--- title: Data Handling Guidebook keywords: fastai sidebar: home_sidebar summary: "The one stop shop to learn about data intake, processing, and visualization." ---

This homepage will show you just some of the things you can do with data.

Install

Either:

pip install your_project_name

from google.colab import drive
drive.mount('/content/drive/My Drive/colabs/test_template')

OR:

from test_template.acsDownload import retrieve_acs_data
/usr/local/lib/python3.6/dist-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use "pip install psycopg2-binary" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.
  """)

How to use

Fill me in please! Don't forget code examples:

# Our download function will use Baltimore City's tract, county and state as internal paramters
# Change these values in the cell below using different geographic reference codes will change those parameters
tract = '*'
county = '510'
state = '24'

# Specify the download parameters the function will receieve here
tableId = 'B19001'
year = '17'
saveAcs = True
df = retrieve_acs_data(state, county, tract, tableId, year, saveAcs)
df.head()
Number of Columns 17
B19001_001E_Total B19001_002E_Total_Less_than_$10_000 B19001_003E_Total_$10_000_to_$14_999 B19001_004E_Total_$15_000_to_$19_999 B19001_005E_Total_$20_000_to_$24_999 B19001_006E_Total_$25_000_to_$29_999 B19001_007E_Total_$30_000_to_$34_999 B19001_008E_Total_$35_000_to_$39_999 B19001_009E_Total_$40_000_to_$44_999 B19001_010E_Total_$45_000_to_$49_999 B19001_011E_Total_$50_000_to_$59_999 B19001_012E_Total_$60_000_to_$74_999 B19001_013E_Total_$75_000_to_$99_999 B19001_014E_Total_$100_000_to_$124_999 B19001_015E_Total_$125_000_to_$149_999 B19001_016E_Total_$150_000_to_$199_999 B19001_017E_Total_$200_000_or_more state county tract
NAME
Census Tract 1901 796 237 76 85 38 79 43 36 35 15 43 45 39 5 0 6 14 24 510 190100
Census Tract 1902 695 63 87 93 6 58 30 14 29 23 38 113 70 6 32 11 22 24 510 190200
Census Tract 2201 2208 137 229 124 52 78 87 50 80 13 217 66 159 205 167 146 398 24 510 220100
Census Tract 2303 632 3 20 0 39 7 0 29 8 9 44 29 98 111 63 94 78 24 510 230300
Census Tract 2502.07 836 102 28 101 64 104 76 41 40 47 72 28 60 19 27 15 12 24 510 250207