Exploring and Visualising Data

This section of the course deals with importing and displaying data.

To download this course:

library(swirl)
install_course_github("saq", "fes720_Explore")

Note the different course name to the section on Basic.

1. Importing Data

Lecture: Importing Data | Lesson | Lab

Data-prep walk through

2. Plotting Data

Plotting Data: lesson | Lab

3. Plotting More Data

Lesson: Plotting More Data | Lab

4. Graphics Devices in R

Lesson: Graphics devices in R | No Lab

5. Plotting Colours

Lecture: Using Colours | Lesson | Lab

install.packages("RColorBrewer")

Further reading

Examples

A Compendium of Clean Graphs in R

Best practice

Edward Tufte The Visual Display of Quantitative Information, Envisioning Information, Beautiful Evidence

Bill Cleveland The Elements of Graphing Data, Visualizing Data

Stephen Few The Perceptual Edge blog and library

Andrew Gelman’s blog posts on statistical graphics

Colour

http://www.visualisingdata.com/2015/01/make-grey-best-friend/

http://flowingdata.com/2017/10/24/4-tools-to-pick-your-chart-colors/

https://lisacharlotterost.github.io/2016/04/22/Colors-for-DataVis/

http://stat545.com/block018_colors.html

http://research.stowers.org/mcm/efg/R/Color/Chart/

http://colorbrewer2.org/

Reference pages

a simple plot
modifying the plot
changing colours, sizes and shapes

Advanced Graphics

changing graphical parameters
adding extras to graphics

Bestiary of Graphics

basic plots: scatter, bar, histogram
the worst graphic: pie charts
line plots, dot plots, …

Visual Display of Quantitative Information

good graphics
bad graphics
theory of data graphics

Updated: 2017-10-25