This project analyzes global search interest for selected keywords using Google Trends data. It focuses on understanding how interest in a topic varies across different regions through data analysis and visualization.
- Analyze worldwide interest for selected keywords
- Identify top countries showing maximum search interest
- Visualize regional trends using charts
- Python
- Pytrends (Google Trends API wrapper)
- Plotly
- Pandas
- Matplotlib
- Jupyter Notebook
- Connect to Google Trends using pytrends
- Build payload for selected keywords
- Fetch interest-by-region data
- Sort and filter top regions
- Visualize results using bar charts
- Clone the repository
- Install required libraries pip install pytrends pandas matplotlib
- Open google-trend.ipynb in Jupyter Notebook or VS Code
- Run all cells to view the analysis and visualizations