Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas

The video tutorial guides viewers through using Jupyter Notebook to perform data manipulation tasks. It starts with setting up a task to create a country field in a dataset, ensuring it only includes entries for Pakistan and China. The tutorial then demonstrates how to group data by country and calculate the sum of specific fields, using functions like 'group by'. The video concludes with a review of the grouped data and a preview of the next quiz.

What is the purpose of creating a new field called 'country' in the dataset?

• To remove unnecessary data

• To create a dictionary for all countries

• To filter data based on specific countries

• To add more countries to the dataset

Which countries are included in the new 'country' field?

• China and Japan

• India and China

• Pakistan and India

• Pakistan and China

What function is used to group data by the 'country' field?

• group by

• reduce

• map

• filter

What is the result of grouping data by the 'country' field?

• Data is sorted alphabetically

• Data is filtered by age

• Data is grouped and summed by country

• Data is duplicated

Which individuals belong to China according to the grouped data?

• Allen and Stacy

• Diana and Allen

• John and Cindy

• Stacy and Diana