https://github.com/quantumudit/sales-statistical-analysis

This project focuses on a statistical analysis (using SQL queries) of various key metrics that impacts the overall sales of a certain fictitious store.
https://github.com/quantumudit/sales-statistical-analysis

data-analysis postgresql sales-analysis sql statistics

Last synced: about 1 month ago
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This project focuses on a statistical analysis (using SQL queries) of various key metrics that impacts the overall sales of a certain fictitious store.

• Host: GitHub
• URL: https://github.com/quantumudit/sales-statistical-analysis
• Owner: quantumudit
• License: other
• Created: 2022-12-20T19:08:24.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2022-12-20T19:12:52.000Z (over 3 years ago)
• Last Synced: 2025-08-01T04:48:53.618Z (11 months ago)
• Topics: data-analysis, postgresql, sales-analysis, sql, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 66.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

          
![Project Logo][project_logo]

---

Analyzing Sales Statistics














  Overview •

  Credits •

  Support •

  License



## Overview

This project focuses on a statistical analysis of various key metrics that impacts the overall sales of a certain fictitious store. We received one year data with daily granularity of the store to perform the analysis. 

The repository directory structure is as follows:

Sales-Statistical-Analysis


├─ 01_DATABASE


├─ 02_ANALYSIS


├─ RESOURCES


The type of content present in the directories is as follows:

**01_DATABASE**

This directory has the database that we are going to use. We have a SQL script that we can run to get the database ready.

> The SQL flavor used in the SQL script is **pgSQL**

**02_ANALYSIS**

This directory contains the SQL Notebook that performs the analysis of the data and provides insight.

> The SQL Notebooks are basically the `.ipynb` files with SQL kernel and can be edited through Azure Data Studio (ADS)

> The SQL flavor used in the solution queries is **pgSQL**

**RESOURCES**

This directory contains images, icons, layouts, etc. that are used in this project.

## Credits

The database and inspirations of various statistical analysis is taken from a online course named [SQL for Statistics Essential Training][credits_link] by Dan Sullivan, hosted by Linkedin Learning platform.

## Support

If you have any doubts, queries or, suggestions then, please connect with me in any of the following platforms:

[![Linkedin Badge][linkedinbadge]][linkedin] [![Twitter Badge][twitterbadge]][twitter]

If you like my work then, you may [Buy me a coffee][buy_me_a_coffee]







## License



    



This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.

[project_logo]: RESOURCES/project_cover_image.png

[credits_link]: https://www.linkedin.com/learning/sql-for-statistics-essential-training/

[linkedin]: https://www.linkedin.com/in/uditkumarchatterjee/

[twitter]: https://twitter.com/quantumudit

[buy_me_a_coffee]: https://www.buymeacoffee.com/quantumudit

[linkedinbadge]: https://img.shields.io/badge/-uditkumarchatterjee-0e76a8?style=flat&labelColor=0e76a8&logo=linkedin&logoColor=white

[twitterbadge]: https://img.shields.io/badge/-@quantumudit-1ca0f1?style=flat&labelColor=1ca0f1&logo=twitter&logoColor=white&link=https://twitter.com/quantumudit