] 45 0.0%
 
[{u'indices': [87, 110], u'url': u'https://t.co/X9YF9QW4pC', u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}] 45 0.0%
 
[{u'indices': [86, 109], u'url': u'https://t.co/nkTEEYM5ed', u'expanded_url': u'http://earthobservatory.nasa.gov', u'display_url': u'earthobservatory.nasa.gov'}] 44 0.0%
 
[{u'url': u'https://t.co/dzhnHtgKhC', u'indices': [0, 23], u'expanded_url': u'http://misspeachy.com', u'display_url': u'misspeachy.com'}] 43 0.0%
 
Other values (685) 2249 2.3%
 
(Missing) 64206 65.3%
 

retweeted_status_user_entities_url_urls
Categorical

Distinct count 4563
Unique (%) 20.3%
Missing (%) 77.1%
Missing (n) 75893
[{u'url': u'https://t.co/tpzAYxx9cq', u'indices': [0, 23], u'expanded_url': u'http://www.randalolson.com', u'display_url': u'randalolson.com'}]
 
652
[{u'url': u'https://t.co/tWlmeuTlR7', u'indices': [0, 23], u'expanded_url': u'http://www.linkedin.com/in/kirkdborne', u'display_url': u'linkedin.com/in/kirkdborne'}]
 
627
[{u'url': u'http://t.co/aWUY84onbG', u'indices': [0, 22], u'expanded_url': u'http://www.kdnuggets.com/', u'display_url': u'kdnuggets.com'}]
 
374
Other values (4559)
20847
(Missing)
75893
Value Count Frequency (%)  
[{u'url': u'https://t.co/tpzAYxx9cq', u'indices': [0, 23], u'expanded_url': u'http://www.randalolson.com', u'display_url': u'randalolson.com'}] 652 0.7%
 
[{u'url': u'https://t.co/tWlmeuTlR7', u'indices': [0, 23], u'expanded_url': u'http://www.linkedin.com/in/kirkdborne', u'display_url': u'linkedin.com/in/kirkdborne'}] 627 0.6%
 
[{u'url': u'http://t.co/aWUY84onbG', u'indices': [0, 22], u'expanded_url': u'http://www.kdnuggets.com/', u'display_url': u'kdnuggets.com'}] 374 0.4%
 
[{u'url': u'http://t.co/D1OMRitAIv', u'indices': [0, 22], u'expanded_url': u'http://www.pythonweekly.com/', u'display_url': u'pythonweekly.com'}] 347 0.4%
 
[{u'indices': [0, 23], u'url': u'https://t.co/B2AdRQDuaf', u'expanded_url': u'http://www.delilahalvares.com', u'display_url': u'delilahalvares.com'}] 308 0.3%
 
[{u'indices': [0, 23], u'url': u'https://t.co/tpzAYxx9cq', u'expanded_url': u'http://www.randalolson.com', u'display_url': u'randalolson.com'}] 233 0.2%
 
[{u'url': u'http://t.co/DivczES801', u'indices': [0, 22], u'expanded_url': u'http://www.javacodegeeks.com', u'display_url': u'javacodegeeks.com'}] 172 0.2%
 
[{u'url': u'https://t.co/wXDyVzfUM0', u'indices': [0, 23], u'expanded_url': u'http://bit.ly/JobHero', u'display_url': u'bit.ly/JobHero'}] 167 0.2%
 
[{u'url': u'http://t.co/kgJqUNDMpy', u'indices': [0, 22], u'expanded_url': u'http://www.un.org', u'display_url': u'un.org'}] 164 0.2%
 
[{u'url': u'https://t.co/UBbHYS8ReL', u'indices': [0, 23], u'expanded_url': u'http://odsc.com', u'display_url': u'odsc.com'}] 157 0.2%
 
[{u'url': u'https://t.co/Xm6V2081pG', u'indices': [0, 23], u'expanded_url': u'http://devbattles.com', u'display_url': u'devbattles.com'}] 156 0.2%
 
[{u'url': u'https://t.co/o7Zlm2tvAr', u'indices': [0, 23], u'expanded_url': u'http://alicegoldfuss.com', u'display_url': u'alicegoldfuss.com'}] 147 0.1%
 
[{u'url': u'https://t.co/iHBjgnH6dc', u'indices': [0, 23], u'expanded_url': u'https://www.facebook.com/laurent.miltgen', u'display_url': u'facebook.com/laurent.miltgen'}] 145 0.1%
 
[{u'url': u'https://t.co/NuLC7DH3ui', u'indices': [0, 23], u'expanded_url': u'http://psychopyrate.tumblr.com', u'display_url': u'psychopyrate.tumblr.com'}] 134 0.1%
 
[{u'url': u'http://t.co/PVtXT9K1OX', u'indices': [0, 22], u'expanded_url': u'http://bit.ly/1uLmkxZ', u'display_url': u'bit.ly/1uLmkxZ'}] 128 0.1%
 
[{u'url': u'https://t.co/vxXDDto9Wa', u'indices': [0, 23], u'expanded_url': u'https://www.michalspacek.cz/', u'display_url': u'michalspacek.cz'}] 123 0.1%
 
[{u'url': u'https://t.co/vtMHCfZpoO', u'indices': [0, 23], u'expanded_url': u'http://JohnDCook.com', u'display_url': u'JohnDCook.com'}] 117 0.1%
 
[{u'url': u'https://t.co/WCQmGdVwIc', u'indices': [0, 23], u'expanded_url': u'https://plot.ly/', u'display_url': u'plot.ly'}] 114 0.1%
 
[{u'url': u'http://t.co/xfZ3CeBbeY', u'indices': [0, 22], u'expanded_url': u'http://planet.python.org', u'display_url': u'planet.python.org'}] 113 0.1%
 
[{u'url': u'http://t.co/ZhoOQdg9HF', u'indices': [0, 22], u'expanded_url': u'http://RealPython.com', u'display_url': u'RealPython.com'}] 110 0.1%
 
Other values (4542) 18012 18.3%
 
(Missing) 75893 77.1%
 

retweeted_status_user_favourites_count
Numeric

Distinct count 2986
Unique (%) 8.6%
Missing (%) 64.9%
Missing (n) 63829
Mean 6556.5
Minimum 0
Maximum 424500
Zeros (%) 3.5%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 424500
Range 424500
Interquartile range

Descriptive statistics

Standard deviation 19015
Coef of variation 2.9001
Kurtosis 37.738
Mean 6556.5
MAD 9544.1
Skewness 5.0031
Sum 226620000
Variance 361570000
Memory size 768.8 KiB

retweeted_status_user_followers_count
Numeric

Distinct count 3982
Unique (%) 11.5%
Missing (%) 64.9%
Missing (n) 63829
Mean 165880
Minimum 0
Maximum 38508000
Zeros (%) 0.0%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 38508000
Range 38508000
Interquartile range

Descriptive statistics

Standard deviation 1035900
Coef of variation 6.2448
Kurtosis 370.68
Mean 165880
MAD 263780
Skewness 15.982
Sum 5733600000
Variance 1.0731e+12
Memory size 768.8 KiB

retweeted_status_user_friends_count
Numeric

Distinct count 2514
Unique (%) 7.3%
Missing (%) 64.9%
Missing (n) 63829
Mean 6972.4
Minimum 0
Maximum 554700
Zeros (%) 1.1%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 554700
Range 554700
Interquartile range

Descriptive statistics

Standard deviation 20665
Coef of variation 2.9638
Kurtosis 33.534
Mean 6972.4
MAD 10340
Skewness 4.4376
Sum 240990000
Variance 427040000
Memory size 768.8 KiB

retweeted_status_user_geo_enabled
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
21118
True
13446
(Missing)
63829
Value Count Frequency (%)  
False 21118 21.5%
 
True 13446 13.7%
 
(Missing) 63829 64.9%
 

retweeted_status_user_has_extended_profile
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
30441
True
 
4123
(Missing)
63829
Value Count Frequency (%)  
False 30441 30.9%
 
True 4123 4.2%
 
(Missing) 63829 64.9%
 

retweeted_status_user_id
Numeric

Distinct count 6486
Unique (%) 18.8%
Missing (%) 64.9%
Missing (n) 63829
Mean 2.6921e+16
Minimum 22
Maximum 7.2671e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 22
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2671e+17
Range 7.2671e+17
Interquartile range

Descriptive statistics

Standard deviation 1.3602e+17
Coef of variation 5.0527
Kurtosis 21.577
Mean 2.6921e+16
MAD 5.1812e+16
Skewness 4.8553
Sum 9.305e+2
Variance 1.8502e+34
Memory size 768.8 KiB

retweeted_status_user_id_str
Highly correlated

This variable is highly correlated with retweeted_status_user_id and should be ignored for analysis

Correlation 1

retweeted_status_user_is_translation_enabled
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
33945
True
 
619
(Missing)
63829
Value Count Frequency (%)  
False 33945 34.5%
 
True 619 0.6%
 
(Missing) 63829 64.9%
 

retweeted_status_user_is_translator
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63829
False
34547
True
 
17
(Missing)
63829
Value Count Frequency (%)  
False 34547 35.1%
 
True 17 0.0%
 
(Missing) 63829 64.9%
 

retweeted_status_user_lang
Categorical

Distinct count 35
Unique (%) 0.1%
Missing (%) 64.9%
Missing (n) 63829
en
31040
es
 
948
fr
 
543
Other values (31)
 
2033
(Missing)
63829
Value Count Frequency (%)  
en 31040 31.5%
 
es 948 1.0%
 
fr 543 0.6%
 
en-gb 432 0.4%
 
de 315 0.3%
 
it 266 0.3%
 
vi 228 0.2%
 
sv 141 0.1%
 
ru 113 0.1%
 
pt 111 0.1%
 
pl 88 0.1%
 
nl 74 0.1%
 
ja 61 0.1%
 
en-GB 40 0.0%
 
ko 29 0.0%
 
zh-CN 18 0.0%
 
id 14 0.0%
 
ar 13 0.0%
 
uk 12 0.0%
 
fi 11 0.0%
 
Other values (14) 67 0.1%
 
(Missing) 63829 64.9%
 

retweeted_status_user_listed_count
Numeric

Distinct count 1213
Unique (%) 3.5%
Missing (%) 64.9%
Missing (n) 63829
Mean 1364.6
Minimum 0
Maximum 173930
Zeros (%) 0.8%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 173930
Range 173930
Interquartile range

Descriptive statistics

Standard deviation 6070.1
Coef of variation 4.4482
Kurtosis 205.52
Mean 1364.6
MAD 1774.2
Skewness 12.793
Sum 47166000
Variance 36846000
Memory size 768.8 KiB

retweeted_status_user_location
Categorical

Distinct count 2695
Unique (%) 10.4%
Missing (%) 73.7%
Missing (n) 72481
Delhi
 
1812
Philadelphia, PA
 
908
Seattle, WA
 
793
Other values (2691)
22399
(Missing)
72481
Value Count Frequency (%)  
Delhi 1812 1.8%
 
Philadelphia, PA 908 0.9%
 
Seattle, WA 793 0.8%
 
Booz Allen Hamilton 702 0.7%
 
Brookline, MA, USA 481 0.5%
 
New York, NY 358 0.4%
 
United States 346 0.4%
 
San Francisco, CA 345 0.4%
 
USA 313 0.3%
 
New York, England 308 0.3%
 
Worldwide 302 0.3%
 
Interwebs 258 0.3%
 
In 0's & 1's of capacitor 252 0.3%
 
London 251 0.3%
 
Boston, MA 200 0.2%
 
Portland, OR 199 0.2%
 
Austin, TX 197 0.2%
 
SF Bay Area, CA 194 0.2%
 
Colorado 186 0.2%
 
San Francisco 183 0.2%
 
Other values (2674) 17324 17.6%
 
(Missing) 72481 73.7%
 

retweeted_status_user_name
Categorical

Distinct count 6039
Unique (%) 18.2%
Missing (%) 66.3%
Missing (n) 65260
Manish Sisodia
 
1809
Randy Olson
 
885
Kirk Borne
 
702
Other values (6035)
29737
(Missing)
65260
Value Count Frequency (%)  
Manish Sisodia 1809 1.8%
 
Randy Olson 885 0.9%
 
Kirk Borne 702 0.7%
 
Big Data Science 661 0.7%
 
Gregory Piatetsky 481 0.5%
 
Python Weekly 362 0.4%
 
Delilah Alvares 308 0.3%
 
#TWD Fan Page 263 0.3%
 
Python Trending 258 0.3%
 
Binni Shah 252 0.3%
 
Python Dev Jobs 224 0.2%
 
cho 220 0.2%
 
Open Data Science 200 0.2%
 
Python 199 0.2%
 
JobHero.io 194 0.2%
 
Lennin Caro 193 0.2%
 
Rick King 176 0.2%
 
Java Code Geeks 173 0.2%
 
mike grimshaw 170 0.2%
 
Scientific Python 165 0.2%
 
Other values (6018) 25238 25.7%
 
(Missing) 65260 66.3%
 

retweeted_status_user_profile_background_color
Categorical

Distinct count 732
Unique (%) 2.1%
Missing (%) 64.9%
Missing (n) 63841
C0DEED
 
12827
000000
 
5357
1A1B1F
 
2672
Other values (728)
13696
(Missing)
63841
Value Count Frequency (%)  
C0DEED 12827 13.0%
 
000000 5357 5.4%
 
1A1B1F 2672 2.7%
 
131516 1869 1.9%
 
F5F8FA 1648 1.7%
 
FFFFFF 1274 1.3%
 
352726 857 0.9%
 
0099B9 844 0.9%
 
ACDED6 610 0.6%
 
022330 581 0.6%
 
9AE4E8 483 0.5%
 
C6E2EE 420 0.4%
 
709397 276 0.3%
 
642D8B 249 0.3%
 
FFF04D 179 0.2%
 
0197D6 164 0.2%
 
EDECE9 159 0.2%
 
213350 123 0.1%
 
B2DFDA 112 0.1%
 
EBEBEB 104 0.1%
 
Other values (711) 3744 3.8%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_background_image_url
Categorical

Distinct count 2114
Unique (%) 6.4%
Missing (%) 66.5%
Missing (n) 65443
http://abs.twimg.com/images/themes/theme1/bg.png
14240
http://abs.twimg.com/images/themes/theme14/bg.gif
 
1702
http://abs.twimg.com/images/themes/theme9/bg.gif
 
1350
Other values (2110)
15658
(Missing)
65443
Value Count Frequency (%)  
http://abs.twimg.com/images/themes/theme1/bg.png 14240 14.5%
 
http://abs.twimg.com/images/themes/theme14/bg.gif 1702 1.7%
 
http://abs.twimg.com/images/themes/theme9/bg.gif 1350 1.4%
 
http://pbs.twimg.com/profile_background_images/457629516702035968/lKWBWYYG.jpeg 885 0.9%
 
http://pbs.twimg.com/profile_background_images/378800000110442114/094a0b4d38b70e3871a1bda7d7fe2341.jpeg 702 0.7%
 
http://abs.twimg.com/images/themes/theme15/bg.png 687 0.7%
 
http://pbs.twimg.com/profile_background_images/33516583/water10x.gif 661 0.7%
 
http://abs.twimg.com/images/themes/theme18/bg.gif 611 0.6%
 
http://pbs.twimg.com/profile_background_images/378800000050609482/c32d3d654da4eb7c0518e7bba2609522.jpeg 481 0.5%
 
http://abs.twimg.com/images/themes/theme4/bg.gif 390 0.4%
 
http://pbs.twimg.com/profile_background_images/378800000036903738/3118fc770e5420a70d36d7f2eaca238e.jpeg 252 0.3%
 
http://abs.twimg.com/images/themes/theme10/bg.gif 213 0.2%
 
http://abs.twimg.com/images/themes/theme2/bg.gif 205 0.2%
 
http://pbs.twimg.com/profile_background_images/208825921/Debian_Desktop_Wallpaper_Fight_For_Open_Source_Logo.jpg 193 0.2%
 
http://abs.twimg.com/images/themes/theme19/bg.gif 184 0.2%
 
http://abs.twimg.com/images/themes/theme6/bg.gif 183 0.2%
 
http://pbs.twimg.com/profile_background_images/611680364235362304/iyRt2eBI.jpg 170 0.2%
 
http://abs.twimg.com/images/themes/theme3/bg.gif 169 0.2%
 
http://pbs.twimg.com/profile_background_images/765681180/1001e289be48bdb34f8e07948b5f2a7a.jpeg 164 0.2%
 
http://pbs.twimg.com/profile_background_images/605063482271232000/tv_pbe2Z.jpg 145 0.1%
 
Other values (2093) 9363 9.5%
 
(Missing) 65443 66.5%
 

retweeted_status_user_profile_background_image_url_https
Categorical

Distinct count 2114
Unique (%) 6.4%
Missing (%) 66.5%
Missing (n) 65443
https://abs.twimg.com/images/themes/theme1/bg.png
14240
https://abs.twimg.com/images/themes/theme14/bg.gif
 
1702
https://abs.twimg.com/images/themes/theme9/bg.gif
 
1350
Other values (2110)
15658
(Missing)
65443
Value Count Frequency (%)  
https://abs.twimg.com/images/themes/theme1/bg.png 14240 14.5%
 
https://abs.twimg.com/images/themes/theme14/bg.gif 1702 1.7%
 
https://abs.twimg.com/images/themes/theme9/bg.gif 1350 1.4%
 
https://pbs.twimg.com/profile_background_images/457629516702035968/lKWBWYYG.jpeg 885 0.9%
 
https://pbs.twimg.com/profile_background_images/378800000110442114/094a0b4d38b70e3871a1bda7d7fe2341.jpeg 702 0.7%
 
https://abs.twimg.com/images/themes/theme15/bg.png 687 0.7%
 
https://pbs.twimg.com/profile_background_images/33516583/water10x.gif 661 0.7%
 
https://abs.twimg.com/images/themes/theme18/bg.gif 611 0.6%
 
https://pbs.twimg.com/profile_background_images/378800000050609482/c32d3d654da4eb7c0518e7bba2609522.jpeg 481 0.5%
 
https://abs.twimg.com/images/themes/theme4/bg.gif 390 0.4%
 
https://pbs.twimg.com/profile_background_images/378800000036903738/3118fc770e5420a70d36d7f2eaca238e.jpeg 252 0.3%
 
https://abs.twimg.com/images/themes/theme10/bg.gif 213 0.2%
 
https://abs.twimg.com/images/themes/theme2/bg.gif 205 0.2%
 
https://pbs.twimg.com/profile_background_images/208825921/Debian_Desktop_Wallpaper_Fight_For_Open_Source_Logo.jpg 193 0.2%
 
https://abs.twimg.com/images/themes/theme19/bg.gif 184 0.2%
 
https://abs.twimg.com/images/themes/theme6/bg.gif 183 0.2%
 
https://pbs.twimg.com/profile_background_images/611680364235362304/iyRt2eBI.jpg 170 0.2%
 
https://abs.twimg.com/images/themes/theme3/bg.gif 169 0.2%
 
https://pbs.twimg.com/profile_background_images/765681180/1001e289be48bdb34f8e07948b5f2a7a.jpeg 164 0.2%
 
https://pbs.twimg.com/profile_background_images/605063482271232000/tv_pbe2Z.jpg 145 0.1%
 
Other values (2093) 9363 9.5%
 
(Missing) 65443 66.5%
 

retweeted_status_user_profile_background_tile
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63841
False
26607
True
 
7945
(Missing)
63841
Value Count Frequency (%)  
False 26607 27.0%
 
True 7945 8.1%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_banner_url
Categorical

Distinct count 4893
Unique (%) 18.1%
Missing (%) 72.6%
Missing (n) 71385
https://pbs.twimg.com/profile_banners/30417501/1365833343
 
1809
https://pbs.twimg.com/profile_banners/49413866/1439914461
 
885
https://pbs.twimg.com/profile_banners/534563976/1450104430
 
702
Other values (4889)
23612
(Missing)
71385
Value Count Frequency (%)  
https://pbs.twimg.com/profile_banners/30417501/1365833343 1809 1.8%
 
https://pbs.twimg.com/profile_banners/49413866/1439914461 885 0.9%
 
https://pbs.twimg.com/profile_banners/534563976/1450104430 702 0.7%
 
https://pbs.twimg.com/profile_banners/14174897/1401028953 661 0.7%
 
https://pbs.twimg.com/profile_banners/20167623/1367620090 481 0.5%
 
https://pbs.twimg.com/profile_banners/4804550526/1458217261 308 0.3%
 
https://pbs.twimg.com/profile_banners/3331829713/1443335296 263 0.3%
 
https://pbs.twimg.com/profile_banners/2445802928/1397586592 258 0.3%
 
https://pbs.twimg.com/profile_banners/715902102615171072/1459519674 220 0.2%
 
https://pbs.twimg.com/profile_banners/3018841323/1453829160 200 0.2%
 
https://pbs.twimg.com/profile_banners/593222868/1459225544 194 0.2%
 
https://pbs.twimg.com/profile_banners/205824307/1436887338 193 0.2%
 
https://pbs.twimg.com/profile_banners/757365218/1416410613 176 0.2%
 
https://pbs.twimg.com/profile_banners/150820027/1393781870 173 0.2%
 
https://pbs.twimg.com/profile_banners/243877974/1434962331 170 0.2%
 
https://pbs.twimg.com/profile_banners/254791849/1458355479 165 0.2%
 
https://pbs.twimg.com/profile_banners/14159148/1460565548 164 0.2%
 
https://pbs.twimg.com/profile_banners/3179754226/1461412745 163 0.2%
 
https://pbs.twimg.com/profile_banners/2377678050/1416924179 162 0.2%
 
https://pbs.twimg.com/profile_banners/1637123371/1418028606 150 0.2%
 
Other values (4872) 19511 19.8%
 
(Missing) 71385 72.6%
 

retweeted_status_user_profile_image_url
Categorical

Distinct count 6417
Unique (%) 18.6%
Missing (%) 64.9%
Missing (n) 63841
http://pbs.twimg.com/profile_images/634951311801257984/FtTpdBj7_normal.jpg
 
1809
http://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg
 
885
http://pbs.twimg.com/profile_images/680246148762828801/flXTNSKT_normal.jpg
 
702
Other values (6413)
31156
(Missing)
63841
Value Count Frequency (%)  
http://pbs.twimg.com/profile_images/634951311801257984/FtTpdBj7_normal.jpg 1809 1.8%
 
http://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg 885 0.9%
 
http://pbs.twimg.com/profile_images/680246148762828801/flXTNSKT_normal.jpg 702 0.7%
 
http://pbs.twimg.com/profile_images/1198161733/analitycbridge_normal.png 661 0.7%
 
http://pbs.twimg.com/profile_images/1174228552/gpsc2_normal.jpg 481 0.5%
 
http://pbs.twimg.com/profile_images/1554238582/python_normal.jpg 362 0.4%
 
http://pbs.twimg.com/profile_images/691023532600401920/NbB3An-D_normal.jpg 308 0.3%
 
http://pbs.twimg.com/profile_images/650086883016339456/uOT485eU_normal.jpg 263 0.3%
 
http://pbs.twimg.com/profile_images/456490947287605248/4oklmBWe_normal.png 258 0.3%
 
http://pbs.twimg.com/profile_images/711864271903322112/TF7Pgylt_normal.jpg 252 0.3%
 
http://pbs.twimg.com/profile_images/679698663698911232/sixEllZl_normal.jpg 224 0.2%
 
http://pbs.twimg.com/profile_images/715902908751962112/6NGxgnWv_normal.jpg 220 0.2%
 
http://pbs.twimg.com/profile_images/623923923441348612/HxO7gaZZ_normal.png 200 0.2%
 
http://pbs.twimg.com/profile_images/609201325046280192/WqwLYJNg_normal.jpg 194 0.2%
 
http://pbs.twimg.com/profile_images/620976524448153600/FaP0gL2J_normal.jpg 193 0.2%
 
http://pbs.twimg.com/profile_images/535252199073275904/9JrlgXqh_normal.png 188 0.2%
 
http://pbs.twimg.com/profile_images/474218179682504705/XO7iB9e7_normal.jpeg 176 0.2%
 
http://pbs.twimg.com/profile_images/2928906892/098968d4c7f39c870935f8aae12a8a14_normal.png 173 0.2%
 
http://pbs.twimg.com/profile_images/611686609407180800/hZKDoHLq_normal.jpg 170 0.2%
 
http://pbs.twimg.com/profile_images/710923156655984640/8Z95ugd__normal.jpg 165 0.2%
 
Other values (6396) 26668 27.1%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_image_url_https
Categorical

Distinct count 6417
Unique (%) 18.6%
Missing (%) 64.9%
Missing (n) 63841
https://pbs.twimg.com/profile_images/634951311801257984/FtTpdBj7_normal.jpg
 
1809
https://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg
 
885
https://pbs.twimg.com/profile_images/680246148762828801/flXTNSKT_normal.jpg
 
702
Other values (6413)
31156
(Missing)
63841
Value Count Frequency (%)  
https://pbs.twimg.com/profile_images/634951311801257984/FtTpdBj7_normal.jpg 1809 1.8%
 
https://pbs.twimg.com/profile_images/618964235779862528/nLQhBWfq_normal.jpg 885 0.9%
 
https://pbs.twimg.com/profile_images/680246148762828801/flXTNSKT_normal.jpg 702 0.7%
 
https://pbs.twimg.com/profile_images/1198161733/analitycbridge_normal.png 661 0.7%
 
https://pbs.twimg.com/profile_images/1174228552/gpsc2_normal.jpg 481 0.5%
 
https://pbs.twimg.com/profile_images/1554238582/python_normal.jpg 362 0.4%
 
https://pbs.twimg.com/profile_images/691023532600401920/NbB3An-D_normal.jpg 308 0.3%
 
https://pbs.twimg.com/profile_images/650086883016339456/uOT485eU_normal.jpg 263 0.3%
 
https://pbs.twimg.com/profile_images/456490947287605248/4oklmBWe_normal.png 258 0.3%
 
https://pbs.twimg.com/profile_images/711864271903322112/TF7Pgylt_normal.jpg 252 0.3%
 
https://pbs.twimg.com/profile_images/679698663698911232/sixEllZl_normal.jpg 224 0.2%
 
https://pbs.twimg.com/profile_images/715902908751962112/6NGxgnWv_normal.jpg 220 0.2%
 
https://pbs.twimg.com/profile_images/623923923441348612/HxO7gaZZ_normal.png 200 0.2%
 
https://pbs.twimg.com/profile_images/609201325046280192/WqwLYJNg_normal.jpg 194 0.2%
 
https://pbs.twimg.com/profile_images/620976524448153600/FaP0gL2J_normal.jpg 193 0.2%
 
https://pbs.twimg.com/profile_images/535252199073275904/9JrlgXqh_normal.png 188 0.2%
 
https://pbs.twimg.com/profile_images/474218179682504705/XO7iB9e7_normal.jpeg 176 0.2%
 
https://pbs.twimg.com/profile_images/2928906892/098968d4c7f39c870935f8aae12a8a14_normal.png 173 0.2%
 
https://pbs.twimg.com/profile_images/611686609407180800/hZKDoHLq_normal.jpg 170 0.2%
 
https://pbs.twimg.com/profile_images/710923156655984640/8Z95ugd__normal.jpg 165 0.2%
 
Other values (6396) 26668 27.1%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_link_color
Categorical

Distinct count 1406
Unique (%) 4.1%
Missing (%) 64.9%
Missing (n) 63841
0084B4
13306
3B94D9
 
2472
2B7BB9
 
1602
Other values (1402)
17172
(Missing)
63841
Value Count Frequency (%)  
0084B4 13306 13.5%
 
3B94D9 2472 2.5%
 
2B7BB9 1602 1.6%
 
009999 1186 1.2%
 
2FC2EF 1158 1.2%
 
0099B9 845 0.9%
 
ABB8C2 718 0.7%
 
080808 664 0.7%
 
038543 569 0.6%
 
4A913C 561 0.6%
 
FA743E 557 0.6%
 
1B95E0 446 0.5%
 
000000 432 0.4%
 
94D487 253 0.3%
 
815E32 252 0.3%
 
DD2E44 231 0.2%
 
FF0000 226 0.2%
 
1F98C7 224 0.2%
 
89C9FA 177 0.2%
 
004899 167 0.2%
 
Other values (1385) 8506 8.6%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_sidebar_border_color
Categorical

Distinct count 261
Unique (%) 0.8%
Missing (%) 64.9%
Missing (n) 63841
C0DEED
 
12772
FFFFFF
 
6983
000000
 
6709
Other values (257)
 
8088
(Missing)
63841
Value Count Frequency (%)  
C0DEED 12772 13.0%
 
FFFFFF 6983 7.1%
 
000000 6709 6.8%
 
EEEEEE 1754 1.8%
 
181A1E 1298 1.3%
 
829D5E 835 0.8%
 
5ED4DC 722 0.7%
 
A8C7F7 469 0.5%
 
87BC44 287 0.3%
 
BDDCAD 246 0.3%
 
C6E2EE 212 0.2%
 
65B0DA 174 0.2%
 
86A4A6 170 0.2%
 
0F3013 132 0.1%
 
42516A 123 0.1%
 
D3D2CF 110 0.1%
 
F5F5F5 96 0.1%
 
DEDEDE 96 0.1%
 
DFDFDF 94 0.1%
 
D9B17E 90 0.1%
 
Other values (240) 1180 1.2%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_sidebar_fill_color
Categorical

Distinct count 509
Unique (%) 1.5%
Missing (%) 64.9%
Missing (n) 63841
DDEEF6
16163
000000
 
5181
252429
 
2683
Other values (505)
 
10525
(Missing)
63841
Value Count Frequency (%)  
DDEEF6 16163 16.4%
 
000000 5181 5.3%
 
252429 2683 2.7%
 
EFEFEF 1788 1.8%
 
95E8EC 984 1.0%
 
C0DFEC 763 0.8%
 
CAD9D8 661 0.7%
 
F6F6F6 557 0.6%
 
FFFFFF 535 0.5%
 
DDFFCC 367 0.4%
 
E0FF92 290 0.3%
 
DAECF4 276 0.3%
 
DE3B97 252 0.3%
 
99CC33 235 0.2%
 
A0C5C7 205 0.2%
 
7AC3EE 196 0.2%
 
E3E2DE 168 0.2%
 
9CED76 132 0.1%
 
EEEEEE 130 0.1%
 
F3F3F3 128 0.1%
 
Other values (488) 2858 2.9%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_text_color
Categorical

Distinct count 398
Unique (%) 1.2%
Missing (%) 64.9%
Missing (n) 63841
333333
20866
000000
 
6011
666666
 
2596
Other values (394)
 
5079
(Missing)
63841
Value Count Frequency (%)  
333333 20866 21.2%
 
000000 6011 6.1%
 
666666 2596 2.6%
 
3C3940 987 1.0%
 
3E4415 921 0.9%
 
663B12 277 0.3%
 
F651E0 252 0.3%
 
3D1957 197 0.2%
 
634047 166 0.2%
 
949294 145 0.1%
 
269434 132 0.1%
 
853A49 116 0.1%
 
4A4A4A 97 0.1%
 
005523 77 0.1%
 
362720 67 0.1%
 
2B2A2B 66 0.1%
 
777777 62 0.1%
 
0C3E53 59 0.1%
 
6B6B6B 55 0.1%
 
2A2C2B 54 0.1%
 
Other values (377) 1349 1.4%
 
(Missing) 63841 64.9%
 

retweeted_status_user_profile_use_background_image
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63841
True
27860
False
 
6692
(Missing)
63841
Value Count Frequency (%)  
True 27860 28.3%
 
False 6692 6.8%
 
(Missing) 63841 64.9%
 

retweeted_status_user_protected
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63841
False
34552
(Missing)
63841
Value Count Frequency (%)  
False 34552 35.1%
 
(Missing) 63841 64.9%
 

retweeted_status_user_screen_name
Categorical

Distinct count 6485
Unique (%) 18.8%
Missing (%) 64.9%
Missing (n) 63841
msisodia
 
1809
randal_olson
 
885
KirkDBorne
 
702
Other values (6481)
31156
(Missing)
63841
Value Count Frequency (%)  
msisodia 1809 1.8%
 
randal_olson 885 0.9%
 
KirkDBorne 702 0.7%
 
analyticbridge 661 0.7%
 
kdnuggets 481 0.5%
 
PythonWeekly 362 0.4%
 
Delilah_Alvares 308 0.3%
 
FTWDFans 263 0.3%
 
pythontrending 258 0.3%
 
binitamshah 252 0.3%
 
jobfindlypython 224 0.2%
 
cho79596190 220 0.2%
 
odsc 200 0.2%
 
JobHero_io 194 0.2%
 
lennincaro 193 0.2%
 
PythonRR 188 0.2%
 
RickKing16 176 0.2%
 
javacodegeeks 173 0.2%
 
mikegrimshaw2 170 0.2%
 
SciPyTip 165 0.2%
 
Other values (6464) 26668 27.1%
 
(Missing) 63841 64.9%
 

retweeted_status_user_statuses_count
Numeric

Distinct count 5927
Unique (%) 17.2%
Missing (%) 64.9%
Missing (n) 63841
Mean 25505
Minimum 1
Maximum 1235400
Zeros (%) 0.0%

Quantile statistics

Minimum 1
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 1235400
Range 1235400
Interquartile range

Descriptive statistics

Standard deviation 58313
Coef of variation 2.2863
Kurtosis 79.438
Mean 25505
MAD 29516
Skewness 6.9428
Sum 881260000
Variance 3400400000
Memory size 768.8 KiB

retweeted_status_user_time_zone
Categorical

Distinct count 142
Unique (%) 0.6%
Missing (%) 74.3%
Missing (n) 73090
Pacific Time (US & Canada)
 
6162
Eastern Time (US & Canada)
 
6009
London
 
1928
Other values (138)
 
11204
(Missing)
73090
Value Count Frequency (%)  
Pacific Time (US & Canada) 6162 6.3%
 
Eastern Time (US & Canada) 6009 6.1%
 
London 1928 2.0%
 
Central Time (US & Canada) 1698 1.7%
 
Amsterdam 589 0.6%
 
Athens 536 0.5%
 
Berlin 496 0.5%
 
Atlantic Time (Canada) 493 0.5%
 
Paris 481 0.5%
 
Quito 460 0.5%
 
New Delhi 395 0.4%
 
Madrid 337 0.3%
 
Mountain Time (US & Canada) 336 0.3%
 
Rome 316 0.3%
 
Arizona 265 0.3%
 
Brasilia 232 0.2%
 
Brussels 207 0.2%
 
Caracas 204 0.2%
 
Dublin 194 0.2%
 
Sydney 168 0.2%
 
Other values (121) 3797 3.9%
 
(Missing) 73090 74.3%
 

retweeted_status_user_url
Categorical

Distinct count 4471
Unique (%) 16.2%
Missing (%) 71.9%
Missing (n) 70757
http://t.co/4JAW1UO9Y8
 
1809
https://t.co/tpzAYxx9cq
 
885
https://t.co/tWlmeuTlR7
 
702
Other values (4467)
24240
(Missing)
70757
Value Count Frequency (%)  
http://t.co/4JAW1UO9Y8 1809 1.8%
 
https://t.co/tpzAYxx9cq 885 0.9%
 
https://t.co/tWlmeuTlR7 702 0.7%
 
http://t.co/43tj0Ez1jT 661 0.7%
 
http://t.co/aWUY84onbG 481 0.5%
 
http://t.co/D1OMRitAIv 362 0.4%
 
https://t.co/B2AdRQDuaf 308 0.3%
 
https://t.co/bPrpNFHP42 258 0.3%
 
https://t.co/LfZIicBDza 252 0.3%
 
https://t.co/LvNObmuCkf 224 0.2%
 
https://t.co/UBbHYS8ReL 200 0.2%
 
https://t.co/wXDyVzfUM0 194 0.2%
 
http://t.co/PVtXT9K1OX 188 0.2%
 
http://t.co/DivczES801 173 0.2%
 
https://t.co/vrO1K4Vzvf 170 0.2%
 
https://t.co/vtMHCfZpoO 165 0.2%
 
http://t.co/kgJqUNDMpy 164 0.2%
 
https://t.co/Xm6V2081pG 162 0.2%
 
http://t.co/OuWBVQWCpU 157 0.2%
 
https://t.co/o7Zlm2tvAr 150 0.2%
 
Other values (4450) 19971 20.3%
 
(Missing) 70757 71.9%
 

retweeted_status_user_utc_offset
Numeric

Distinct count 29
Unique (%) 0.1%
Missing (%) 74.3%
Missing (n) 73090
Mean -9104.8
Minimum -39600
Maximum 46800
Zeros (%) 0.1%

Quantile statistics

Minimum -39600
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 46800
Range 86400
Interquartile range

Descriptive statistics

Standard deviation 15863
Coef of variation -1.7422
Kurtosis -0.062692
Mean -9104.8
MAD 13502
Skewness 0.8389
Sum -230380000
Variance 251620000
Memory size 768.8 KiB

retweeted_status_user_verified
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 64.9%
Missing (n) 63841
False
31064
True
 
3488
(Missing)
63841
Value Count Frequency (%)  
False 31064 31.6%
 
True 3488 3.5%
 
(Missing) 63841 64.9%
 

source
Categorical

Distinct count 1681
Unique (%) 1.7%
Missing (%) 0.8%
Missing (n) 767
Twitter Web Client
16142
IFTTT
13634
Twitter for Android
 
11177
Other values (1677)
56673
Value Count Frequency (%)  
Twitter Web Client 16142 16.4%
 
IFTTT 13634 13.9%
 
Twitter for Android 11177 11.4%
 
Twitter for iPhone 10030 10.2%
 
dlvr.it 5150 5.2%
 
jobfindly python jobs 3254 3.3%
 
twitterfeed 3182 3.2%
 
Python RT Bot 2920 3.0%
 
TweetDeck 2606 2.6%
 
Facebook 2438 2.5%
 
Hootsuite 1771 1.8%
 
Buffer 1615 1.6%
 
RoundTeam 1474 1.5%
 
Google 1054 1.1%
 
Twitter for iPad 1011 1.0%
 
Twittertest145368 684 0.7%
 
Cheap Bots, Done Quick! 559 0.6%
 
Instagram 499 0.5%
 
Twitter for Mac 490 0.5%
 
SocialOomph 478 0.5%
 
Other values (1660) 17458 17.7%
 
(Missing) 767 0.8%
 

text
Categorical

Distinct count 71549
Unique (%) 72.7%
Missing (%) 0.0%
Missing (n) 12
'RT @msisodia: One should understand Sanskrit is the only language which can compete with C++, Java, SOL, Python, Javascript...1/2 https://t\xe2\x80\xa6'
 
944
'RT @msisodia: All computers in India using languages like C+, Java, SOL, Python..should b declared antinational once IITians learn working\xe2\x80\xa6'
 
865
"RT @Delilah_Alvares: Rmbr d friendly python? Dis could've been of him (its not)\nBt did V need to take a life?\n#CallOfTheWild #SaveTheWild h\xe2\x80\xa6"
 
308
Other values (71545)
96264
Value Count Frequency (%)  
'RT @msisodia: One should understand Sanskrit is the only language which can compete with C++, Java, SOL, Python, Javascript...1/2 https://t\xe2\x80\xa6' 944 1.0%
 
'RT @msisodia: All computers in India using languages like C+, Java, SOL, Python..should b declared antinational once IITians learn working\xe2\x80\xa6' 865 0.9%
 
"RT @Delilah_Alvares: Rmbr d friendly python? Dis could've been of him (its not)\nBt did V need to take a life?\n#CallOfTheWild #SaveTheWild h\xe2\x80\xa6" 308 0.3%
 
'RT @randal_olson: #Google has started a new #Python #MachineLearning course on YouTube. #sklearn\n\nhttps://t.co/WDFEUdyrbS https://t.co/aoMn\xe2\x80\xa6' 290 0.3%
 
"RT @FTWDFans: Best #TWD signature weapon!\n\xe2\x80\xa2 Round of 8 \xe2\x80\xa2\n\nRT ~ Rick Grimes' Colt Python\nLIKE ~ Tyreese's Hammer\n\n#TheWalkingDead https://t.\xe2\x80\xa6" 263 0.3%
 
RT @cho79596190: Big Snake Fight | Snake Fight Till Death | Cobra Vs Python Vs Anaconda https://t.co/m4576sRH5a 220 0.2%
 
'RT @randal_olson: Ubuntu 16.04 LTS released with #Python 3.5 as standard, rather than Python 2.7! Progress!\n\nhttps://t.co/0dEyFM6sVd https:\xe2\x80\xa6' 171 0.2%
 
RT @SneakerPics23: Python Custom Yeezy 350 Boosts https://t.co/qpdP0DUKAu 150 0.2%
 
RT @kubernan: Microservices and Python | DevOpsSummit #DevOps #IoT #Microservices https://t.co/99ttVa37RC #Cloud 145 0.1%
 
'RT @fashionkiIIas: Custom Yeezy Boost 350\xe2\x80\x99s with genuine tan python. https://t.co/bmzH4MVi94' 139 0.1%
 
RT @alicegoldfuss: Guy: *points at my shirt* there should be a semicolon at the end Me: it's Python 133 0.1%
 
'RT @KirkDBorne: Why #MachineLearning with #Python is the best combination: https://t.co/hOdcRLTG0k #abdsc #BigData #DataScience https://t.c\xe2\x80\xa6' 126 0.1%
 
'RT @craigbrownphd: Top news: Machine Learning with Python- Why do they form the best combination -\xe2\x80\xa6 https://t.co/5mCv2YPZPT, see more https\xe2\x80\xa6' 125 0.1%
 
'RT @SkeetWarrior_: Python stroke game tho....\xf0\x9f\x91\x8c https://t.co/jbLCwPRmqI' 116 0.1%
 
RT @evilsocket: How I defeated an obfuscated and anti-tamper APK with some Python and a home-made Smali emulator. https://t.co/qhwzvuhl1t 111 0.1%
 
RT @binitamshah: Awesome Python : A curated list of awesome Python frameworks, packages, software and resources : https://t.co/IW0kXRWfom 105 0.1%
 
'RT @spazef0rze: ICYMI: A simple Python script which will fetch credentials and list proxies for #Opera #VPN https://t.co/1kG77yMvJ2 https:/\xe2\x80\xa6' 97 0.1%
 
"RT @500px: Today's #coloroftheday is High Risk Red. #TravelTuesday inspiration by Scarlet Starlet: https://t.co/mO4MqPAzTX https://t.co/BjA\xe2\x80\xa6" 96 0.1%
 
'RT @UN: Calling all programmers! Challenge yourself w/ #Electricity4All challenge https://t.co/TLsTPzBGel via @UN_UniteIdeas https://t.co/T\xe2\x80\xa6' 95 0.1%
 
RT @randal_olson: The Zen of #Python, illustrated. #programming https://t.co/AebCARp3iO https://t.co/TRNOy1vJXi 93 0.1%
 
Other values (71528) 93789 95.3%
 

truncated
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 12
False
98381
(Missing)
 
12
Value Count Frequency (%)  
False 98381 100.0%
 
(Missing) 12 0.0%
 

user_contributors_enabled
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 12
False
98381
(Missing)
 
12
Value Count Frequency (%)  
False 98381 100.0%
 
(Missing) 12 0.0%
 

user_created_at
Categorical

Distinct count 37931
Unique (%) 38.6%
Missing (%) 0.0%
Missing (n) 12
Wed Dec 23 16:22:14 +0000 2015
 
3254
Tue Nov 06 05:44:46 +0000 2012
 
3035
Sat Dec 05 13:21:09 +0000 2015
 
2920
Other values (37927)
89172
Value Count Frequency (%)  
Wed Dec 23 16:22:14 +0000 2015 3254 3.3%
 
Tue Nov 06 05:44:46 +0000 2012 3035 3.1%
 
Sat Dec 05 13:21:09 +0000 2015 2920 3.0%
 
Thu Dec 17 14:01:09 +0000 2015 930 0.9%
 
Thu Dec 24 08:02:08 +0000 2015 922 0.9%
 
Wed Dec 23 07:01:41 +0000 2015 912 0.9%
 
Sat Nov 28 11:03:01 +0000 2015 892 0.9%
 
Wed Aug 05 03:47:32 +0000 2015 842 0.9%
 
Thu Jul 17 12:12:55 +0000 2014 710 0.7%
 
Sun Apr 10 19:39:41 +0000 2016 685 0.7%
 
Mon Jul 14 14:18:44 +0000 2014 675 0.7%
 
Thu Apr 23 07:23:04 +0000 2015 484 0.5%
 
Sat Jan 09 13:59:00 +0000 2016 431 0.4%
 
Tue May 08 19:54:45 +0000 2012 396 0.4%
 
Sun Mar 01 15:48:00 +0000 2015 375 0.4%
 
Sat Jun 08 13:36:41 +0000 2013 375 0.4%
 
Sun Jul 21 17:32:57 +0000 2013 354 0.4%
 
Sun Apr 29 10:41:11 +0000 2012 341 0.3%
 
Fri Apr 08 15:39:56 +0000 2016 337 0.3%
 
Thu Dec 05 19:01:21 +0000 2013 301 0.3%
 
Other values (37910) 79210 80.5%
 

user_default_profile
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 12
False
50800
True
47581
(Missing)
 
12
Value Count Frequency (%)  
False 50800 51.6%
 
True 47581 48.4%
 
(Missing) 12 0.0%
 

user_default_profile_image
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 12
False
95559
True
 
2822
(Missing)
 
12
Value Count Frequency (%)  
False 95559 97.1%
 
True 2822 2.9%
 
(Missing) 12 0.0%
 

user_description
Categorical

Distinct count 27457
Unique (%) 36.1%
Missing (%) 22.7%
Missing (n) 22323
View all available Python Developer jobs from company sites, job boards and the web at https://t.co/X9YF9QW4pC - thousands of new jobs added daily!
 
3254
We've had our share of hard times, But that's the price we paid And through it all we kept the promise that we made, I swear you'll never be lonely.
 
3035
I am a bot that cares about everything Python! Created by @masnun
 
2920
Other values (27453)
66861
(Missing)
22323
Value Count Frequency (%)  
View all available Python Developer jobs from company sites, job boards and the web at https://t.co/X9YF9QW4pC - thousands of new jobs added daily! 3254 3.3%
 
We've had our share of hard times, But that's the price we paid And through it all we kept the promise that we made, I swear you'll never be lonely. 3035 3.1%
 
I am a bot that cares about everything Python! Created by @masnun 2920 3.0%
 
Music,sports,photografy,travel,shopping,internet 1559 1.6%
 
Daily #Programming Issues: Stay connected & Stay Updated. #JS #HTML #CSS #PHP etc. 922 0.9%
 
Daily #Technology Issues & solutions: The height quality on going #Technology events, #news and #information through. Stay connected & keep updated yourself. 892 0.9%
 
Learn Python Programming in Delhi NCR #Python Classes in Gurgaon (Age: 9 to 90 Years) #PythonGurgaon #Programming #Data #Coding #R #Gurgaon #DelhiNCR #Analytics 842 0.9%
 
Python Jobs - Follow this account for Python job tweets 710 0.7%
 
I tweet about Python, tech, and some of the most random things you can imagine. 685 0.7%
 
Follow this account for PYTHON job tweets from ITJobPro the biggest IT job site on the planet. more at http://t.co/kLxn6Xf2Cs 675 0.7%
 
Latest #IT, #Programming, #Tech questions. Yet Unsolved Questions. 431 0.4%
 
Bid at the last second on Ebay FREE 413 0.4%
 
News & links about Python programming. 396 0.4%
 
Auto-retweeting Python tweets from the accounts we follow - enjoy! 375 0.4%
 
For website development, tech consultant, agile development, mobile development and project management contact me khaninejad@gmail.com 359 0.4%
 
Our mission is to provide high quality #technology & #programming information's through our website. 301 0.3%
 
Teaching practical programming through real-world applications 243 0.2%
 
Live content curated by top Python Influencers 232 0.2%
 
I'm a robot. Powered by Cheap Bots Done Quick! 194 0.2%
 
3D, science, visualization, sketching, experimentation & fun raspberry projects 189 0.2%
 
Other values (27436) 57443 58.4%
 
(Missing) 22323 22.7%
 

user_entities_description_urls
Categorical

Distinct count 2671
Unique (%) 2.7%
Missing (%) 1.1%
Missing (n) 1074
[]
86822
[{u'url': u'https://t.co/X9YF9QW4pC', u'indices': [87, 110], u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}]
 
2704
[{u'url': u'http://t.co/kLxn6Xf2Cs', u'indices': [103, 125], u'expanded_url': u'http://www.ITJobPro.com', u'display_url': u'ITJobPro.com'}]
 
553
Other values (2667)
 
7240
(Missing)
 
1074
Value Count Frequency (%)  
[] 86822 88.2%
 
[{u'url': u'https://t.co/X9YF9QW4pC', u'indices': [87, 110], u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}] 2704 2.7%
 
[{u'url': u'http://t.co/kLxn6Xf2Cs', u'indices': [103, 125], u'expanded_url': u'http://www.ITJobPro.com', u'display_url': u'ITJobPro.com'}] 553 0.6%
 
[{u'indices': [87, 110], u'url': u'https://t.co/X9YF9QW4pC', u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}] 550 0.6%
 
[{u'url': u'https://t.co/k0vLqXpCe0', u'indices': [134, 157], u'expanded_url': u'http://www.pythondiario.com', u'display_url': u'pythondiario.com'}] 315 0.3%
 
[{u'url': u'https://t.co/nOHhViYGqn', u'indices': [12, 35], u'expanded_url': u'http://Livecoding.tv', u'display_url': u'Livecoding.tv'}] 160 0.2%
 
[{u'indices': [103, 125], u'url': u'http://t.co/kLxn6Xf2Cs', u'expanded_url': u'http://www.ITJobPro.com', u'display_url': u'ITJobPro.com'}] 122 0.1%
 
[{u'url': u'https://t.co/X9YF9QW4pC', u'indices': [74, 97], u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}] 107 0.1%
 
[{u'url': u'http://t.co/rHlyfe7p7r', u'indices': [36, 58], u'expanded_url': u'http://SimbaSystems.com', u'display_url': u'SimbaSystems.com'}] 96 0.1%
 
[{u'url': u'https://t.co/Az4W3JfVDi', u'indices': [130, 153], u'expanded_url': u'http://www.JobHero.io', u'display_url': u'JobHero.io'}] 73 0.1%
 
[{u'url': u'https://t.co/X9YF9QW4pC', u'indices': [85, 108], u'expanded_url': u'http://jobfindly.com', u'display_url': u'jobfindly.com'}] 67 0.1%
 
[{u'url': u'https://t.co/DtzsVwixrY', u'indices': [116, 139], u'expanded_url': u'http://cesarnogueira.strikingly.com', u'display_url': u'cesarnogueira.strikingly.com'}] 64 0.1%
 
[{u'url': u'https://t.co/jGalvTuMDJ', u'indices': [107, 130], u'expanded_url': u'http://bit.ly/1jweClX', u'display_url': u'bit.ly/1jweClX'}] 64 0.1%
 
[{u'indices': [134, 157], u'url': u'https://t.co/k0vLqXpCe0', u'expanded_url': u'http://www.pythondiario.com', u'display_url': u'pythondiario.com'}] 60 0.1%
 
[{u'url': u'http://t.co/kzmQwJIxfD', u'indices': [108, 130], u'expanded_url': u'http://RDAHealthcare.com', u'display_url': u'RDAHealthcare.com'}] 59 0.1%
 
[{u'url': u'https://t.co/8BDMCGIRGL', u'indices': [116, 139], u'expanded_url': u'http://twitch.tv/ultraz_python', u'display_url': u'twitch.tv/ultraz_python'}] 59 0.1%
 
[{u'url': u'https://t.co/D7cuGXA0dl', u'indices': [84, 107], u'expanded_url': u'http://damianofusco.com', u'display_url': u'damianofusco.com'}] 57 0.1%
 
[{u'url': u'https://t.co/ipcaEoDUNy', u'indices': [0, 23], u'expanded_url': u'http://recuweb.com', u'display_url': u'recuweb.com'}] 52 0.1%
 
[{u'url': u'https://t.co/gpyYZwA8Tl', u'indices': [85, 108], u'expanded_url': u'http://dustcloud.io', u'display_url': u'dustcloud.io'}] 44 0.0%
 
[{u'url': u'http://t.co/QVTIJZCdlx', u'indices': [106, 128], u'expanded_url': u'http://PentesterAcademy.com', u'display_url': u'PentesterAcademy.com'}, {u'url': u'http://t.co/0vm0BnkqLa', u'indices': [132, 154], u'expanded_url': u'http://Securitytube-Training.com', u'display_url': u'Securitytube-Training.com'}] 42 0.0%
 
Other values (2650) 5249 5.3%
 
(Missing) 1074 1.1%
 

user_entities_url_urls
Categorical

Distinct count 19771
Unique (%) 38.4%
Missing (%) 47.7%
Missing (n) 46930
[{u'indices': [0, 23], u'url': u'https://t.co/Hl1m7P4xmV', u'expanded_url': u'http://masnun.me', u'display_url': u'masnun.me'}]
 
2133
[{u'url': u'http://t.co/8Q0jl1AtKI', u'indices': [0, 22], u'expanded_url': u'http://immortal.ucoz.com', u'display_url': u'immortal.ucoz.com'}]
 
1973
[{u'indices': [0, 22], u'url': u'http://t.co/8Q0jl1AtKI', u'expanded_url': u'http://immortal.ucoz.com', u'display_url': u'immortal.ucoz.com'}]
 
1062
Other values (19767)
46295
(Missing)
46930
Value Count Frequency (%)  
[{u'indices': [0, 23], u'url': u'https://t.co/Hl1m7P4xmV', u'expanded_url': u'http://masnun.me', u'display_url': u'masnun.me'}] 2133 2.2%
 
[{u'url': u'http://t.co/8Q0jl1AtKI', u'indices': [0, 22], u'expanded_url': u'http://immortal.ucoz.com', u'display_url': u'immortal.ucoz.com'}] 1973 2.0%
 
[{u'indices': [0, 22], u'url': u'http://t.co/8Q0jl1AtKI', u'expanded_url': u'http://immortal.ucoz.com', u'display_url': u'immortal.ucoz.com'}] 1062 1.1%
 
[{u'url': u'https://t.co/P4ba2SMKJa', u'indices': [0, 23], u'expanded_url': u'http://goo.gl/UY8WFO', u'display_url': u'goo.gl/UY8WFO'}] 798 0.8%
 
[{u'url': u'https://t.co/PygshDFQhI', u'indices': [0, 23], u'expanded_url': u'http://goo.gl/TgRN9d', u'display_url': u'goo.gl/TgRN9d'}] 793 0.8%
 
[{u'url': u'https://t.co/Hl1m7P4xmV', u'indices': [0, 23], u'expanded_url': u'http://masnun.me', u'display_url': u'masnun.me'}] 788 0.8%
 
[{u'url': u'https://t.co/ZxdvO1ZaiT', u'indices': [0, 23], u'expanded_url': u'http://goo.gl/Q5C3zU', u'display_url': u'goo.gl/Q5C3zU'}] 786 0.8%
 
[{u'url': u'https://t.co/34LPPFZfCm', u'indices': [0, 23], u'expanded_url': u'http://goo.gl/01bWHF', u'display_url': u'goo.gl/01bWHF'}] 784 0.8%
 
[{u'url': u'http://t.co/kLxn6Xf2Cs', u'indices': [0, 22], u'expanded_url': u'http://www.ITJobPro.com', u'display_url': u'ITJobPro.com'}] 608 0.6%
 
[{u'url': u'https://t.co/w7yC4guo2R', u'indices': [0, 23], u'expanded_url': u'http://goo.gl/HMTN68', u'display_url': u'goo.gl/HMTN68'}] 382 0.4%
 
[{u'url': u'http://t.co/1m4ijr2w8A', u'indices': [0, 22], u'expanded_url': u'http://www.pythondiario.com', u'display_url': u'pythondiario.com'}] 315 0.3%
 
[{u'url': u'https://t.co/wNpsm4ziGC', u'indices': [0, 23], u'expanded_url': u'http://goo.gl/hFqZa2', u'display_url': u'goo.gl/hFqZa2'}] 259 0.3%
 
[{u'url': u'https://t.co/VSX5CctduJ', u'indices': [0, 23], u'expanded_url': u'http://dragplus.com/page/python', u'display_url': u'dragplus.com/page/python'}] 238 0.2%
 
[{u'indices': [0, 23], u'url': u'https://t.co/ZxdvO1ZaiT', u'expanded_url': u'http://goo.gl/Q5C3zU', u'display_url': u'goo.gl/Q5C3zU'}] 215 0.2%
 
[{u'url': u'http://t.co/PVtXT9K1OX', u'indices': [0, 22], u'expanded_url': u'http://bit.ly/1uLmkxZ', u'display_url': u'bit.ly/1uLmkxZ'}] 192 0.2%
 
[{u'url': u'http://t.co/ZhoOQdg9HF', u'indices': [0, 22], u'expanded_url': u'http://RealPython.com', u'display_url': u'RealPython.com'}] 190 0.2%
 
[{u'url': u'https://t.co/dUzwcEMlDd', u'indices': [0, 23], u'expanded_url': u'http://www.youbidder.com/', u'display_url': u'youbidder.com'}] 187 0.2%
 
[{u'url': u'https://t.co/dUzwcEuKLF', u'indices': [0, 23], u'expanded_url': u'http://www.youbidder.com/', u'display_url': u'youbidder.com'}] 178 0.2%
 
[{u'url': u'https://t.co/nOHhViYGqn', u'indices': [0, 23], u'expanded_url': u'http://Livecoding.tv', u'display_url': u'Livecoding.tv'}] 160 0.2%
 
[{u'indices': [0, 22], u'url': u'http://t.co/kLxn6Xf2Cs', u'expanded_url': u'http://www.ITJobPro.com', u'display_url': u'ITJobPro.com'}] 141 0.1%
 
Other values (19750) 39281 39.9%
 
(Missing) 46930 47.7%
 

user_favourites_count
Numeric

Distinct count 9311
Unique (%) 9.5%
Missing (%) 0.0%
Missing (n) 14
Mean 2610.8
Minimum 0
Maximum 661640
Zeros (%) 25.4%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 661640
Range 661640
Interquartile range

Descriptive statistics

Standard deviation 11280
Coef of variation 4.3205
Kurtosis 282.33
Mean 2610.8
MAD 3999.6
Skewness 12.066
Sum 256850000
Variance 127240000
Memory size 768.8 KiB

user_followers_count
Numeric

Distinct count 6617
Unique (%) 6.7%
Missing (%) 0.0%
Missing (n) 14
Mean 3093.8
Minimum 0
Maximum 10384000
Zeros (%) 0.1%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 10384000
Range 10384000
Interquartile range

Descriptive statistics

Standard deviation 61975
Coef of variation 20.032
Kurtosis 15340
Mean 3093.8
MAD 4563.7
Skewness 115.54
Sum 304370000
Variance 3841000000
Memory size 768.8 KiB

user_friends_count
Numeric

Distinct count 4727
Unique (%) 4.8%
Missing (%) 0.0%
Missing (n) 14
Mean 1291.9
Minimum 0
Maximum 382460
Zeros (%) 8.1%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 382460
Range 382460
Interquartile range

Descriptive statistics

Standard deviation 5654.1
Coef of variation 4.3767
Kurtosis 785.76
Mean 1291.9
MAD 1592.9
Skewness 20.519
Sum 127090000
Variance 31969000
Memory size 768.8 KiB

user_geo_enabled
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
74145
True
24234
(Missing)
 
14
Value Count Frequency (%)  
False 74145 75.4%
 
True 24234 24.6%
 
(Missing) 14 0.0%
 

user_has_extended_profile
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
85583
True
 
12796
(Missing)
 
14
Value Count Frequency (%)  
False 85583 87.0%
 
True 12796 13.0%
 
(Missing) 14 0.0%
 

user_id
Numeric

Distinct count 37932
Unique (%) 38.6%
Missing (%) 0.0%
Missing (n) 14
Mean 6.713e+16
Minimum 22
Maximum 7.2749e+17
Zeros (%) 0.0%

Quantile statistics

Minimum 22
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 7.2749e+17
Range 7.2749e+17
Interquartile range

Descriptive statistics

Standard deviation 2.0859e+17
Coef of variation 3.1073
Kurtosis 5.7621
Mean 6.713e+16
MAD 1.2166e+17
Skewness 2.7858
Sum 6.6042e+21
Variance 4.351e+34
Memory size 768.8 KiB

user_id_str
Highly correlated

This variable is highly correlated with user_id and should be ignored for analysis

Correlation 1

user_is_translation_enabled
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
96076
True
 
2303
(Missing)
 
14
Value Count Frequency (%)  
False 96076 97.6%
 
True 2303 2.3%
 
(Missing) 14 0.0%
 

user_is_translator
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
98352
True
 
27
(Missing)
 
14
Value Count Frequency (%)  
False 98352 100.0%
 
True 27 0.0%
 
(Missing) 14 0.0%
 

user_lang
Categorical

Distinct count 52
Unique (%) 0.1%
Missing (%) 0.0%
Missing (n) 14
en
79424
es
 
4966
en-gb
 
4400
Other values (48)
 
9589
Value Count Frequency (%)  
en 79424 80.7%
 
es 4966 5.0%
 
en-gb 4400 4.5%
 
fr 2166 2.2%
 
pl 2102 2.1%
 
de 1072 1.1%
 
ja 654 0.7%
 
it 653 0.7%
 
pt 647 0.7%
 
ru 461 0.5%
 
nl 380 0.4%
 
id 193 0.2%
 
en-GB 125 0.1%
 
ko 113 0.1%
 
zh-cn 111 0.1%
 
tr 96 0.1%
 
da 90 0.1%
 
th 87 0.1%
 
ca 73 0.1%
 
sv 69 0.1%
 
Other values (31) 497 0.5%
 

user_listed_count
Numeric

Distinct count 1978
Unique (%) 2.0%
Missing (%) 0.0%
Missing (n) 14
Mean 349.9
Minimum 0
Maximum 95363
Zeros (%) 3.8%

Quantile statistics

Minimum 0
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 95363
Range 95363
Interquartile range

Descriptive statistics

Standard deviation 1054
Coef of variation 3.0123
Kurtosis 778.3
Mean 349.9
MAD 427.61
Skewness 15.136
Sum 34422000
Variance 1110900
Memory size 768.8 KiB

user_location
Categorical

Distinct count 11672
Unique (%) 16.9%
Missing (%) 29.9%
Missing (n) 29408
United States
 
3834
Yogyakarta
 
3037
Khulna, Bangladesh
 
2922
Other values (11668)
59192
(Missing)
29408
Value Count Frequency (%)  
United States 3834 3.9%
 
Yogyakarta 3037 3.1%
 
Khulna, Bangladesh 2922 3.0%
 
USA 2495 2.5%
 
New York, USA 2028 2.1%
 
Worldwide 1869 1.9%
 
FR 922 0.9%
 
RU 912 0.9%
 
CN 892 0.9%
 
Gurgaon, Haryana, India 844 0.9%
 
San Francisco, CA 595 0.6%
 
India 578 0.6%
 
London 572 0.6%
 
UK 450 0.5%
 
New York, NY 417 0.4%
 
Seattle, WA 395 0.4%
 
London, England 392 0.4%
 
Uruguay 383 0.4%
 
Brighton & Hove, UK 376 0.4%
 
Boston, MA 333 0.3%
 
Other values (11651) 44739 45.5%
 
(Missing) 29408 29.9%
 

user_name
Categorical

Distinct count 34039
Unique (%) 36.5%
Missing (%) 5.3%
Missing (n) 5255
Python Dev Jobs
 
3254
Arteri Wisanggeni
 
3035
Python RT Bot
 
2920
Other values (34035)
83929
(Missing)
 
5255
Value Count Frequency (%)  
Python Dev Jobs 3254 3.3%
 
Arteri Wisanggeni 3035 3.1%
 
Python RT Bot 2920 3.0%
 
Micheal Hartwig 1031 1.0%
 
Rahaman M 930 0.9%
 
Star Tech Wall 912 0.9%
 
Daily Tech Issues 892 0.9%
 
Python Jobs 883 0.9%
 
Programming Gurgaon 842 0.9%
 
ThePythonNoob 685 0.7%
 
python Jobs 675 0.7%
 
LinuxFera 484 0.5%
 
Python Hub 396 0.4%
 
Cool Python 375 0.4%
 
PythonDiario 375 0.4%
 
Python Agent 354 0.4%
 
rssnest 341 0.3%
 
Jeffrey MacAskill 337 0.3%
 
Monally 67-K 301 0.3%
 
Python 285 0.3%
 
Other values (34018) 73831 75.0%
 
(Missing) 5255 5.3%
 

user_profile_background_color
Categorical

Distinct count 2865
Unique (%) 2.9%
Missing (%) 0.0%
Missing (n) 14
C0DEED
36333
000000
16223
F5F8FA
16206
Other values (2861)
29617
Value Count Frequency (%)  
C0DEED 36333 36.9%
 
000000 16223 16.5%
 
F5F8FA 16206 16.5%
 
131516 3783 3.8%
 
FFFFFF 3217 3.3%
 
1A1B1F 2618 2.7%
 
022330 1877 1.9%
 
FFF04D 1204 1.2%
 
0099B9 1124 1.1%
 
9AE4E8 1105 1.1%
 
C6E2EE 917 0.9%
 
352726 832 0.8%
 
642D8B 770 0.8%
 
ACDED6 596 0.6%
 
B2DFDA 584 0.6%
 
EBEBEB 556 0.6%
 
709397 508 0.5%
 
EDECE9 446 0.5%
 
D4D4D4 302 0.3%
 
FF6699 295 0.3%
 
Other values (2844) 8883 9.0%
 

user_profile_background_image_url
Categorical

Distinct count 10149
Unique (%) 12.3%
Missing (%) 16.5%
Missing (n) 16195
http://abs.twimg.com/images/themes/theme1/bg.png
44281
http://abs.twimg.com/images/themes/theme14/bg.gif
 
3340
http://pbs.twimg.com/profile_background_images/378800000113347361/14a4001fdcadb7bedc32306b371968c9.jpeg
 
3035
Other values (10145)
31542
(Missing)
16195
Value Count Frequency (%)  
http://abs.twimg.com/images/themes/theme1/bg.png 44281 45.0%
 
http://abs.twimg.com/images/themes/theme14/bg.gif 3340 3.4%
 
http://pbs.twimg.com/profile_background_images/378800000113347361/14a4001fdcadb7bedc32306b371968c9.jpeg 3035 3.1%
 
http://abs.twimg.com/images/themes/theme9/bg.gif 2274 2.3%
 
http://abs.twimg.com/images/themes/theme15/bg.png 1859 1.9%
 
http://abs.twimg.com/images/themes/theme19/bg.gif 1169 1.2%
 
http://abs.twimg.com/images/themes/theme4/bg.gif 1089 1.1%
 
http://abs.twimg.com/images/themes/theme5/bg.gif 806 0.8%
 
http://abs.twimg.com/images/themes/theme18/bg.gif 768 0.8%
 
http://abs.twimg.com/images/themes/theme10/bg.gif 701 0.7%
 
http://abs.twimg.com/images/themes/theme2/bg.gif 695 0.7%
 
http://abs.twimg.com/images/themes/theme13/bg.gif 574 0.6%
 
http://abs.twimg.com/images/themes/theme7/bg.gif 517 0.5%
 
http://abs.twimg.com/images/themes/theme6/bg.gif 460 0.5%
 
http://abs.twimg.com/images/themes/theme11/bg.gif 428 0.4%
 
http://abs.twimg.com/images/themes/theme3/bg.gif 413 0.4%
 
http://abs.twimg.com/images/themes/theme16/bg.gif 379 0.4%
 
http://pbs.twimg.com/profile_background_images/378800000153451973/ONrDftuz.png 301 0.3%
 
http://abs.twimg.com/images/themes/theme17/bg.gif 295 0.3%
 
http://abs.twimg.com/images/themes/theme8/bg.gif 266 0.3%
 
Other values (10128) 18548 18.9%
 
(Missing) 16195 16.5%
 

user_profile_background_image_url_https
Categorical

Distinct count 10149
Unique (%) 12.3%
Missing (%) 16.5%
Missing (n) 16195
https://abs.twimg.com/images/themes/theme1/bg.png
44281
https://abs.twimg.com/images/themes/theme14/bg.gif
 
3340
https://pbs.twimg.com/profile_background_images/378800000113347361/14a4001fdcadb7bedc32306b371968c9.jpeg
 
3035
Other values (10145)
31542
(Missing)
16195
Value Count Frequency (%)  
https://abs.twimg.com/images/themes/theme1/bg.png 44281 45.0%
 
https://abs.twimg.com/images/themes/theme14/bg.gif 3340 3.4%
 
https://pbs.twimg.com/profile_background_images/378800000113347361/14a4001fdcadb7bedc32306b371968c9.jpeg 3035 3.1%
 
https://abs.twimg.com/images/themes/theme9/bg.gif 2274 2.3%
 
https://abs.twimg.com/images/themes/theme15/bg.png 1859 1.9%
 
https://abs.twimg.com/images/themes/theme19/bg.gif 1169 1.2%
 
https://abs.twimg.com/images/themes/theme4/bg.gif 1089 1.1%
 
https://abs.twimg.com/images/themes/theme5/bg.gif 806 0.8%
 
https://abs.twimg.com/images/themes/theme18/bg.gif 768 0.8%
 
https://abs.twimg.com/images/themes/theme10/bg.gif 701 0.7%
 
https://abs.twimg.com/images/themes/theme2/bg.gif 695 0.7%
 
https://abs.twimg.com/images/themes/theme13/bg.gif 574 0.6%
 
https://abs.twimg.com/images/themes/theme7/bg.gif 517 0.5%
 
https://abs.twimg.com/images/themes/theme6/bg.gif 460 0.5%
 
https://abs.twimg.com/images/themes/theme11/bg.gif 428 0.4%
 
https://abs.twimg.com/images/themes/theme3/bg.gif 413 0.4%
 
https://abs.twimg.com/images/themes/theme16/bg.gif 379 0.4%
 
https://pbs.twimg.com/profile_background_images/378800000153451973/ONrDftuz.png 301 0.3%
 
https://abs.twimg.com/images/themes/theme17/bg.gif 295 0.3%
 
https://abs.twimg.com/images/themes/theme8/bg.gif 266 0.3%
 
Other values (10128) 18548 18.9%
 
(Missing) 16195 16.5%
 

user_profile_background_tile
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
82798
True
 
15581
(Missing)
 
14
Value Count Frequency (%)  
False 82798 84.2%
 
True 15581 15.8%
 
(Missing) 14 0.0%
 

user_profile_banner_url
Categorical

Distinct count 27131
Unique (%) 42.8%
Missing (%) 35.6%
Missing (n) 35040
https://pbs.twimg.com/profile_banners/929084149/1384047845
 
3035
https://pbs.twimg.com/profile_banners/4584958124/1450362043
 
930
https://pbs.twimg.com/profile_banners/4641990870/1450947361
 
922
Other values (27127)
58466
(Missing)
35040
Value Count Frequency (%)  
https://pbs.twimg.com/profile_banners/929084149/1384047845 3035 3.1%
 
https://pbs.twimg.com/profile_banners/4584958124/1450362043 930 0.9%
 
https://pbs.twimg.com/profile_banners/4641990870/1450947361 922 0.9%
 
https://pbs.twimg.com/profile_banners/4635820598/1450854576 912 0.9%
 
https://pbs.twimg.com/profile_banners/4387442232/1448962831 892 0.9%
 
https://pbs.twimg.com/profile_banners/2653603423/1409131763 710 0.7%
 
https://pbs.twimg.com/profile_banners/2645582425/1405347580 675 0.7%
 
https://pbs.twimg.com/profile_banners/3197146924/1429801967 484 0.5%
 
https://pbs.twimg.com/profile_banners/4733645773/1452349946 431 0.4%
 
https://pbs.twimg.com/profile_banners/1492944818/1414002980 375 0.4%
 
https://pbs.twimg.com/profile_banners/3065738848/1425232512 375 0.4%
 
https://pbs.twimg.com/profile_banners/2231898000/1433744813 301 0.3%
 
https://pbs.twimg.com/profile_banners/715995842436579328/1459541835 194 0.2%
 
https://pbs.twimg.com/profile_banners/723266701169680384/1461276660 189 0.2%
 
https://pbs.twimg.com/profile_banners/4415348663/1455724217 173 0.2%
 
https://pbs.twimg.com/profile_banners/3333416974/1434707660 157 0.2%
 
https://pbs.twimg.com/profile_banners/1263046495/1458294232 148 0.2%
 
https://pbs.twimg.com/profile_banners/1960996338/1452151408 146 0.1%
 
https://pbs.twimg.com/profile_banners/781457996/1460647208 138 0.1%
 
https://pbs.twimg.com/profile_banners/32970503/1399255152 136 0.1%
 
Other values (27110) 52030 52.9%
 
(Missing) 35040 35.6%
 

user_profile_image_url
Categorical

Distinct count 36954
Unique (%) 37.6%
Missing (%) 0.0%
Missing (n) 14
http://pbs.twimg.com/profile_images/679698663698911232/sixEllZl_normal.jpg
 
3254
http://pbs.twimg.com/profile_images/2813636657/599521f69e2bc210a57323b64d8e39e6_normal.jpeg
 
3035
http://pbs.twimg.com/profile_images/673131136818667521/1fz-EhCP_normal.png
 
2920
Other values (36950)
89170
Value Count Frequency (%)  
http://pbs.twimg.com/profile_images/679698663698911232/sixEllZl_normal.jpg 3254 3.3%
 
http://pbs.twimg.com/profile_images/2813636657/599521f69e2bc210a57323b64d8e39e6_normal.jpeg 3035 3.1%
 
http://pbs.twimg.com/profile_images/673131136818667521/1fz-EhCP_normal.png 2920 3.0%
 
http://pbs.twimg.com/profile_images/677493910256484352/-EdVaVPl_normal.jpg 930 0.9%
 
http://pbs.twimg.com/profile_images/679948461953781761/pDo9356K_normal.jpg 922 0.9%
 
http://abs.twimg.com/sticky/default_profile_images/default_profile_4_normal.png 913 0.9%
 
http://pbs.twimg.com/profile_images/679566117187145728/UUo30Zpm_normal.jpg 912 0.9%
 
http://pbs.twimg.com/profile_images/671623862916812800/yGsDKiP4_normal.jpg 892 0.9%
 
http://pbs.twimg.com/profile_images/662602436222193664/qKuvsfnG_normal.jpg 842 0.9%
 
http://pbs.twimg.com/profile_images/489744857980620802/8Izpb7XG_normal.jpeg 710 0.7%
 
http://pbs.twimg.com/profile_images/719249208163717120/DgVQwdxD_normal.jpg 685 0.7%
 
http://pbs.twimg.com/profile_images/488689251236593664/pX4JrI1R_normal.png 675 0.7%
 
http://pbs.twimg.com/profile_images/591140429963329536/dvpnJvpI_normal.jpg 484 0.5%
 
http://abs.twimg.com/sticky/default_profile_images/default_profile_5_normal.png 478 0.5%
 
http://pbs.twimg.com/profile_images/685832525327933440/qpvcfSZK_normal.png 431 0.4%
 
http://pbs.twimg.com/profile_images/2213121578/icon_normal.png 396 0.4%
 
http://pbs.twimg.com/profile_images/524992384728178688/fydaiABp_normal.png 375 0.4%
 
http://pbs.twimg.com/profile_images/572091631055028224/Pkx__FSB_normal.png 375 0.4%
 
http://abs.twimg.com/sticky/default_profile_images/default_profile_3_normal.png 369 0.4%
 
http://pbs.twimg.com/profile_images/378800000166760298/a10833155e60c0a7e4c50713626893a9_normal.png 354 0.4%
 
Other values (36933) 78427 79.7%
 

user_profile_image_url_https
Categorical

Distinct count 36954
Unique (%) 37.6%
Missing (%) 0.0%
Missing (n) 14
https://pbs.twimg.com/profile_images/679698663698911232/sixEllZl_normal.jpg
 
3254
https://pbs.twimg.com/profile_images/2813636657/599521f69e2bc210a57323b64d8e39e6_normal.jpeg
 
3035
https://pbs.twimg.com/profile_images/673131136818667521/1fz-EhCP_normal.png
 
2920
Other values (36950)
89170
Value Count Frequency (%)  
https://pbs.twimg.com/profile_images/679698663698911232/sixEllZl_normal.jpg 3254 3.3%
 
https://pbs.twimg.com/profile_images/2813636657/599521f69e2bc210a57323b64d8e39e6_normal.jpeg 3035 3.1%
 
https://pbs.twimg.com/profile_images/673131136818667521/1fz-EhCP_normal.png 2920 3.0%
 
https://pbs.twimg.com/profile_images/677493910256484352/-EdVaVPl_normal.jpg 930 0.9%
 
https://pbs.twimg.com/profile_images/679948461953781761/pDo9356K_normal.jpg 922 0.9%
 
https://abs.twimg.com/sticky/default_profile_images/default_profile_4_normal.png 913 0.9%
 
https://pbs.twimg.com/profile_images/679566117187145728/UUo30Zpm_normal.jpg 912 0.9%
 
https://pbs.twimg.com/profile_images/671623862916812800/yGsDKiP4_normal.jpg 892 0.9%
 
https://pbs.twimg.com/profile_images/662602436222193664/qKuvsfnG_normal.jpg 842 0.9%
 
https://pbs.twimg.com/profile_images/489744857980620802/8Izpb7XG_normal.jpeg 710 0.7%
 
https://pbs.twimg.com/profile_images/719249208163717120/DgVQwdxD_normal.jpg 685 0.7%
 
https://pbs.twimg.com/profile_images/488689251236593664/pX4JrI1R_normal.png 675 0.7%
 
https://pbs.twimg.com/profile_images/591140429963329536/dvpnJvpI_normal.jpg 484 0.5%
 
https://abs.twimg.com/sticky/default_profile_images/default_profile_5_normal.png 478 0.5%
 
https://pbs.twimg.com/profile_images/685832525327933440/qpvcfSZK_normal.png 431 0.4%
 
https://pbs.twimg.com/profile_images/2213121578/icon_normal.png 396 0.4%
 
https://pbs.twimg.com/profile_images/572091631055028224/Pkx__FSB_normal.png 375 0.4%
 
https://pbs.twimg.com/profile_images/524992384728178688/fydaiABp_normal.png 375 0.4%
 
https://abs.twimg.com/sticky/default_profile_images/default_profile_3_normal.png 369 0.4%
 
https://pbs.twimg.com/profile_images/378800000166760298/a10833155e60c0a7e4c50713626893a9_normal.png 354 0.4%
 
Other values (36933) 78427 79.7%
 

user_profile_link_color
Categorical

Distinct count 5376
Unique (%) 5.5%
Missing (%) 0.0%
Missing (n) 14
0084B4
37873
2B7BB9
16182
3B94D9
 
4113
Other values (5372)
40211
Value Count Frequency (%)  
0084B4 37873 38.5%
 
2B7BB9 16182 16.4%
 
3B94D9 4113 4.2%
 
870202 3035 3.1%
 
009999 2230 2.3%
 
ABB8C2 1845 1.9%
 
2FC2EF 1833 1.9%
 
4A913C 1809 1.8%
 
000000 1419 1.4%
 
0099B9 1101 1.1%
 
DD2E44 1068 1.1%
 
1B95E0 931 0.9%
 
9266CC 888 0.9%
 
FA743E 852 0.9%
 
0152A1 783 0.8%
 
0151A1 763 0.8%
 
1F98C7 758 0.8%
 
FF0000 737 0.7%
 
89C9FA 728 0.7%
 
038543 594 0.6%
 
Other values (5355) 18837 19.1%
 

user_profile_sidebar_border_color
Categorical

Distinct count 1061
Unique (%) 1.1%
Missing (%) 0.0%
Missing (n) 14
C0DEED
51014
000000
22259
FFFFFF
10390
Other values (1057)
14716
Value Count Frequency (%)  
C0DEED 51014 51.8%
 
000000 22259 22.6%
 
FFFFFF 10390 10.6%
 
EEEEEE 3203 3.3%
 
181A1E 1810 1.8%
 
A8C7F7 1514 1.5%
 
829D5E 691 0.7%
 
C6E2EE 672 0.7%
 
BDDCAD 650 0.7%
 
5ED4DC 644 0.7%
 
65B0DA 428 0.4%
 
DFDFDF 424 0.4%
 
D3D2CF 346 0.4%
 
86A4A6 340 0.3%
 
87BC44 339 0.3%
 
FFF8AD 265 0.3%
 
CC3366 237 0.2%
 
D9B17E 222 0.2%
 
F2E195 204 0.2%
 
DBE9ED 158 0.2%
 
Other values (1040) 2569 2.6%
 

user_profile_sidebar_fill_color
Categorical

Distinct count 1950
Unique (%) 2.0%
Missing (%) 0.0%
Missing (n) 14
DDEEF6
57378
000000
15936
95E8EC
 
3854
Other values (1946)
21211
Value Count Frequency (%)  
DDEEF6 57378 58.3%
 
000000 15936 16.2%
 
95E8EC 3854 3.9%
 
EFEFEF 3609 3.7%
 
252429 2614 2.7%
 
C0DFEC 1915 1.9%
 
FFFFFF 1185 1.2%
 
DAECF4 880 0.9%
 
DDFFCC 843 0.9%
 
99CC33 724 0.7%
 
F6F6F6 660 0.7%
 
7AC3EE 583 0.6%
 
F3F3F3 529 0.5%
 
A0C5C7 489 0.5%
 
E3E2DE 446 0.5%
 
F6FFD1 388 0.4%
 
E0FF92 378 0.4%
 
E5507E 295 0.3%
 
FFF7CC 286 0.3%
 
EADEAA 272 0.3%
 
Other values (1929) 5115 5.2%
 

user_profile_text_color
Categorical

Distinct count 1602
Unique (%) 1.6%
Missing (%) 0.0%
Missing (n) 14
333333
67420
000000
17070
3C3940
 
3871
Other values (1598)
 
10018
Value Count Frequency (%)  
333333 67420 68.5%
 
000000 17070 17.3%
 
3C3940 3871 3.9%
 
666666 2725 2.8%
 
663B12 877 0.9%
 
3E4415 852 0.9%
 
3D1957 576 0.6%
 
634047 437 0.4%
 
362720 294 0.3%
 
0C3E53 289 0.3%
 
FF385F 137 0.1%
 
FFFFFF 130 0.1%
 
0084B4 77 0.1%
 
448668 63 0.1%
 
17406C 52 0.1%
 
618238 51 0.1%
 
1D1325 49 0.0%
 
269434 49 0.0%
 
5E412F 45 0.0%
 
2A2C2B 43 0.0%
 
Other values (1581) 3272 3.3%
 

user_profile_use_background_image
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
True
81400
False
16979
(Missing)
 
14
Value Count Frequency (%)  
True 81400 82.7%
 
False 16979 17.3%
 
(Missing) 14 0.0%
 

user_protected
Categorical

Distinct count 2
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
98379
(Missing)
 
14
Value Count Frequency (%)  
False 98379 100.0%
 
(Missing) 14 0.0%
 

user_screen_name
Categorical

Distinct count 37937
Unique (%) 38.6%
Missing (%) 0.0%
Missing (n) 14
jobfindlypython
 
3254
artwisanggeni
 
3035
PythonRTBot
 
2920
Other values (37933)
89170
Value Count Frequency (%)  
jobfindlypython 3254 3.3%
 
artwisanggeni 3035 3.1%
 
PythonRTBot 2920 3.0%
 
MTotolrahaman 930 0.9%
 
HartwigMicheal 922 0.9%
 
startechwall 912 0.9%
 
AdamSmitht1 892 0.9%
 
programmingncr 842 0.9%
 
python_IT_jobs 710 0.7%
 
ThePythonNoob 685 0.7%
 
python_job 675 0.7%
 
Linuxfera 484 0.5%
 
itntunes 431 0.4%
 
PythonHub 396 0.4%
 
cool_python 375 0.4%
 
PythonDiario 375 0.4%
 
Python_Agent 354 0.4%
 
rssnest 341 0.3%
 
Jeffrey_MacAsk 337 0.3%
 
GovsInfo 301 0.3%
 
Other values (37916) 79208 80.5%
 

user_statuses_count
Numeric

Distinct count 23139
Unique (%) 23.5%
Missing (%) 0.0%
Missing (n) 14
Mean 63832
Minimum 1
Maximum 2357100
Zeros (%) 0.0%

Quantile statistics

Minimum 1
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 2357100
Range 2357100
Interquartile range

Descriptive statistics

Standard deviation 137480
Coef of variation 2.1538
Kurtosis 25.619
Mean 63832
MAD 79195
Skewness 4.341
Sum 6279800000
Variance 18902000000
Memory size 768.8 KiB

user_time_zone
Categorical

Distinct count 210
Unique (%) 0.4%
Missing (%) 41.3%
Missing (n) 40653
Pacific Time (US & Canada)
13368
Eastern Time (US & Canada)
 
7112
London
 
4476
Other values (206)
32784
(Missing)
40653
Value Count Frequency (%)  
Pacific Time (US & Canada) 13368 13.6%
 
Eastern Time (US & Canada) 7112 7.2%
 
London 4476 4.5%
 
Central Time (US & Canada) 3656 3.7%
 
Jakarta 3275 3.3%
 
Amsterdam 1381 1.4%
 
New Delhi 1368 1.4%
 
Atlantic Time (Canada) 1178 1.2%
 
Paris 1162 1.2%
 
Madrid 980 1.0%
 
Quito 949 1.0%
 
Mountain Time (US & Canada) 856 0.9%
 
Arizona 839 0.9%
 
Athens 744 0.8%
 
Brasilia 714 0.7%
 
Chennai 665 0.7%
 
Belgrade 631 0.6%
 
Berlin 606 0.6%
 
Buenos Aires 598 0.6%
 
Rome 534 0.5%
 
Other values (189) 12648 12.9%
 
(Missing) 40653 41.3%
 

user_url
Categorical

Distinct count 19961
Unique (%) 33.5%
Missing (%) 39.4%
Missing (n) 38739
https://t.co/LvNObmuCkf
 
3254
http://t.co/8Q0jl1AtKI
 
3035
https://t.co/Hl1m7P4xmV
 
2921
Other values (19957)
50444
(Missing)
38739
Value Count Frequency (%)  
https://t.co/LvNObmuCkf 3254 3.3%
 
http://t.co/8Q0jl1AtKI 3035 3.1%
 
https://t.co/Hl1m7P4xmV 2921 3.0%
 
https://t.co/ZxdvO1ZaiT 1001 1.0%
 
https://t.co/P4ba2SMKJa 938 1.0%
 
https://t.co/34LPPFZfCm 922 0.9%
 
https://t.co/PygshDFQhI 912 0.9%
 
http://t.co/kLxn6Xf2Cs 749 0.8%
 
https://t.co/w7yC4guo2R 431 0.4%
 
http://t.co/1m4ijr2w8A 375 0.4%
 
https://t.co/VSX5CctduJ 354 0.4%
 
https://t.co/wNpsm4ziGC 301 0.3%
 
http://t.co/ZhoOQdg9HF 243 0.2%
 
http://t.co/PVtXT9K1OX 232 0.2%
 
https://t.co/dUzwcEMlDd 217 0.2%
 
https://t.co/dUzwcEuKLF 205 0.2%
 
https://t.co/un8gIvlDUI 194 0.2%
 
https://t.co/nOHhViYGqn 173 0.2%
 
https://t.co/KQQKa5yMTG 172 0.2%
 
http://t.co/v4V1PsslQt 157 0.2%
 
Other values (19940) 42868 43.6%
 
(Missing) 38739 39.4%
 

user_utc_offset
Numeric

Distinct count 32
Unique (%) 0.1%
Missing (%) 41.3%
Missing (n) 40653
Mean -5418.3
Minimum -39600
Maximum 46800
Zeros (%) 0.3%

Quantile statistics

Minimum -39600
5-th percentile
Q1
Median
Q3
95-th percentile
Maximum 46800
Range 86400
Interquartile range

Descriptive statistics

Standard deviation 18537
Coef of variation -3.4212
Kurtosis -0.91517
Mean -5418.3
MAD 16547
Skewness 0.50367
Sum -312850000
Variance 343610000
Memory size 768.8 KiB

user_verified
Categorical

Distinct count 3
Unique (%) 0.0%
Missing (%) 0.0%
Missing (n) 14
False
98057
True
 
322
(Missing)
 
14
Value Count Frequency (%)  
False 98057 99.7%
 
True 322 0.3%
 
(Missing) 14 0.0%
 

Sample

coordinates_coordinates coordinates_type created_at entities_hashtags entities_media entities_symbols entities_urls entities_user_mentions favorite_count favorited geo_coordinates geo_type id_str in_reply_to_screen_name in_reply_to_status_id in_reply_to_status_id_str in_reply_to_user_id in_reply_to_user_id_str is_quote_status lang lat lon metadata_iso_language_code metadata_result_type place_bounding_box_coordinates place_bounding_box_type place_contained_within place_country place_country_code place_full_name place_id place_name place_place_type place_url possibly_sensitive quoted_status_created_at quoted_status_entities_hashtags quoted_status_entities_symbols quoted_status_entities_urls quoted_status_entities_user_mentions quoted_status_favorite_count quoted_status_favorited quoted_status_is_quote_status quoted_status_lang quoted_status_metadata_iso_language_code quoted_status_metadata_result_type quoted_status_possibly_sensitive quoted_status_retweet_count quoted_status_retweeted quoted_status_source quoted_status_text quoted_status_truncated quoted_status_user_contributors_enabled quoted_status_user_created_at quoted_status_user_default_profile quoted_status_user_default_profile_image quoted_status_user_description quoted_status_user_entities_description_urls quoted_status_user_entities_url_urls quoted_status_user_favourites_count quoted_status_user_followers_count quoted_status_user_friends_count quoted_status_user_geo_enabled quoted_status_user_has_extended_profile quoted_status_user_id quoted_status_user_id_str quoted_status_user_is_translation_enabled quoted_status_user_is_translator quoted_status_user_lang quoted_status_user_listed_count quoted_status_user_location quoted_status_user_name quoted_status_user_profile_background_color quoted_status_user_profile_background_image_url quoted_status_user_profile_background_image_url_https quoted_status_user_profile_background_tile quoted_status_user_profile_banner_url quoted_status_user_profile_image_url quoted_status_user_profile_image_url_https quoted_status_user_profile_link_color quoted_status_user_profile_sidebar_border_color quoted_status_user_profile_sidebar_fill_color quoted_status_user_profile_text_color quoted_status_user_profile_use_background_image quoted_status_user_protected quoted_status_user_screen_name quoted_status_user_statuses_count quoted_status_user_time_zone quoted_status_user_url quoted_status_user_utc_offset quoted_status_user_verified retweet_count retweeted retweeted_status_created_at retweeted_status_entities_hashtags retweeted_status_entities_media retweeted_status_entities_symbols retweeted_status_entities_urls retweeted_status_entities_user_mentions retweeted_status_favorite_count retweeted_status_favorited retweeted_status_id retweeted_status_id_str retweeted_status_in_reply_to_screen_name retweeted_status_in_reply_to_status_id retweeted_status_in_reply_to_status_id_str retweeted_status_in_reply_to_user_id retweeted_status_in_reply_to_user_id_str retweeted_status_is_quote_status retweeted_status_lang retweeted_status_metadata_iso_language_code retweeted_status_metadata_result_type retweeted_status_place_bounding_box_coordinates retweeted_status_place_bounding_box_type retweeted_status_place_contained_within retweeted_status_place_country retweeted_status_place_country_code retweeted_status_place_full_name retweeted_status_place_id retweeted_status_place_name retweeted_status_place_place_type retweeted_status_place_url retweeted_status_possibly_sensitive retweeted_status_quoted_status_created_at retweeted_status_quoted_status_entities_hashtags retweeted_status_quoted_status_entities_media retweeted_status_quoted_status_entities_symbols retweeted_status_quoted_status_entities_urls retweeted_status_quoted_status_entities_user_mentions retweeted_status_quoted_status_favorite_count retweeted_status_quoted_status_favorited retweeted_status_quoted_status_is_quote_status retweeted_status_quoted_status_lang retweeted_status_quoted_status_metadata_iso_language_code retweeted_status_quoted_status_metadata_result_type retweeted_status_quoted_status_place_bounding_box_coordinates retweeted_status_quoted_status_place_bounding_box_type retweeted_status_quoted_status_place_contained_within retweeted_status_quoted_status_place_country retweeted_status_quoted_status_place_country_code retweeted_status_quoted_status_place_full_name retweeted_status_quoted_status_place_id retweeted_status_quoted_status_place_name retweeted_status_quoted_status_place_place_type retweeted_status_quoted_status_place_url retweeted_status_quoted_status_possibly_sensitive retweeted_status_quoted_status_retweet_count retweeted_status_quoted_status_retweeted retweeted_status_quoted_status_source retweeted_status_quoted_status_text retweeted_status_quoted_status_truncated retweeted_status_retweet_count retweeted_status_retweeted retweeted_status_source retweeted_status_text retweeted_status_truncated retweeted_status_user_contributors_enabled retweeted_status_user_created_at retweeted_status_user_default_profile retweeted_status_user_default_profile_image retweeted_status_user_description retweeted_status_user_entities_description_urls retweeted_status_user_entities_url_urls retweeted_status_user_favourites_count retweeted_status_user_followers_count retweeted_status_user_friends_count retweeted_status_user_geo_enabled retweeted_status_user_has_extended_profile retweeted_status_user_id retweeted_status_user_id_str retweeted_status_user_is_translation_enabled retweeted_status_user_is_translator retweeted_status_user_lang retweeted_status_user_listed_count retweeted_status_user_location retweeted_status_user_name retweeted_status_user_profile_background_color retweeted_status_user_profile_background_image_url retweeted_status_user_profile_background_image_url_https retweeted_status_user_profile_background_tile retweeted_status_user_profile_banner_url retweeted_status_user_profile_image_url retweeted_status_user_profile_image_url_https retweeted_status_user_profile_link_color retweeted_status_user_profile_sidebar_border_color retweeted_status_user_profile_sidebar_fill_color retweeted_status_user_profile_text_color retweeted_status_user_profile_use_background_image retweeted_status_user_protected retweeted_status_user_screen_name retweeted_status_user_statuses_count retweeted_status_user_time_zone retweeted_status_user_url retweeted_status_user_utc_offset retweeted_status_user_verified source text truncated user_contributors_enabled user_created_at user_default_profile user_default_profile_image user_description user_entities_description_urls user_entities_url_urls user_favourites_count user_followers_count user_friends_count user_geo_enabled user_has_extended_profile user_id user_id_str user_is_translation_enabled user_is_translator user_lang user_listed_count user_location user_name user_profile_background_color user_profile_background_image_url user_profile_background_image_url_https user_profile_background_tile user_profile_banner_url user_profile_image_url user_profile_image_url_https user_profile_link_color user_profile_sidebar_border_color user_profile_sidebar_fill_color user_profile_text_color user_profile_use_background_image user_protected user_screen_name user_statuses_count user_time_zone user_url user_utc_offset user_verified quoted_status_id quoted_status_id_str retweeted_status_quoted_status_id retweeted_status_quoted_status_id_str
id
724281574129180672 NaN NaN Sun Apr 24 16:59:18 +0000 2016 [] NaN [] [{u'url': u'https://t.co/HshSAeTMYc', u'indice... [] 0 False NaN NaN 724281574129180672 NaN NaN NaN NaN NaN False en NaN NaN en recent NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.0 False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN <a href="http://twitterfeed.com" rel="nofollow... World's Largest Python Discovered in Nepal: WA... False False Tue Mar 24 14:13:53 +0000 2015 True False NaN [] [{u'url': u'http://t.co/mkBfH8QmsX', u'indices... 0.0 776.0 1910.0 True False 3.110464e+09 3.110464e+09 False False en 4.0 Lokoja, Kogi State, Nigeria. Ukpe Thompson C0DEED http://abs.twimg.com/images/themes/theme1/bg.png https://abs.twimg.com/images/themes/theme1/bg.png False https://pbs.twimg.com/profile_banners/31104639... http://pbs.twimg.com/profile_images/5852217706... https://pbs.twimg.com/profile_images/585221770... 0084B4 C0DEED DDEEF6 333333 True False newsymag 2159.0 Pacific Time (US & Canada) http://t.co/mkBfH8QmsX -25200.0 False -1.0 -1.0 -1.0 -1.0
724281535587856384 NaN NaN Sun Apr 24 16:59:09 +0000 2016 [{u'indices': [109, 119], u'text': u'developer... NaN [] [{u'url': u'https://t.co/m2mVrc3RrQ', u'indice... [{u'indices': [23, 34], u'screen_name': u'Expe... 0 False NaN NaN 724281535587856384 NaN NaN NaN NaN NaN False en NaN NaN en recent NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.0 False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN <a href="http://bufferapp.com" rel="nofollow">... "\xf0\x9f\x8e\xb7 \xf0\x9f\x92\x8e STOP! Could... False False Sun Mar 10 22:59:25 +0000 2013 False False THE best place to find a job at a startup. Bro... [] [{u'url': u'http://t.co/1ZmWTfHGbb', u'indices... 105.0 2615.0 591.0 False False 1.258139e+09 1.258139e+09 True False en 966.0 London, UK Unicorn Hunt C0DEED http://pbs.twimg.com/profile_background_images... https://pbs.twimg.com/profile_background_image... True https://pbs.twimg.com/profile_banners/12581385... http://pbs.twimg.com/profile_images/5611581146... https://pbs.twimg.com/profile_images/561158114... 0084B4 FFFFFF DDEEF6 333333 True False unicornhuntio 14193.0 London http://t.co/1ZmWTfHGbb 3600.0 False -1.0 -1.0 -1.0 -1.0
724281501622345729 NaN NaN Sun Apr 24 16:59:01 +0000 2016 [] NaN [] [{u'url': u'https://t.co/OkNkEwTDy0', u'indice... [] 0 False NaN NaN 724281501622345729 NaN NaN NaN NaN NaN False en NaN NaN en recent NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.0 False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN <a href="http://www.facebook.com/twitter" rel=... My Little Python:Changing the world: Artist of... False False Fri Aug 05 21:51:13 +0000 2011 False False My Little Python is an effort to get people, e... [] [{u'url': u'http://t.co/qDaRIvSCJo', u'indices... 11176.0 772.0 1248.0 True False 3.492971e+08 3.492971e+08 True False en 85.0 Serpentville Pythons 000000 http://abs.twimg.com/images/themes/theme1/bg.png https://abs.twimg.com/images/themes/theme1/bg.png False https://pbs.twimg.com/profile_banners/34929713... http://pbs.twimg.com/profile_images/7068950313... https://pbs.twimg.com/profile_images/706895031... F5ABB5 000000 000000 000000 False False mylittlepython 18747.0 Central Time (US & Canada) http://t.co/qDaRIvSCJo -18000.0 False -1.0 -1.0 -1.0 -1.0
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724281441157300225 NaN NaN Sun Apr 24 16:58:46 +0000 2016 [{u'indices': [0, 7], u'text': u'python'}] NaN [] [] [] 0 False NaN NaN 724281441157300225 NaN NaN NaN NaN NaN False en NaN NaN en recent NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.0 False NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN <a href="http://twitter.com" rel="nofollow">Tw... #python syntax seems to be a good pill against... False False Sat Nov 17 07:33:05 +0000 2007 True False Vilnius JUG and Vilnius Scala leader, software... [] [{u'url': u'http://t.co/BwyylijNJ8', u'indices... 325.0 309.0 222.0 False False 1.032677e+07 1.032677e+07 False False en 31.0 Vilnius Vaidas Pilkauskas C0DEED http://abs.twimg.com/images/themes/theme1/bg.png https://abs.twimg.com/images/themes/theme1/bg.png False https://pbs.twimg.com/profile_banners/10326772... http://pbs.twimg.com/profile_images/6134131342... https://pbs.twimg.com/profile_images/613413134... 0084B4 C0DEED DDEEF6 333333 True False liucijus 958.0 Vilnius http://t.co/BwyylijNJ8 10800.0 False -1.0 -1.0 -1.0 -1.0