Task 5: Traffic Accident Data Analysis

This project is part of my internship at Prodigy Infotech (June 2025) in the Data Science domain.

📌 Objective:

To analyze traffic accident data and identify patterns based on:

• Road conditions
• Weather
• Time of day

Also visualized accident hotspots and contributing factors using data visualization techniques.

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🛠️ Tools & Libraries:

• Python
• Pandas, NumPy
• Matplotlib, Seaborn
• Plotly (optional for interactive visualizations)

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🔎 Key Steps:

1. Loaded and cleaned accident dataset
2. Performed EDA (Exploratory Data Analysis)
3. Visualized:
   • Accidents by time of day
   • Accidents by weather and road condition
   • Heatmaps for accident hotspots
4. Found correlations between different factors contributing to accidents

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✅ Insights:

• Most accidents occurred during peak traffic hours
• Poor road and weather conditions significantly increased accident probability
• Hotspot locations identified can help in preventive measures

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📁 Dataset Source:

Kaggle - UK Traffic Accidents Dataset

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👩‍💻 Anika
BTech CSE (AI & DS) | Intern at Prodigy Infotech