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Comments (8)

kbjarkefur avatar kbjarkefur commented on August 30, 2024

Important to talk about projection and two data types, but do have it the first thing. It just throw people off. Have them open a data set thirst so that the participants have something tangible on their computer, before talking about abstract things

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kbjarkefur avatar kbjarkefur commented on August 30, 2024

Go through a bit of terminology. I think some people were in this class to learn R, and I am not sure if all of them knew topics like:

  • spatial analysis - explain that it is analysis of mapped data
  • polygons

Since some parts so heavily depend on ggplot maybe it is worth doing a quick recap. Maybe just remind people that it is a graphing tool, and perhaps remind them of an option or two there

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kbjarkefur avatar kbjarkefur commented on August 30, 2024

add worldbank_projects.csv data to repository

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luizaandrade avatar luizaandrade commented on August 30, 2024

Add a first slide explaining where the data is and telling people to load/install packages and set file paths

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luizaandrade avatar luizaandrade commented on August 30, 2024

Possibility: Make this a session about data visualization on maps:

  • Move parts about raster to appendix
  • Move parts about processing shapefiles to appendix
  • Present it right after the ggplot session, since it has a lot of related content

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MRuzzante avatar MRuzzante commented on August 30, 2024

It would be nice to store every map which is plotted in an object (say map_1, map_2, etc.) consistently with what @luizaandrade did in Lab 3, so people can then print all of them and see what was done in the training

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MRuzzante avatar MRuzzante commented on August 30, 2024

Also, you could add some "bonus track" at the end (can be appendix) on embedding leaflet in a Shiny app

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luizaandrade avatar luizaandrade commented on August 30, 2024

I've moved the comments regarding a larger review of the session to #23.
I'm fixing what can be fixed immediately now and will then close this issue.

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