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Road Traffic Accidents Analysis

Developed as part of the Gauss Scientific Club by Dominik Kukla, Wojciech Kowal, and Mariia Kopylova.
This project analyzes the "Road Traffic Accidents" dataset from Kaggle using Python, Pandas, and Plotly.

Dataset Overview

  • Collected from Addis Ababa Sub-city police departments (2017–2020).
  • Contains 32 features and 12,316 records.

Project Highlights

  • Data preprocessing and cleaning.
  • Numerical, univariate, and multivariate analysis.
  • Insightful visualizations.
  • Conclusions and key findings based on the data.

Installation

Step 1: Set Up Kaggle API Key

  1. Log in to Kaggle, go to Account > API, and click Create New API Token to download kaggle.json.
  2. Place kaggle.json in:
    • Linux/macOS: ~/.kaggle/
    • Windows: %USERPROFILE%\.kaggle\

Step 2: Configure .env File

Create a .env file in the project root with:

DATASET_PATH="saurabhshahane/road-traffic-accidents"

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  • Jupyter Notebook 98.1%
  • Python 1.9%