Task 1: Load the Telco churn data into a PySpark DataFrame

To begin our analysis, we’ll load the Telco churn data into a PySpark DataFrame. This task consists of two subtasks:

1.1 Load the customer data into a PySpark DataFrame

We’ll first load the customer data from a suitable data source into a PySpark DataFrame using PySpark’s built-in capabilities.

1.2 Ensure the data is properly formatted and structured for analysis

Once we have loaded the data, it’s essential to ensure that the data is properly formatted and structured for analysis by printing the first five rows and the schema of the DataFrame.

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