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https://github.com/shivamsharma32/superstore_analysis_sql_project
SuperStore Data Analysis in SQL. Importing data from excel and cleaning and exploring on SQL.
https://github.com/shivamsharma32/superstore_analysis_sql_project
datacleaning dataexploration mssql sql
Last synced: 13 days ago
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SuperStore Data Analysis in SQL. Importing data from excel and cleaning and exploring on SQL.
- Host: GitHub
- URL: https://github.com/shivamsharma32/superstore_analysis_sql_project
- Owner: shivamsharma32
- Created: 2024-02-03T06:21:50.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-02-03T06:34:23.000Z (11 months ago)
- Last Synced: 2024-03-10T16:48:50.663Z (10 months ago)
- Topics: datacleaning, dataexploration, mssql, sql
- Homepage:
- Size: 486 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SuperStore Data Analysis
# 1. Data Cleansing Tasks
# Data Exploration Tasks
1. List the top 10 orders with the highest sales from the EachOrderBreakdown table.
2. Show the number of orders for each product category in the EachOrderBreakdown table.
3. Find the total profit for each sub-category in the EachOrderBreakdown table.
4. Identify the customer with the highest total sales across all orders.
5. Find the month with the highest average sales in the OrdersList table.
6. Find out the average quantity ordered by customers whose first name starts with an alphabet 's'?
7. Find out how many new customers were acquired in the year 2014?
8. Calculate the percentage of total profit contributed by each sub-category to the overall profit.
9 Find the average sales per customer, considering only customers who have made more than one order.
10. Identify the top-performing subcategory in each category based on total sales. Include the sub- category name, total sales, and a ranking of sub-category within each category.