https://github.com/misszeferino/us-traffic-accidents-analysis

Exploratory Data Analysis using Python
https://github.com/misszeferino/us-traffic-accidents-analysis

data-analysis matplotlib numpy pandas python seaborn

Last synced: about 2 months ago
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Exploratory Data Analysis using Python

• Host: GitHub
• URL: https://github.com/misszeferino/us-traffic-accidents-analysis
• Owner: misszeferino
• Created: 2021-11-20T09:13:00.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-20T11:50:03.000Z (about 3 years ago)
• Last Synced: 2023-11-21T18:33:31.810Z (about 1 year ago)
• Topics: data-analysis, matplotlib, numpy, pandas, python, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 3.93 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# US Traffic Accidents Analysis

## Introduction

This is Exploratory Data Analysis using Python of the "US Traffic Accidents". The purpose of this project is to find out and visualize the data's main characteristics and trends using statistical methods and data visualization techniques.

## Objective

The purpose of this analysis is to answer the following questions:

* Which States and Cities have the most traffic accidents?

* What is the time of the day, the day of the week and the month with the higher number of accidents?

* How many accidents per year? And what is the trend, increasing or decreasing?

* What are the most common weather conditions on the days of the accidents?

* How many accidents have a severity level of 1, 2, 3 and 4?

## About Dataset

**US-Accidents: A Countrywide Traffic Accident Dataset**

The data can be found in Kaggle. This is a countrywide car accident dataset, which covers 49 states of the USA. The accident data are collected from February 2016 to Dec 2020, using multiple APIs that provide streaming traffic incident (or event) data. These APIs broadcast traffic data captured by a variety of entities, such as the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road networks. Currently, there are about 1.5 million accident records in this dataset. Check here to learn more about this dataset.

### Libraries Used: