英国近10年交通事故数据集，包含事故车辆、伤亡（天气、车型、天气、长时间、高龄驾驶员）

这些文件提供了2005年至2014年国家标准中有关人身伤害道路事故情况的详细道路安全数据，内容事故文件: 主要数据集包含有关事故严重程度、天气、地点、日期、时间、周日、道路类型的信息。车辆文件: 包含有关车辆类型，车辆型号，发动机大小，驾驶员性别，驾驶员年龄，汽车年龄的信息...伤亡档案: 包含伤亡严重程度，年龄，性别，社会等级，伤亡类型，行人或汽车乘客的信息。查找文件: 包含三个文件中所有可变代码的文本描述。 o </o < o </o < > < o </o < > < o </o < > < o </o < > < o </o < > < o </o < > 开放政府许可 < o </o < > < o </o < > 数据集包含大量的行和特性。Data Wrangling: 将不同的 filesMap 列代码与它们的文本字符串合并到一个查找表中。你如何在地图上标出一个国家一个城市。数据说明: 天气如何影响事故的数量或严重程度。驾驶员年龄对事故数量有影响吗。小时、日、周、月与致命事故数量之间的关系是什么。某些车型是否比其他车型更安全? 伤亡人员的社会等级是否取决于事故的严重程度。预测: 你能预测未来每天/每周/每月的事故吗。你能预测致命的事故吗。你能预测一场事故是否是致命的预测，但有更多的行和更多的变量)随时建议这个数据集的其他外部数据。

These files provide detailed road safety data regarding road traffic accidents involving personal injuries, sourced from national standards spanning 2005 to 2014.

Accident Files: The core dataset contains information on accident severity, weather conditions, location, date, time, day of the week, and road type.

Vehicle Files: Contain details on vehicle type, vehicle model, engine displacement, driver gender, driver age, and vehicle age.

Casualty Files: Include information on casualty severity, age, gender, social class, casualty type, and whether the individual is a pedestrian or vehicle occupant.

Lookup Files: Contain textual descriptions of all variable codes across the three aforementioned files.

Open Government License

This dataset includes a large number of rows and features.

Data Wrangling: Merge the column codes from different filesMap and their corresponding text strings into a unified lookup table.

How to mark the location of a country or city on a map?

Data Analysis Questions:
- How does weather affect the number or severity of road accidents?
- Does driver age have an impact on the number of road accidents?
- What is the relationship between hour of the day, day of the week, month, and the number of fatal road accidents?
- Are certain vehicle models safer than others?
- Does the social class of casualties correlate with the severity of the accident?

Prediction Tasks:
- Can you predict the number of accidents on a daily, weekly, or monthly basis in the future?
- Can you predict fatal road accidents?
- Can you predict whether an accident will be fatal with more rows and variables available? Additional external datasets to complement this dataset are welcome for recommendations.

搜集汇总

背景与挑战

背景概述

该数据集包含2005年至2014年英国人身伤害道路事故的详细数据，涵盖事故严重程度、天气、地点、时间、车辆类型及驾驶员信息等多维度内容，适用于交通安全和事故预防研究。数据集还提供查找文件解释代码描述，支持多种分析方向如天气影响、驾驶员年龄效应等。