├── heatmap ├── turnout ├── boxplots ├── bottom turnout ├── Age gender boxplot ├── age wise histogram ├── Gender wise participants ├── State Wise Votes polled ├── winner parties by state ├── Top 10 closely contestants └── README.md /heatmap: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/heatmap -------------------------------------------------------------------------------- /turnout: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/turnout -------------------------------------------------------------------------------- /boxplots: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/boxplots -------------------------------------------------------------------------------- /bottom turnout: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/bottom turnout -------------------------------------------------------------------------------- /Age gender boxplot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/Age gender boxplot -------------------------------------------------------------------------------- /age wise histogram: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/age wise histogram -------------------------------------------------------------------------------- /Gender wise participants: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/Gender wise participants -------------------------------------------------------------------------------- /State Wise Votes polled: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/State Wise Votes polled -------------------------------------------------------------------------------- /winner parties by state: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/winner parties by state -------------------------------------------------------------------------------- /Top 10 closely contestants: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harjotsingh13/Lok-Sabha-Election-Result-2024-Analysis/HEAD/Top 10 closely contestants -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Lok-Sabha-Election-Result-2024-Analysis 2 | 3 | This project is a comprehensive data analysis and visualization toolkit built using Python, Pandas, Matplotlib, and Seaborn. It focuses on exploring the 33 Constituency-Wise Detailed Result CSV dataset from the Indian General Elections. 4 | 5 | 🔍 Key Features: 6 | 📊 Bar Charts: Visualize gender-wise participation, top parties by vote share, voter turnout across states and constituencies. 7 | 8 | 🥧 Pie Chart: Show party-wise seat share in a constituency. 9 | 10 | 📈 Histograms: Analyze age distribution of candidates. 11 | 12 | 📦 Box Plots: Detect outliers and visualize vote/age spread. 13 | 14 | 🌡️ Heatmaps: Explore correlation between key parameters like electors, valid votes, and turnout. 15 | 16 | 📐 Z-Score Analysis: Detect statistical outliers in age and voting trends. 17 | 18 | 🏆 Winning Margins: Identify closely contested constituencies based on vote difference between top two candidates. 19 | 20 | 📂 Exportable Results: Save results like winning margins to CSV for further reporting. 21 | 22 | 📂 Dataset Used: 23 | File: 33_Constituency_Wise_Detailed_Result.csv 24 | 25 | Source: Publicly available election data for Indian Lok Sabha elections. 26 | 27 | 📚 Libraries: 28 | pandas 29 | 30 | matplotlib 31 | 32 | seaborn 33 | 34 | numpy 35 | 36 | scipy 37 | 38 | 🎯 Purpose: 39 | This project helps in understanding demographic and voting behavior trends across Indian constituencies and can be extended for academic, research, journalistic, or civic-tech purposes. 40 | --------------------------------------------------------------------------------