Google Trends and Data Visualization

An interactive Python project that fetches real-time Google search trends using the Pytrends API and visualizes the data using Matplotlib. This project helps analyze trending topics, search interest over time, and regional trends.

Features

• Real-time Trends: Fetch the latest Google search trends.
• Customizable Queries: Set keywords, timeframes, and categories for analysis.
• Interactive Data Visualization: Generate plots for search interest over time.
• Geographical Analysis: Analyze trends based on specific regions.
• Historical Data Analysis: Fetch trends for past years and compare search patterns.

Screenshots

Technologies Used

• Python: Core programming language.
• Pytrends: To fetch Google Trends data.
• Pandas: For data manipulation and analysis.
• Matplotlib: To create visualizations.
• Jupyter Notebook: For interactive execution.

Prerequisites

• Python 3.x installed
• Install dependencies using:

  pip install pandas pytrends matplotlib
  

Getting Started

1. Clone the repository: git clone git clone https://github.com/PraveenNPatil07/Google_Trends_and_Data_Visualisation.git
2. Navigate to the project folder: cd Google_Trends_and_Data_Visualisation
3. Run the app: jupyter notebook Google_Trends_and_Data_Visualisation.ipynb