These training materials are made available for attendees of the Interactive Data Visualisation with R (and just R) workshop for ODSC 2017.
Details about the workshop are available here: https://odsc.com/training/portfolio/interactive-visualisation-r-just-r
You must follow all of these steps BEFORE arriving to the workshop:
- An installation of R https://cran.r-project.org/
- An installation of RStudio https://www.rstudio.com/products/rstudio/download/
Before arriving at the workshop, please run the following code in RStudio:
install.packages("tidyverse")
install.packages("gapminder")
install.packages("shiny")
install.packages("rmarkdown")
install.packages("leaflet")
install.packages("highcharter")
install.packages("plotly")
install.packages("visNetwork")
install.packages("igraph")
install.packages("RColorBrewer")
The following package also needs to be installed, if you have ANY problems when installaing the package please refer to the instructions https://github.com/r-spatial/sf:
install.packages("sf")
Provided the above package installs correctly please also run the following code:
install.packages("statesRcontiguous")
As close as possible to the course please download the materials in this repository (https://github.com/martinjhnhadley/2017-odsc-interactive-viz-with-R). Here's a short URL https://goo.gl/TXTrz3.
Click on "Clone or download" and select "Download as ZIP". Ensure to unzip the folders to a convenient location.
The instructor for this course is Martin John Hadley. Martin delivers training courses and workshops on R for data science for a variety of online learning platforms, he's also available for independent consultancy work (if you're interested).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.