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Himalayas #784

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Himalayas #784

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nicolasfoss
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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.

@nicolasfoss
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I was thinking maybe the analysis would be more interesting if I provide the dataset that has all the climber information as well?

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