英国事故10年历史,有很多变量免费

jsaijsq 37 2021-08-24 自动驾驶

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英国事故10年历史,有很多变量 (http://ds.jsai.org.cn/) 自动驾驶 第1张

Context These files provide detailed road safety data about the circumstances of personal injury road accidents in GB from 2005 to 2014, Content **Accident file:** main data set contains information about accident severity, weather, location, date, hour, day of week, road type... **Vehicle file:** contains information about vehicle type, vehicle model, engine size, driver sex, driver age, car age... **Casualty file:** contains information about casualty severity, age, sex social class, casualty type, pedestrian or car passenger... **Lookup file:** contains the text description of all variable code in the three files License OGL:Open Government License http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Inspiration This dataset contains a large amount of rows and features to explore. # Data Wrangling: - Merge different files - Map column code with their text strings fro a lookup table. - How do you map lat/long to a country a city? # Data Explanatory: - How the weather impact the number or severity of an accident? - Does driver age has an effect on the number of accident? - What is the relation between hour, day, week, month with number of fatal accident? - Are certain car models safer than others? - Is the social class of a casualty dependant of the accident severity? # Forecasting: - Can you forecast the future daily/weekly/monthly accidents? - What about fatal accidents can you predict them? - Can you predict if an accident was fatal ?(similar to Titanic prediction but with more row and more variables) Feel free to suggest other external data to this dataset.

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