https://github.com/dimitriskatos/retail_sales_amount

https://github.com/dimitriskatos/retail_sales_amount

cleaning-data descriptive-statistics inferential-statistics regression visuzalization

Last synced: 7 months ago
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• Host: GitHub
• URL: https://github.com/dimitriskatos/retail_sales_amount
• Owner: DimitrisKatos
• Created: 2024-02-04T14:47:25.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-02-04T15:39:39.000Z (over 1 year ago)
• Last Synced: 2025-02-12T14:17:36.138Z (9 months ago)
• Topics: cleaning-data, descriptive-statistics, inferential-statistics, regression, visuzalization
• Language: Jupyter Notebook
• Homepage:
• Size: 1.3 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
##  Retail Sales amount 

In this repository we do the following:

- Cleaning data and preparation.

- Descriptive statistics, we calculate some basic statistics like mean and std.

- Visualize some results like sales trends per quarte, customere demographics and product performance.

- Inferential statistics, we apply some hypothesis tests to draw conclusions from the data.

- Check if linear regression models or multi-variable regression analysis help us predict the sales amount.