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https://github.com/hong-kong-districts-info/hkdatasets

Datasets relating to Hong Kong
https://github.com/hong-kong-districts-info/hkdatasets

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Datasets relating to Hong Kong

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# hkdatasets
:package: An R data package containing datasets related to Hong Kong

[![R build status](https://github.com/Hong-Kong-Districts-Info/hkdatasets/workflows/R-CMD-check/badge.svg)](https://github.com/Hong-Kong-Districts-Info/hkdatasets/actions) [![CodeFactor](https://www.codefactor.io/repository/github/hong-kong-districts-info/hkdatasets/badge)](https://www.codefactor.io/repository/github/hong-kong-districts-info/hkdatasets)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT/)
[![CRAN status](https://www.r-pkg.org/badges/version/hkdatasets)](https://CRAN.R-project.org/package=hkdatasets/)
[![CRAN last month downloads](https://cranlogs.r-pkg.org/badges/last-month/hkdatasets?color=green/)](https://cran.r-project.org/package=hkdatasets/)

### :page_with_curl: Introduction

This package contains datasets on Hong Kong. This package is developed as part of the [Hong Kong Districts Info](https://hong-kong-districts-info.github.io/) group of projects, which is dedicated to using data science to help make public information more accessible and consumable. The package contains the following datasets:

- `hkdc` - A dataset containing information about Hong Kong District Councillors (elected 2019), with variables such as their constituency, region, share of vote, total votes, link to their Facebook pages, etc. (Sources: https://www.districtcouncils.gov.hk; https://dce2019.hk01.com/)
- `hkstreetnames20` - A dataset containing names of all the streets in Hong Kong as at 2020.
- `hkdistrict_summary` - A summary table detailing Hong Kong's districts, their region classifications, and abbreviated labels.
- `hk_accidents`* - A dataset containing traffic accidents between 2014 and 2019.
- `hk_casualties`* - A dataset containing information of collisions by casualties between 2014 and 2019.
- `hk_vehicles`* - A dataset containing information of vehicles by casualties between 2014 and 2019.

![](https://raw.githubusercontent.com/Hong-Kong-Districts-Info/hkdatasets/master/inst/collision-data-diagram-3.png)

The datasets `hk_accidents`, `hk_collisions`, and `hk_vehicles` are related and can be joined together using the variable `Serial_No_`. This dataset was made available via a Freedom of Information request to the [Hong Kong Transport Department](https://www.td.gov.hk/). We would also like to thank the authors behind the [{HK80}](https://CRAN.R-project.org/package=HK80) package to enable us to convert the **HK1980GRID** coordinate system to longitudes and latitudes in the `hk_accidents` dataset.

*Note that version `1.0.0` introduced major breaking changes, which moved `hk_accidents`, `hk_casualties`, and `hk_vehicles` to being only available via `download_data()` and will not be available directly as a namespace due to CRAN size limitations. See [NEWS.md](https://hong-kong-districts-info.github.io/hkdatasets/news/index.html) for more information.

[Visit our GitHub](https://github.com/Hong-Kong-Districts-Info/hkdatasets)

### :wrench: Installation

{hkdatasets} is now available on [CRAN](https://cran.r-project.org/package=hkdatasets). You can install this with:

```R
install.packages("hkdatasets")
```

You can also install the latest development version from GitHub with:
```R
install.packages("devtools")
devtools::install_github("Hong-Kong-Districts-Info/hkdatasets")
```

### :chart_with_upwards_trend: Datasets

If you are exploring the package, we recommend starting with 2019 District Councillors dataset:

```R
library(hkdatasets)
head(hkdc)
```
To find out more about the variable and the source of the dataset, you can run:
```R
?hkdc
```
Note: this dataset contains Chinese characters in the UTF-8 encoding.

### :mailbox_with_mail: Contact
Please feel free to submit suggestions and report bugs: https://github.com/Hong-Kong-Districts-Info/hkdatasets/issues

Also check out our [website](https://hong-kong-districts-info.github.io/) for our other work and projects!

You can find out about our current backlog of work on our public Trello [Doing board](https://trello.com/b/n5l7DMS5/doing).