Comments (8)
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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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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add worldbank_projects.csv data to repository
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Add a first slide explaining where the data is and telling people to load/install packages and set file paths
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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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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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Also, you could add some "bonus track" at the end (can be appendix) on embedding leaflet
in a Shiny app
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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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Related Issues (20)
- May 2022 - R Markdown HOT 4
- Resources
- Rewrite repo to use qmd
- Add final code from sessions to GitHub HOT 1
- Bypass WB firewall in installation of packages from CRAN
- documentation: add mention of R and Rstudio setup in main README
- Mar 2023 - Descriptive analysis HOT 3
- March 2023 - Geospatial HOT 3
- March 2023 - R Markdown HOT 2
- March 2023 - Data vis
- March 2023 - Recommendations from participants
- Evaluate the option of `WebR` instead of using `learnr` HOT 1
- Evaluate the option of using `use_course` HOT 3
- Explore teaching how to use `quarto` rather than `markdown`
- R Markdown - Feedback based on CE session 03-Feb-2022
- May 2022 - Introduction to R HOT 6
- May 2022 - Intro to R Programming HOT 6
- May 2022 - Data Visualization HOT 1
- May 2022 - Descriptive Analysis HOT 1
- May 2022 - Descriptive statistics HOT 5
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