UrbanGB, urban road accidents coordinates labelled by the urban center
Donated on 11/21/2019
Coordinates (longitude and latitude) of 360177 road accidents occurred in urban areas in Great Britain, and labelled according to the urban center where they occurred (469 possible labels).
Dataset Characteristics
Univariate
Subject Area
Computer Science
Associated Tasks
Clustering
Feature Type
Real
# Instances
360177
# Features
2
Dataset Information
Additional Information
Please see the included README.md file for details on the contents, format and purpose of the dataset, and the procedure used to create it.
Has Missing Values?
No
Variable Information
The input data contains geographical coordinates in the ranges [-5.55599, 1.75834] (longitude) and [50.0797, 57.6956] (latitude). It is advisable to scale the longitude down by a factor of 1.7 for the purpose of geographical clustering. The labels are provided in a separate file (one label per entry, ranging from 1 to 469). The centroids (barycenters of each partition) are also provided, in a separate file. See the included README.md file for further details.
Dataset Files
| File | Size |
|---|---|
| urbanGB.txt | 5.9 MB |
| urbanGB.labels.txt | 1.1 MB |
| urbanGB.png | 335.8 KB |
| urbanGB.centr.txt | 7.8 KB |
| README.md | 5.4 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset urbangb_urban_road_accidents_coordinates_labelled_by_the_urban_center = fetch_ucirepo(id=550) # data (as pandas dataframes) X = urbangb_urban_road_accidents_coordinates_labelled_by_the_urban_center.data.features y = urbangb_urban_road_accidents_coordinates_labelled_by_the_urban_center.data.targets # metadata print(urbangb_urban_road_accidents_coordinates_labelled_by_the_urban_center.metadata) # variable information print(urbangb_urban_road_accidents_coordinates_labelled_by_the_urban_center.variables)
UrbanGB, urban road accidents coordinates labelled by the urban center [Dataset]. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C5CD0F.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.