Data Analysis of Road Traffic Accidents to Minimize the rate of accidents
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Updated
May 18, 2018 - Python
Data Analysis of Road Traffic Accidents to Minimize the rate of accidents
🔍 A tool to explore Brazil traffic accident
A categorical analysis approach to predicting level of car accident severity in Pennsylvania, USA, based on 2019 data
This repo will be mainly used for the Applied Data Science Capstone, which is the icing on the cake of the DataSc Professional certificate by IBM.
Analysis of spatio demographic dimensions of traffic accidents in Saudi Arabia in 2018-2019.
Time series analysis of monthly traffic accidents casualties in Saudi Arabia through the years 2015 to 2018. The time series is however analyzed based on the Hijri lunar calendar years 1437, 1438, 1439.
Detection of spatio temporal hotspots of traffic accidents in Saudi Arabia for the years 2015 to 2018. The data is aggregated nonetheless using Hijri calendar years 1437, 1438, 1439. Each Hijri year consists of 12 months and approx. 355 days.
Spatio-temporal hotspot analysis of traffic accidents in Saudi Arabia. The analysis is conducted using Python PySAL library on traffic accidents data from the years 2015 to 2018. The results are presented using Plotly library.
Exploratory Data Analysis on a traffic accident dataset from the Contiguous United States, focusing on the weather/environmental factors
CMSC 198.2: Special Project on Traffic Accident Spatial Analysis using Geospatial Data Science with ArcGIS
Data parsing and vizualization of road accidents on federal highways in Russia
The aim of the project is to build prediction models to classify severity of road traffic accidents (slight injury, serious injury or fatal injury) based on various relevant information regarding the involved vehicles, drivers, casualties and surrounding conditions.
Analyzing traffic accident data
Task 5 of the Prodigy infotech Data science internship
Nutshell is an Web Application, Designed for Karnataka State Police to Predict and analysis Accidents
Nutshell is an Web Application, Designed for Karnataka State Police to Predict and analysis Accidents
This project provides analysis of petrol prices worldwide and traffic accidents in Pakistan over an 11-year period. By leveraging data visualization and analysis techniques, the project extracts meaningful insights and patterns from the given datasets, answering key questions related to traffic accidents and exploring global petrol price trends.
Accident analysis project: modular Python application for analyzing road accident data, providing valuable insights to improve road safety.
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