Election-Data-Analysis-Python This repository focuses on analyzing election data using Python, Pandas, Matplotlib, and Seaborn. It provides insights into voter turnout trends, candidate performance, and party-wise comparisons. The project includes data cleaning, preprocessing, exploratory data analysis (EDA), and visualizations to uncover key electoral patterns.

The project includes: ✅ Data Cleaning & Preprocessing ✅ Exploratory Data Analysis (EDA) ✅ Data Visualization using Matplotlib & Seaborn ✅ Statistical Insights on Electoral Trends ✅ Comparative Analysis of Parties & Candidates

Key Features: 📊 Voter Turnout Trends: Heatmaps, line charts, and scatter plots for participation insights. 🗳️ Party-Wise Performance: Vote share comparisons, bar charts, and trend analysis. 👥 Gender-Based Candidate Analysis: Vote share and success rate comparison of male vs. female candidates. 📍 State-Wise Electoral Insights: Competitive analysis of different states over multiple elections. 📉 Margin Analysis: Smallest and largest victory margins with detailed visualizations.