https://github.com/jsd115/sql_project

https://github.com/jsd115/sql_project

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/jsd115/sql_project
• Owner: jsd115
• Created: 2024-09-10T04:42:26.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-10T14:00:11.000Z (almost 2 years ago)
• Last Synced: 2025-01-20T11:09:58.271Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 598 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# SQL Project Using SQLAlchemy

## Project Overview

This project leverages the power to create local databases from `SQLAlchemy` and `Pandas`. The project queries the database and yields new dataframe object that are used to create charts using `Plotly`. 

The final step is then creating a `Dash` application to convey the visualizations in a deployable and interpretable manner. 

## Libraries Used

* Pandas: https://pandas.pydata.org/pandas-docs/stable/index.html 

* SQLAlchemy: https://www.sqlalchemy.org/

* Plotly: https://plotly.com/python/ 

* Dash: https://dash.plotly.com/

## Dataset Link

https://www.kaggle.com/datasets/harunrai/digital-wallet-transactions 

## Example Output

### Locations Sorted by the Average Product Amount:

![Locations Sorted by the Average Product Amount](https://github.com/jsd115/sql_project/blob/main/outputs/Locations%20by%20Product%20Amount.jpeg)

### Sum of Product Amount by Product Category:

![Sum of Product Amount by Product Category](https://github.com/jsd115/sql_project/blob/main/outputs/Sum%20of%20Product%20Amount%20by%20category.jpeg)

### Count of Different Device Usages in the Regions sorted by Average Sales:

![Count of Different Device Usages in the Regions sorted by Average Sales](https://github.com/jsd115/sql_project/blob/main/outputs/Device%20Usages%20by%20Region.jpeg)

### Top Ten Most Popular Merchant Names:

![Top Ten Most Popular Merchant Names](https://github.com/jsd115/sql_project/blob/main/outputs/Merchant%20Popularity.jpeg)

### Payment Methods in Regions:

![Payment Methods in Regions](https://github.com/jsd115/sql_project/blob/main/outputs/Count%20of%20Payment%20Methods%20in%20Regions.jpeg)

### Regions sorted by the Most Loyalty Points:

![Regions sorted by the Most Loyalty Points](https://github.com/jsd115/sql_project/blob/main/outputs/Loyalty%20Points.jpeg)