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README.qmd
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---
format: gfm
360readme:
title: Unpaid domestic and care work
summary: Visualises the burden of unpaid domestic work and caring for family.
repo: report-women-unpaid-work
share-url: https://unpaidwork.360visuals.org/
data-sources: |
<ul>
<li><a href="https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home">Survey on Gender Equality at Home (Meta)</a></li>
<li><a href="https://melbourneinstitute.unimelb.edu.au/hilda">Household, Income and Labour Dynamics in Australia survey (UMelb/DSS)</a></li>
<li><a href="https://www.pib.gov.in/PressReleasePage.aspx?PRID=1660028">Press Information Bureau, Government of India</a></li>
</ul>
---
# {{< meta 360readme.title >}}
### [📋 Graphic 1](https://unpaidwork.360visuals.org/timeuse-meta/?edshare) • [📋 Graphic 2](https://unpaidwork.360visuals.org/timeuse-hilda/?edshare) •[📋 Graphic 3](https://unpaidwork.360visuals.org/assets/gender-ratios.png) • [📊 Get the data](data) • [💻 Reproduce the analysis](#-reproduce-the-analysis)
{{< meta 360readme.summary >}}
## ♻️ Use + Remix rights
![[Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0)](https://mirrors.creativecommons.org/presskit/buttons/80x15/png/by.png)
These charts, as well as the analyses that underpin them, are available under a Creative Commons Attribution 4.0 licence. This includes commercial reuse and derivates.
<!-- Do any of the data sources fall under a different licence? If so, describe the licence and which parts of the data fall under it here! if most of it does, change the above and replace LICENCE.md too -->
Data in these charts comes from:
{{< meta 360readme.data-sources >}}
**Please attribute 360info and the data sources when you use and remix these visualisations.**
## 💻 Reproduce the analysis
### Quickstart: use the dev container
This project comes with a ready-to-use [dev container](https://code.visualstudio.com/docs/remote/containers) that includes everything you need to reproduce the analysis (or do a similar one of your own!), including [R](https://r-project.org) and [Quarto](https://quarto.org).
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/360-info/{{< meta 360readme.repo >}}?quickstart=1)
If you have Docker installed, you can build and run the container locally:
- Download or clone the project
- Open it in [Visual Studio Code](https://code.visualstudio.com)
- Run the **Remote-Containers: Reopen in Container** command
Once the container has launched (it might take a few minutes to set up the first time), you can run the analysis scripts with:
```sh
quarto render
```
Or look for the `.qmd` files to modify the analysis.
### Manual setup
To setup a development environment manually,
You'll need to:
- [Download and install Quarto](https://quarto.org/docs/get-started)
- [Download the install R](https://www.r-project.org)
- Satisfy the R package dependencies. In R:
* Install the [`renv`](https://rstudio.github.io/renv) package with `install.packages("renv")`,
* Then run `renv::restore()` to install the R package dependencies.
* (For problems satisfying R package dependencies, refer to [Quarto's documentation on virtual environments](https://quarto.org/docs/projects/virtual-environments.html).)
Now, render the `.qmd` files to the `/out` directory with:
```sh
quarto render
```
## ❓ Help
If you find any problems with our analysis or charts, please feel free to [create an issue](https://github.com/360-info/{{< meta 360readme.repo >}}/issues/new)!