Apache Spark 3 for Data Engineering and Analytics with Python - Adding, Renaming, and Dropping Columns

Apache Spark 3 for Data Engineering and Analytics with Python - Adding, Renaming, and Dropping Columns

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial covers how to manipulate dataframes in PySpark by adding, renaming, and dropping columns. It begins with setting up the environment and importing necessary functions. The tutorial demonstrates adding a 'salary increase' column, verifying its addition, and performing advanced operations like renaming and dropping columns. The session concludes with finalizing changes and addressing any errors encountered.

Read more

7 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the main operations you can perform on a data frame as mentioned in the lesson?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you add a new column to a data frame?

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the 'withColumn' function in data frame operations?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you confirm the addition of a new column in a data frame?

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to rename a column in a data frame.

Evaluate responses using AI:

OFF

6.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of rounding off values in a new column.

Evaluate responses using AI:

OFF

7.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in dropping a column from a data frame?

Evaluate responses using AI:

OFF