Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 3 - Q2 Get the City that Sold the Most Pr

The video tutorial guides viewers through analyzing sales data to determine which city sold the most products. It begins with an introduction to the problem and an overview of the data. The instructor demonstrates how to group the data by city and aggregate the product quantities to find the total products sold per city. The results are then visualized using a bar plot, with San Francisco identified as the city with the highest sales. The tutorial concludes with a demonstration of how to adjust the visualization settings for better clarity.

What is the first step in analyzing the sales data to determine the city with the most product sales?

• Create a bar plot

• Group the data by city

• Select the order ID, quantity, and city columns

• Print out the entire dataframe

Which columns are necessary to answer the question about the city with the most sales?

• Order ID, product name, and quantity

• Product name, quantity, and city

• Order ID, quantity, and city

• Order ID, product name, and city

How is the data grouped to find the city with the highest sales?

• By product name

• By city

• By order ID

• By quantity

Which city was identified as having the most product sales?

• San Francisco

• New York

• Chicago

• Los Angeles

What type of plot is used to visualize the total products sold per city?

• Line plot

• Pie chart

• Bar plot

• Scatter plot