Data Analysis on Lok Sabha Elections

This study presents a comprehensive analysis of Lok Sabha election results by utilizing data extraction and performance metrics. The research aims to identify trends in voter turnout, party performance, and candidate success across diverse constituencies. Through the use of web scraping, data cleaning, and processing, the study offers insights into shifting voter preferences and political dynamics at national and regional levels. Data is extracted using automated tools like Selenium and BeautifulSoup, cleaned using Python’s Pandas library, and structured into a CSV file. This structured dataset is further analyzed and visualized through tools like Power BI and Tableau, facilitating a clearer understanding of electoral outcomes and trends.