https://github.com/petermatts/carstats

This project aims to compile a list of key statistics across all common car models and brands, for ease of comparison for a user.
https://github.com/petermatts/carstats

data-processing selenium-python statistics

Last synced: about 2 months ago
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This project aims to compile a list of key statistics across all common car models and brands, for ease of comparison for a user.

• Host: GitHub
• URL: https://github.com/petermatts/carstats
• Owner: petermatts
• Created: 2022-12-01T06:23:02.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-16T19:31:50.000Z (4 months ago)
• Last Synced: 2024-09-17T00:45:14.921Z (4 months ago)
• Topics: data-processing, selenium-python, statistics
• Language: Python
• Homepage:
• Size: 756 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: Docs/README.md

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README

        
# Documentation/Important Docs

This folder contains the documentation for which the design of this project is based on. Notes and designs and all that jazz.

## Files

### Base

`Base.csv` serves as the base header for the CSV files in the `Data` folder. It is essentially a list of all attributes/specs stored.

`Base.txt` is used to make `Base.csv` and is generated by parsing all data for all specs attribute names.

### Status files

`HistoryScrapeStatus.xlsx` is used to track which brands have gotten webscraped and have up to date information.

### Testing

`regex_testing.txt` is used for regular expression testing when parsing data.

### Useful reference links

`UsefulLinks.txt` has some cool/helpful links

### All Links

`AllLinks.txt` is a compilation of all base form links for scraping (some may not be accurate), an issue that is handled elsewhere in the scraping process