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Using pandas functions effectively

You are creating a Python application that will calculate summary statistics based on user-selected variables. The complete dataset is quite large. For now, you are setting up your code using part of the dataset, preloaded as adult. As you create a reusable process, make sure you are thinking through the most efficient way to setup the GroupBy object.

Bu egzersiz

Working with Categorical Data in Python

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • Create a list of the names for two user-selected variables: "Education" and "Above/Below 50k".
  • Create a GroupBy object, gb, using the user_list as the grouping variables.
  • Calculate the mean of "Hours/Week" across each group using the most efficient approach covered in the video.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Create a list of user-selected variables
user_list = ____

# Create a GroupBy object using this list
gb = ____

# Find the mean for the variable "Hours/Week" for each group - Be efficient!
print(____)
Kodu Düzenle ve Çalıştır