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SQL Challenge 1 – Steve’s Car Showroom

In this SQL project, we delve into the fascinating world of data analysis, a crucial tool for informed decision-making. By transforming the raw data retrieved from Steve’s Car Showroom into valuable insights, we will drive his business towards success. Let’s go!

Problem Statement

Steve runs a top-end car showroom, but his data analyst has just quit and left him without his crucial insights. Can you analyze the following data to provide him with all the answers he requires?

Tables

Here are the tables you will be using:

Steve’s Car Showroom Datasets

Schema SQL

Entity Relationship Diagram

Questions

Click here to follow along and answer the questions:

  1. What are the details of all cars purchased in the year 2022?

  2. What is the total number of cars sold by each salesperson?

  3. What is the total revenue generated by each salesperson?

  4. What are the details of the cars sold by each salesperson?

  5. What is the total revenue generated by each car type?

  6. What are the details of the cars sold in the year 2021 by salesperson ‘Emily Wong’?

  7. What is the total revenue generated by the sales of hatchback cars?

  8. What is the total revenue generated by the sales of SUV cars in the year 2022?

  9. What is the name and city of the salesperson who sold the most number of cars in the year 2023?

  10. What is the name and age of the salesperson who generated the highest revenue in the year 2022?

Conclusion

This SQL project offers valuable insights into the world of data analysis, showcasing its significance as a vital tool for informed decision-making. Steve’s Car Showroom project informs us about cars purchased, salesperson performance, and revenue generation throughout the years. This is achieved by identifying popular cars, evaluating the sales team, and acknowledging high-earning salespeople. These insights are key to driving Steve’s Car Showroom towards success and prosperity by enabling data-driven decision-making and optimizing business operations.

Adopted form Steel Data.

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