Histomaps

Jennifer Lyons shows us a few places where we can use histomaps to good effect:

Histomaps can be a good option when we are looking to visualize qualitative trends over time. The trick is that you need to be using two mutually exclusive variables. In Spark’s case he used time and power. In the example below, I am using time and staff’s satisfaction with their work environment. Imagine you are collecting open-ended survey data every quarter during your grant term. You code a person’s response into the mutually exclusive category of met, partially met, and not met regarding their expressed satisfaction.

Read the whole thing.

Related Posts

Visualizing In R: 3 Packages

Kristian Larsen has a quick demo of three R visualization packages, ggplot2, dygraphs, and plotly: Another value generating visualisation package in R is dygraphs. This package focuses on creating interactive visualisations with elegant interactive coding modules. Furthermore, the package specialises in creating visualisations for machine learning methods. The below coding generates different visualisation graphs with dygraphs: Three […]

Read More

Modifying A ggplot2 Theme

Sebastian Sauer gives us an example of modifying a standard ggplot2 theme: ggplot2 is customizeable. Frankly, one can change a heap of details – not everything probably, but a lot. Of course, one can add a theme to the ggplot call, in order to change the theme. However, a more catch-it-all approach would be to change […]

Read More

Categories

September 2018
MTWTFSS
« Aug Oct »
 12
3456789
10111213141516
17181920212223
24252627282930