https://github.com/naitiknayak196/tech-layoffs-cleaning-sql-vs-python
This project cleans and analyzes a tech layoffs dataset using MySQL and Python (Pandas) to compare their efficiency in data processing. It provides business insights into workforce trends, industry stability, and economic impacts to support data-driven decision-making.
https://github.com/naitiknayak196/tech-layoffs-cleaning-sql-vs-python
data datacleaning dataset jyputer-notebook layoffdata layoffs mysql python sql
Last synced: about 2 months ago
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This project cleans and analyzes a tech layoffs dataset using MySQL and Python (Pandas) to compare their efficiency in data processing. It provides business insights into workforce trends, industry stability, and economic impacts to support data-driven decision-making.
- Host: GitHub
- URL: https://github.com/naitiknayak196/tech-layoffs-cleaning-sql-vs-python
- Owner: naitiknayak196
- Created: 2025-02-25T18:20:43.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-25T20:06:27.000Z (over 1 year ago)
- Last Synced: 2025-02-25T21:19:20.936Z (over 1 year ago)
- Topics: data, datacleaning, dataset, jyputer-notebook, layoffdata, layoffs, mysql, python, sql
- Language: Jupyter Notebook
- Homepage:
- Size: 89.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0