Pandas for Everyone: Python Data Analysis, 2nd Edition

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New York ACS Logistic Regression Example

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import pandas as pd

acs = pd.read_csv('data/acs_ny.csv')
print(acs.columns)

Index(['Acres', 'FamilyIncome', 'FamilyType', 'NumBedrooms', 'NumChildren',
       'NumPeople', 'NumRooms', 'NumUnits', 'NumVehicles', 'NumWorkers',
       'OwnRent', 'YearBuilt', 'HouseCosts', 'ElectricBill', 'FoodStamp',
       'HeatingFuel', 'Insurance', 'Language'],
     dtype='object')

print(acs.head())

 Acres FamilyIncome  FamilyType NumBedrooms NumChildren NumPeople \
0 1-10          150     Married           4           1         3
1 1-10          180 Female Head           3           2         4
2 1-10          280 Female Head           4           0         2
3 1-10          330 Female Head           2           1         2
4 1-10          330   Male Head           3           1         2

 Num Num Num Num Own Year \ Rooms Units Vehicles Workers Rent Built 0 9 Single detached 1 0 Mortgage 1950-1959 1 ...