This is analysis notebook for USA accidents that provide a very useful insights and visualization about the dataset.
This is a countrywide car accident dataset, which covers 49 states of the USA. The accident data are collected from February 2016 to Dec 2021, 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 2.8 million accident records in this dataset, This dataset has been collected in real-time, using multiple Traffic APIs. Currently, it contains accident data that are collected from February 2016 to Dec 2021 for the Contiguous United States. Check here to learn more about this dataset, US-Accidents can be used for numerous applications such as real-time car accident prediction, studying car accidents hotspot locations, casualty analysis and extracting cause and effect rules to predict car accidents, and studying the impact of precipitation or other environmental stimuli on accident occurrence. The most recent release of the dataset can also be useful to study the impact of COVID-19 on traffic behavior and accidents.
https://www.kaggle.com/datasets/sobhanmoosavi/us-accidents
-
pandas
-
seaborn
-
opdendatasets
opdendatasets is used to import data from kaggle without need to download it opendatasets
- folium
folium makes it easy to visualize data that's been manipulated in Python on an interactive leaflet map