Session Ready
Exercise

Inspecting data in PySpark DataFrame

Inspecting data is very crucial before performing analysis such as plotting, modeling, training etc., In this simple exercise, you'll inspect the data in the people_df DataFrame that you have created in the previous exercise using basic DataFrame operators.

Remember, you already have a SparkSession spark and a DataFrame people_df available in your workspace.

Instructions
100 XP
  • Print the first 10 observations in the people_df DataFrame.
  • Count the number of rows in the people_df DataFrame.
  • How many columns does people_df DataFrame have and what are their names?
Loading