https://github.com/openwashdata/unhcrwash
A dataset of WASH indicators in refugee camps
https://github.com/openwashdata/unhcrwash
Last synced: 4 months ago
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A dataset of WASH indicators in refugee camps
- Host: GitHub
- URL: https://github.com/openwashdata/unhcrwash
- Owner: openwashdata
- License: cc-by-4.0
- Created: 2024-11-13T16:50:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-21T10:37:04.000Z (over 1 year ago)
- Last Synced: 2025-09-04T23:46:54.987Z (9 months ago)
- Language: R
- Homepage: https://openwashdata.github.io/unhcrwash/
- Size: 3.11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE.md
- Citation: CITATION.cff
Awesome Lists containing this project
README
---
output: github_document
always_allow_html: true
editor_options:
markdown:
wrap: 72
chunk_output_type: console
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%",
message = FALSE,
warning = FALSE,
fig.retina = 2,
fig.align = 'center'
)
```
# unhcrwash
[](https://creativecommons.org/licenses/by/4.0/)
[](https://zenodo.org/doi/10.5281/zenodo.14185117)
The goal of unhcrwash is to make available data on WASH indicators in refugee camps and settlements.
## Installation
You can install the development version of unhcrwash from
[GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("openwashdata/unhcrwash")
```
```{r}
## Run the following code in console if you don't have the packages
## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra"))
library(dplyr)
library(knitr)
library(readr)
library(stringr)
library(gt)
library(kableExtra)
```
Alternatively, you can download the individual datasets as a CSV or XLSX
file from the table below.
```{r, echo=FALSE, message=FALSE, warning=FALSE}
extdata_path <- "https://github.com/openwashdata/unhcrwash/raw/main/inst/extdata/"
read_csv("data-raw/dictionary.csv") |>
distinct(file_name) |>
dplyr::mutate(file_name = str_remove(file_name, ".rda")) |>
dplyr::rename(dataset = file_name) |>
mutate(
CSV = paste0("[Download CSV](", extdata_path, dataset, ".csv)"),
XLSX = paste0("[Download XLSX](", extdata_path, dataset, ".xlsx)")
) |>
knitr::kable()
```
## Data
The package provides access to WASH indicators in refugee camps and settlements
```{r}
library(unhcrwash)
```
### unhcrwash
The dataset `unhcrwash` contains data about WASH indicators in refugee camps and settlements.
It has `r nrow(unhcrwash)` observations and `r ncol(unhcrwash)` variables
```{r}
unhcrwash |>
head(3) |>
gt::gt() |>
gt::as_raw_html()
```
For an overview of the variable names, see the following table.
```{r echo=FALSE, message=FALSE, warning=FALSE}
readr::read_csv("data-raw/dictionary.csv") |>
dplyr::filter(file_name == "unhcrwash.rda") |>
dplyr::select(variable_name:description) |>
knitr::kable() |>
kableExtra::kable_styling("striped") |>
kableExtra::scroll_box(height = "200px")
```
## Example
```{r}
library(unhcrwash)
# Average Water Availability by Country
unhcrwash |> dplyr::group_by(country) |>
dplyr::summarise(avg_water_avail = mean(liters_per_person_per_day, na.rm = TRUE)) |>
dplyr::arrange(desc(avg_water_avail)) |>
head(5) |>
gt::gt() |>
gt::as_raw_html()
```
```{r}
library(ggplot2)
# Toilet availability
unhcrwash |>
dplyr::mutate(year = lubridate::year(as.Date(start_date))) |> # Extract year as whole number
dplyr::filter(!is.na(year) & !is.na(persons_per_toilet)) |> # Remove missing values
dplyr::group_by(year) |>
dplyr::summarise(avg_persons_per_toilet = mean(persons_per_toilet, na.rm = TRUE)) |>
ggplot2::ggplot(aes(x = year, y = avg_persons_per_toilet)) +
ggplot2::geom_line() +
ggplot2::labs(title = "Average Persons per Toilet in Refugee Camps",
x = "Year",
y = "Average persons per toilet") +
ggplot2::theme_minimal()
```
```{r}
# Countries with highest refugee populations
unhcrwash |>
dplyr::group_by(country) |>
dplyr::summarise(total_population = sum(refugee_pop, na.rm = TRUE)) |>
dplyr::arrange(desc(total_population)) |>
head(5) |>
gt::gt() |>
gt::as_raw_html()
```
## License
Data are available as
[CC-BY](https://github.com/openwashdata/unhcrwash/blob/main/LICENSE.md).
## Citation
Please cite this package using:
```{r}
citation("unhcrwash")
```