What are we predicting?

Which of these fields (or columns) is the value we are trying to predict for?

Это упражнение является частью курса

Feature Engineering with PySpark

From the listed columns above, identify which one we will use as our dependent variable $Y$ .
Using the loaded data set df, filter it down to our dependent variable with select(). Store this dataframe in the variable Y_df.
Display summary statistics for the dependent variable using describe() on Y_df and calling show() to display it.

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Select our dependent variable
Y_df = df.____([____])

# Display summary statistics
Y_df.____().____()