https://github.com/its-kanii/google-search-engine-analysis
Google Search Engine Analysis - My first Project
https://github.com/its-kanii/google-search-engine-analysis
analysis data-visualization google google-search-results google-search-using-python python search-engine
Last synced: 1 day ago
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Google Search Engine Analysis - My first Project
- Host: GitHub
- URL: https://github.com/its-kanii/google-search-engine-analysis
- Owner: its-kanii
- Created: 2024-09-17T05:22:52.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-26T16:01:21.000Z (over 1 year ago)
- Last Synced: 2025-09-29T23:55:45.852Z (9 months ago)
- Topics: analysis, data-visualization, google, google-search-results, google-search-using-python, python, search-engine
- Language: Jupyter Notebook
- Homepage: https://github.com/its-kanii/Google-Search-Engine-Analysis
- Size: 216 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Google Search Engine Analysis
This project analyzes search trends for the keyword "Data Science" using Google Trends data.
## What it does:
- Fetches search data for "Data Science."
- Shows which regions are most interested in this topic.
## How to use:
1. Clone this project:
```bash
git clone
2. Install the required tools
pip install pytrends pandas
3. Open the GSEA.ipynb file in Jupyter Notebook and run the code.
What you'll get:
A list of regions ranked by how much people search for "Data Science."
Requirements:
1. Python
2. Jupyter Notebook
License:
MIT License
This version keeps it simple and focuses on the basics. You can follow the same steps to upload this version to GitHub.