submitting data for repro-med-disparities

[katcorr]

Thank you for your submission! Please leave this text as-is when you submit, and then check the checklist.

Usability:

• This dataset has not already been used in TidyTuesday.
• The dataset is less than 20MB when saved as a tidy CSV.
• I can imagine at least one data visualization related to this dataset.

Preparation:

• cleaning.R has code to download and clean the dataset, resulting in descriptively-named data.frames.
• I ran saving.R to create csvs and md data dictionaries for each of my data.frames.
• I filled in descriptions for each variable in each of the {dataset}.md files.
• I edited the intro.md file to introduce my dataset.
• I included at least one image for my dataset as a png file.
• I completed the information in meta.yaml, including descriptive alt text for each image.
• I provided information in meta.yaml about how to credit me, and deleted any parts of that block that I do not want you to use.

[jonthegeek]

Thank you for this submission! It looks really interesting! I just have a few comments. I recommend this process:

1. Read the comments here on GitHub, and "Commit" any of them that are simple edits via the web UI. If you have more changes to make via your local version, follow the next steps.
2. "Pull" the latest version of this data back to your machine. In RStudio, you can click the "Pull" button in the GitHub pane.
3. Make any additional changes.
4. "Push" the changes back to us (the "Push" button on the GitHub pane in RStudio).

Let me know if you have any questions!

[jonthegeek]

Looks good! There will be a couple more emails as I apply my last edit and then run the acceptance script, so don't be confused by those. Thanks for the submission!

[jonthegeek]

Marking the point that I've viewed.

[jonthegeek]

/assign repro-med-disparities 2025-02-25

[jonthegeek]

Have to make some tweaks to get the script to run.

[jonthegeek]

/assign repro-med-disparities 2025-02-25

[jonthegeek]

Thanks again!