A pandas DataFrame with 100000 rows and 27 columns. Nulls: 56042. Memory: 27.9 MB. Columns: photoID (str, 13903 nulls, cardinality: 1549 unique values out of 10000), rater1 (float64, 13903 nulls, stats: range 0 to 1, mean 0.26, std 0.29), rater2 (float64, 13903 nulls, stats: range 0 to 1, mean 0.3, std 0.29). Sample row: {'playerShort': "'lucas-wilchez'", 'player': "'Lucas Wilchez'", 'club': "'Real Zaragoza'", 'leagueCountry': "'Spain'", 'birthday': "'31.08.1983'", 'height': '177.0', 'weight': '72.0', 'position': "'Attacking Midfielder'", 'games': '1', 'victories': '0', 'ties': '0', 'defeats': '1', 'goals': '0', 'yellowCards': '0', 'yellowReds': '0', 'redCards': '0', 'photoID': "'95212.jpg'", 'rater1': '0.25', 'rater2': '0.5', 'refNum': '1', 'refCountry': '1', 'meanIAT': '0.326391469', 'nIAT': '712.0', 'seIAT': '0.0005641123543', 'meanExp': '0.396', '...': '(27 total keys)'}. (profiled from a sample of the first 100,000 rows; pass full=True to read all)