accidents: Road Safety Data - Accidents 2018

In rstudio-education/dsbox: Data Science Course in a Box

Road Safety Data - Accidents 2018

Description

Road accidents and their causes are of particular importance to road safety experts looking to prevent them.

Usage

accidents

Format

A tibble with 768 rows and 31 variables:

id

Accident ID

easting

Easting of accident location

northing

Northing of accident location

longitude

Longitude of accident location

latitude

Latitude of accident location

police_force

Police force

severity

Accident severity: Fatal, Serious, Slight

vehicles

Number of vehicles involved in accident

casualties

Number of people injured in the accident

date

Date of the accident

day_of_week

Day of the week of the accident

time

Time of the accident on the 24h clock

district

Local authority district

highway

Local authority highway

first_road_class

Class of 1st road involved in accident: Motorway, A(M) road (A-road with motorway restrictions), A-road, B-road, C-road, Unclassified

first_road_number

ID of 1st road (0 if unclassified)

road_type

Type of road: Roundabout, One way street, Dual carriageway, Single carriageway, Slip road

speed_limit

Speed limit on the road in mph

junction_detail

Detail on junction where accident occurred: Crossroads, Mini-roundabout, More than 4 arms, Not within 20 meters of junction, Other junction, Private drive or entrance, Roundabout, Slip road, T or staggered junction

junction_control

How junction was controlled: authorized person, Auto traffic signal, Give way or uncontrolled, Missing / Out of range, Stop sign

second_road_class

Class of 2st road involved in accident: A-road, B-road, C-road, Missing / Out of range, Motorway, Unclassified

second_road_number

ID of 2nd road (0 if unclassified)

ped_cross_human

Level of human control at a pedestrian crossing: Control by other authorized person, Control by school crossing patrol, None within 50 meters

ped_cross_physical

Level of facilities controlling a pedestrian crossing: Central refuge, No physical crossing facilities within 50 meters, Non-junction crossing (pelican, puffin, toucan or similar light crossing), Pedestrian phase at traffic signal junction, Zebra crossing

light

Light condition at the time of accident: Daylight, Darkness - lights lit, Darkness - lights unlit, Darkness - no lighting, Darkness - lighting unknown

weather

Weather condition at the time of accident: Fine + no high winds, Raining + no high winds, Snowing + no high winds, Fine + high winds, Raining + high winds, Snowing + high winds, Fog or mist, Other, Unknown

road_surface

Road surface conditions at the time of the accident: Dry, Wet or damp, Snow, Frost or ice, Flood over 3cm deep

special_condition

Special condition at the site of the accident: None, Road sign or marking defective or obscured, Roadworks, Road surface defective

hazard

Carriageway hazards: None, Other object on road, Previous accident, Pedestrian in carriageway - not injured

urban_rural

Type of area the accident occurred in: 1 - urban, 2 - rural

police

Did police officer attend the scene of the accident: No, No + accident self reported (using a self completion form), Yes

Details

The data come from the UK Government at roadtraffic.dft.gov.uk. It's been modified to better serve the goals of introductory data science education.

Source

https://roadtraffic.dft.gov.uk/custom-downloads/road-accidents

Examples

library(ggplot2)

ggplot(accidents, aes(x = speed_limit)) +
  geom_bar()

rstudio-education/dsbox documentation built on Oct. 22, 2023, 12:20 a.m.