R training - 2018 Dec 13

[luizaandrade]

No description provided.

[kbjarkefur]

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

[kbjarkefur]

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

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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

[kbjarkefur]

add worldbank_projects.csv data to repository

[luizaandrade]

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

[luizaandrade]

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

[MRuzzante]

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

[MRuzzante]

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

[luizaandrade]

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.