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Add new section to lesson 4 #149

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albhasan
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Closes #118

This PR:

  • adds a new section about removing columns and rows from data frames.
  • adds an example and a reference to the functions typeof and na.omit.

These changes addresses the issues raised by @sstevens2, regarding objectives missed by lesson 4.

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github-actions bot commented Nov 19, 2023 •
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Thank you!

Thank you for your pull request 😃

🤖 This automated message can help you check the rendered files in your submission for clarity. If you have any questions, please feel free to open an issue in {sandpaper}.

If you have files that automatically render output (e.g. R Markdown), then you should check for the following:

  • 🎯 correct output
  • 🖼️ correct figures
  • ❓ new warnings
  • ‼️ new errors

Rendered Changes

🔍 Inspect the changes: https://github.com/datacarpentry/r-intro-geospatial/compare/md-outputs..md-outputs-PR-149

The following changes were observed in the rendered markdown documents:

 04-data-structures-part2.md | 115 ++++++++++++++++++++++++++++++++++++++++++--
 md5sum.txt                  |   2 +-
 2 files changed, 112 insertions(+), 5 deletions(-)
What does this mean?

If you have source files that require output and figures to be generated (e.g. R Markdown), then it is important to make sure the generated figures and output are reproducible.

This output provides a way for you to inspect the output in a diff-friendly manner so that it's easy to see the changes that occur due to new software versions or randomisation.

⏱️ Updated at 2024-01-11 14:04:50 +0000

github-actions bot pushed a commit that referenced this pull request Nov 19, 2023
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differences for PR #149
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github-actions bot pushed a commit that referenced this pull request Jan 11, 2024
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differences for PR #149
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@albhasan
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Can I close this PR, @mikemahoney218?

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Sorry, I've been particularly busy recently and haven't had a chance to look this over -- I'll try to check it out this week (unless @likeajumprope gets to it first of course!)

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Successfully merging this pull request may close these issues.

Keypoints and objectives don't match for Exploring Data Frames episode
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@albhasan @mikemahoney218