Numeric data or ... ?
In this exercise, and throughout this chapter, you'll be working with bicycle ride sharing data in San Francisco called ride_sharing. It contains information on the start and end stations, the trip duration, and some user information for a bike sharing service.
The user_type column contains information on whether a user is taking a free ride and takes on the following values:
1for free riders.2for pay per ride.3for monthly subscribers.
In this instance, you will print the information of ride_sharing using .info() and see a firsthand example of how an incorrect data type can flaw your analysis of the dataset. The pandas package is imported as pd.
Bu egzersiz
Cleaning Data in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Print the information of ride_sharing
print(____.____())
# Print summary statistics of user_type column
print(ride_sharing['____'].____())