Election Dataset Analysis

This project analyzes the 2024 Indian Lok Sabha election results using Python and Jupyter Notebook. The dataset includes details about constituencies, candidates, parties, margins, and result statuses.

Features

• Data loading and cleaning (handling missing values, correcting data issues)
• Exploratory data analysis (EDA) with summary statistics
• Insights into leading and trailing parties and candidates
• Data corrections for duplicate constituency names
• Aggregation of party-wise results
• Data Visualization:
  • Horizontal bar chart of leading party seat counts
  • Donut pie chart showing party-wise seat distribution
  • Histogram of victory margins
  • Bar chart of top 10 candidates by victory margin

How to Run

1. Open main.ipynb in Jupyter Notebook or VS Code.
2. Run the cells sequentially to load the data, perform analysis, and view the visualizations.

Requirements

• Python 3.x
• pandas
• numpy
• matplotlib

Install dependencies using:

pip install -r requirement.txt

Dataset

• election_results_2024.csv: Contains the election results data.

Visualizations

The notebook generates:

• A horizontal bar chart showing the number of seats won by each leading party (with minor parties grouped as "Others").
• A donut pie chart for party-wise seat distribution.
• A histogram showing the distribution of victory margins across constituencies.
• A bar chart of the top 10 candidates with the highest victory margins.

Observations

• BJP is the leading party with control over 240 constituencies.
• INC is trailing in 167 constituencies.
• Margin is unique for each constituency, with 329,991 as the highest.
• Results have been declared for 542 out of 543 constituencies.

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Feel free to explore and modify the notebook for deeper insights!