A weekly social data project in R

A fortnightly data project aimed at the LGBTQ+ community who use the R language ecosystem. This is borne out of the lack of LGBTQ+ representation in the widely used datasets in data science. This project is a version of the R4DS Online Learning Community repository, where use of the tidyverse libraries is encouraged and where code is shared. The goal is to use your data visualisation and analysis skills and share your insights with the world.

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Join the fortnightly #TidyRainbow event! Every two weeks we post a raw data set, along with a related chart or article and ask that you explore the data. This could be a visualisation or an analysis or whatever else you're inspired to do with it. The data will not always be tidy but it should be manageable!

You can share your output and code on Twitter using the hashtag #TidyRainbow.

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The datasets in this repository focus on data that is not binary in gender and where sexuality is beyond the assumption of heterosexuality, where LGBTQ+ people/persons are explicitly included.

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We welcome all newcomers, enthusiasts and experts

Things to remember:

1. The data come from the source or where the article sites/credits, so data will not be 100% clean 100% of the time

2. This data is meant for understanding the intersectionality of the global LGBTQ+ community, where injustices, civil rights, healthcare, politics, etc and to learn from it

3. This repository is not about any criticism or bigotry

4. Use the hashtag #TidyRainbow when you finish your data science work, if you choose to share it

5. Include a picture image of your data visualization (be colorful!), along with alt text (see below)

6. Include a link to your code, so others can learn from you

7. Focus on learning something from the data

Submitting Datasets

If you found a dataset that is LGBTQ+ inclusive:

Contribute

1. Make an issue
2. Submit the dataset as an issue
3. Submit a report/article/post relevant to data with your issue

Alt Text

Please add alternative text to your graphics for #TidyRainbow.

TL;DR on what to write

• Chart type, line plot, bar plot, etc
• Type of data, what is on x-axis? what is on y-axis?
• Why , why you made the plot graphic
• Link , link to the data or source