This work represents collaborative work across Grinnell College (Shonda Kuiper), Lawrence University (Adam Loy) and Carleton College (Laura Chihara) funded by grants from the ACM and the Teagle Foundation.
data-scraping: An introduction to using
rvest to scrape data from the web.
data-viz: An introduction to the
ggplot2 package. The tutorial introduces how use the
qplot function, how to build plots layer by layer using
ggplot and geometries, and how the
mplot function from the
mosaic package can be used to generate
data-wrangling: An introduction to data wrangling using the
dates-times: An introduction to working with dates and times using the
intro-maps: An introduction to making choloropleth maps using
ggplot2. (Depends on the ggplot2 tutorial.)
manipulating-text: An introduction to working with strings using the
stringr package and regular expressions.
maps-shapefiles: An introduction to working with shapefiles to create maps in
ggplot2. (Depends on the ggplot2 and maps-beginner tutorials.)
merging: An introduction to the different
join statments available in the
tidying-data: An introduction to tidying data in R using the
tidyr package. Examples using the
separate functions, both together and in concert, are provided.
CART: A brief overview of classification trees.
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