US Accidents Analysis

Pegah Tavangar

Data Scientist
Data Analyst
NLTK
Python
US Road Accident Analysis
This repository contains an extensive analysis of road accidents in the United States from 2016 to 2023. The project aims to identify patterns and factors contributing to accident severity and rates, providing insights that could help in enhancing road safety measures.
Project Overview:
I investigate several aspects of road accidents, including the impact of environmental conditions, time factors, geographic locations, and traffic control features on accident severity and occurrence. A critical part of the analysis also involves comprehensive data preprocessing, where handling missing values plays a key role in ensuring the accuracy and reliability of our findings.
The analysis seeks to answer critical questions such as:
How do different times of the day affect accident severity?
What times of the year and days of the week experience the most accidents?
Are certain geographic regions prone to higher accident rates?
What role do weather conditions play in accident occurrences?
How do road types correlate with accident severity?
How do descriptions of accidents reveal common themes or factors contributing to their occurrence and severity?
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