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Suggestion: Extrapolating on "Sorting data" section #355

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bwright23ou opened this issue Dec 9, 2024 · 4 comments · Fixed by #356
Closed

Suggestion: Extrapolating on "Sorting data" section #355

bwright23ou opened this issue Dec 9, 2024 · 4 comments · Fixed by #356

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@bwright23ou
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How could the content be improved?

When going through this lesson in Learner mode, I was initially confused on how to navigate to the 'Sort' command on the top of the grid. I was able to figure it out with the helpful note on the bottom of the image, but I wonder if adding an image of the interface for the first 'Sort' command might be useful. Additionally, building on the content for the Data Cleaning for Ecologists workshop, I wonder if it might be useful to extrapolate on how sorting can be useful in OR. Thanks!

Which part of the content does your suggestion apply to?

https://librarycarpentry.github.io/lc-open-refine/06-working-with-columns.html

@jas58
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jas58 commented Mar 19, 2025

@bwright23ou Thank you for your suggestion. May I clarify your request before creating a change?
Are you asking to combine the Faceting and Filtering (4) part of the lesson with the Working with Columns (6)?
DataCarpentries does not have a separate Working with Columns section.
@ostephens would this be a Curriculum question?

@bwright23ou
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Hi Jennifer,

Thank you for reaching out! I am suggesting adding more explanatory content to the Working with Columns episode that clarifies a) the reasons why one might want to sort their data and b) explains the different kinds of sorts one can do (numeric, text, date, etc.). I like the explanation done on the DataCarpentries OpenRefine lesson, in particular, and included it as a reference (here's a link to the specific portion of the DataCarpentries explanation of Sorting).

@jas58
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jas58 commented Mar 20, 2025 via email

@bwright23ou
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Absolutely, I just submitted a pull request. Totally open to any feedback that could make this clearer, thank you so much for your time!

@jas58 jas58 closed this as completed Mar 25, 2025
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2 participants