This is an R package of datasets, functions, and course materials to go along with the book Data Visualization: A Practical Introduction (Princeton University Press, 2019).
The socviz package contains about twenty five datasets and a number of
utility and convenience functions. Most of them are used in Data
Visualization: A Practical Introduction
(http://socviz.co), and there are also a few others as well for
self-learners and students to practice their skills on.
A course packet is also included. This is a zipped file containing an R Studio project consisting of a nine R Markdown documents that parallel the chapters in the book. They contain the code for almost all the figures in the book (and a few more besides). Some support files are also included, to help demonstrate things like reading in your own data locally in R.
To install the package, you can follow the instructions in the Preface
to the book. Alternatively, first download and install R for
MacOS,
Windows or
Linux, as appropriate. Then
download and install RStudio. Launch
RStudio and then type the following code at the Console prompt (>),
hitting return at the end of each line:
my_packages <- c("tidyverse", "fs", "devtools")
install.packages(my_packages)
install.packages("socviz")To install the development version of socviz, instead of
install.packages("socviz") do the following:
devtools::install_github("kjhealy/socviz")Once everything has downloaded and been installed (which may take a
little while), load the socviz package:
library(socviz)The supporting materials are contained in a compressed .zip file. To
extract them to your Desktop, make sure the socviz package is loaded
as described above. Then do something like this:
setup_course_notes(folder = "~/Desktop")You can choose the destination folder, but you must supply one. Here,
the dataviz_course_notes.zip file will be copied to your Desktop, and
uncompressed there into a folder called dataviz_course_notes. Open the
folder, and double-click the file named dataviz.Rproj to launch the
project as a new RStudio session. If you want to uncompress the file
somewhere other than your Desktop, e.g. your Documents folder, you can
do this:
setup_course_notes(folder = "~/Documents")The included datasets and functions are documented at http://kjhealy.github.io/socviz/reference/.