This project analyzes the 2024 Indian General Election (Lok Sabha) results using Python and Power BI. It provides detailed insights into party-wise performance, vote margins, and candidate comparisons, with visualizations designed for both technical and non-technical audiences.

📊 Key Features Data Analysis with Python: Used pandas, matplotlib, and seaborn for analyzing and visualizing election data.

Candidate Comparison: Compared vote margins for high-profile candidates like Narendra Modi, Rahul Gandhi, and Amit Shah.

Visual Insights:

Party-wise seat distribution

Highest and lowest victory margins

Vote distribution using pie charts and histograms

Day and time-based order trends (if applicable)

Power BI Dashboard: Created an interactive dashboard to explore insights across constituencies and parties.

Data Modeling: Grouped, filtered, and connected datasets using data relationships and visual filters.

🛠️ Tools & Technologies Python, Pandas, Matplotlib, Seaborn

Power BI (Dashboards, DAX, Power Query)

Jupyter Notebook

📁 Files Included Lok_Sabha_Election_Analysis_2024.ipynb – Jupyter Notebook with full analysis

PowerBI_Final_Visualization.pbix – Power BI dashboard file