https://github.com/mrlmic/purchasing-power
Python/ Typescript project to make ownership information available to consumers.
https://github.com/mrlmic/purchasing-power
etl-pipeline figma jupyter-notebook pandas-dataframes python sqlite
Last synced: 2 months ago
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Python/ Typescript project to make ownership information available to consumers.
- Host: GitHub
- URL: https://github.com/mrlmic/purchasing-power
- Owner: MRLmic
- Created: 2024-11-19T02:06:05.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-11-23T00:40:11.000Z (6 months ago)
- Last Synced: 2025-01-24T01:52:08.378Z (4 months ago)
- Topics: etl-pipeline, figma, jupyter-notebook, pandas-dataframes, python, sqlite
- Language: Jupyter Notebook
- Homepage:
- Size: 42 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Purchasing Power
## Searchable Front-End for Supporting Small Businesses
## Overview
This project aims to provide a **searchable front-end** based on CSV data collected from the [Cancel This Clothing Company Resources](https://cancelthisclothingcompany.com/resources/). The goal is to empower consumers with information that enables them to make informed decisions about which businesses to support, avoid contributing to investment firms approaching a monopolistic hold, and promote small businesses and healthy competition.
Read more [here from the American Economic Liberties Project](https://www.economicliberties.us/our-work/new-money-trust/)
## Purpose
My intention for the project is to provide an easy-to-use interface where users can search through various businesses listed in the CSV files. By offering data about these businesses, it helps consumers:
- **Support small businesses** over large corporations.
- **Avoid monopolistic companies** and make choices that promote competition.
- **Make informed purchasing decisions** by evaluating the social and environmental impact of different brands.
## Starting small and scaling from there:
- The first items to be searchable will be personal care products including:
- feminine hygeine products
- toothpaste
- paper towels and toilet paper
- shampoo
- baby care products
- deoderant
- skincare
## Technologies
- I am utilizing a python script and the pandas library to normalize .csv files and insert them into a sqlite database.
- I'm using [sqlite viewer](https://sqliteviewer.app/) to view my sqlite database's contents.
- My mockup was created using Figma.
## Figma Mock-up
