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πŸš— US Accidents EDA (Exploratory Data Analysis)

This project explores the US Accidents (2016 - 2023) dataset from Kaggle. The goal is to understand patterns in road accidents across the United States using data visualization and exploratory analysis techniques.

πŸ” About the Dataset

  • Source: US Accidents (2016 - 2023)

  • Size: ~ 7.7 million accident records

  • Coverage: Covers multiple states with features such as location, weather, time, and severity


πŸ“Œ Key Objectives

  • Analyze accident severity distribution

  • Explore accident trends by state, time, and weather

  • Visualize data using plots (heatmaps, histograms, bar charts, etc.)

  • Identify correlations and potential risk factors


πŸ“Š Tools & Libraries Used

  • Python

  • Pandas

  • Matplotlib & Seaborn

  • Jupyter Notebook


πŸ“ Files

Jupyter Notebook – Main notebook containing the analysis

About

This project explores the US Accidents (2016 - 2023) dataset from Kaggle. The goal is to understand patterns in road accidents across the United States using data visualization and exploratory analysis techniques.

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