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
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.
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.
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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.
Analysis of spatio demographic dimensions of traffic accidents in Saudi Arabia in 2018-2019.
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Accident analysis project: modular Python application for analyzing road accident data, providing valuable insights to improve road safety.
Task 5 of the Prodigy infotech Data science internship
Nutshell is an Web Application, Designed for Karnataka State Police to Predict and analysis Accidents
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Data parsing and vizualization of road accidents on federal highways in Russia
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