Road Accidents in UK

EDA of Road Accidents in UK 2010-14

• Introduction

Accidents data can be used for numerous applications such as real-time accident prediction, studying accident hotspot locations, casualty analysis and extracting cause and effect rules to predict accidents, and studying the impact of vehicle age, road conditions, speed limits, environmental stimuli and road conditions on accident occurrence. This dataset contains the data of road accidents happened in U.K. within the time frame of 2010-2014. The data is very extensive, so it can give many insights on accidents. It contains location information, vehicle information, weather information, driver information, time of accidents etc.

• Research questions

  1. What are the factors those are more correlated to severity of accidents?
  2. Is vehicle power something to do with accidents?
  3. Is a particular day of time, when accidents happens more?
  4. Is number of accidents vary by road types?
  5. Is accidents increase in winter season ?

• Approach

If required the data will be normalized and cleaned. If null values are present in data, I need to take care of them by either removing those reocrds or using mean value from that column. After cleaning the data, I will analyze data to try answering research questions. While analyzing I will try to use graphs to support/better understand the data.

• Data

Source Link:

https://www.kaggle.com/stefanoleone992/adm-project-road-accidents-in-uk

Columns in the dataset:

1. Accident_Index: Accident index
2. Latitude: Accident latitude
3. Longitude: Accident longitude
4. Region: Accident region
5. Urban_or_Rural_Area: Accident area (rural or urban)
6. X1st_Road_Class: Accident road class
7. Driver_IMD_Decile: Road IMD Decile
8. Speed_limit: Road speed
9. Road_Type: Road type
10. Road_Surface_Conditions: Road surface condition
11. Weather: Weather
12. High_Wind: High wind
13. Lights: Road lights
14. Datetime: Accident datetime
15. Year: Accident year
16. Season: Accident season
17. Month_of_Year: Accident month
18. Day_of_Month: Accident day of month
19. Day_of_Week: Accident day of week
20. Hour_of_Day: Accident hour of day
21. Number_of_Vehicles: Accident number of vehicles
22. Age_of_Driver: Driver age
23. Age_of_Vehicle: Vehicle age
24. Junction_Detail: Accident junction detail
25. Junction_Location: Accident junction location
26. X1st_Point_of_Impact: Vehicle first point of impact
27. Driver_Journey_Purpose: Driver journey purpose
28. Engine_CC: Vehicle engine power (in CC
29. Propulsion_Code: Vehicle propulsion code
30. Vehicle_Make: Vehicle make
31. Vehicle_Category: Vehicle category
32. Vehicle_Manoeuvre: Vehicle manoeuvre
33. Accident_Severity: Accident severity

This data is from 2010 through 2014. The dataset is very extensive with location information, vehicle information, weather information, driver information, time of accidents.

## References: https://www.kaggle.com/stefanoleone992/adm-project-road-accidents-in-uk