Google Trends and Data Analysis

This repository contains code and data related to analyzing and visualizing search interest on Google Trends for various topics such as unemployment benefits, Tesla, and Bitcoin. The code is written in Python and utilizes libraries such as pandas, matplotlib, and pytrends to collect and process the data, and generate visualizations such as line charts and scatter plots. The data includes search interest values on a scale of 0-100 for specific search terms in different regions and time periods. The repository provides insights into the relationship between search interest and various events such as the unveiling of the Tesla Model 3 or the COVID-19 pandemic's impact on the unemployment rate. The repository can serve as a resource for those interested in analyzing search interest and using Google Trends data to understand the popularity of different topics over time.