Responsible visualization

Types of Visualisation?

A visualisation is defined as a visual presentation of data (http://dictionary.reference.com/browse/visualisation). That covers a lot of things, from maps (visual representations of where things are, typically with shapes, labels, icons and colours all meaning something) to data-based drawings (e.g. XKCD data-based comics), graphs (line graphs, bar charts, pie charts etc), infographics and dashboards.

There are many types of visualisation, in as many forms as the human imagination can devise, but you’ll see some types a lot more than others. Some of these are:

• Line graphs
• Bar charts
• Column charts
• Maps
• Choropleths
• Sankey diagrams
• Network visualisations

What is the story you are trying to tell

• Clear, concise story-telling strategy.

Interaction

• How do people interact with your data.
• Is it overwhelming?

Annotation

• Labels
• Titles
• Tweets
• Description

Case Study: Human Rights Funding Research

1. How do you show the findings? 2. How would you should who is funding where?

Do you have to redact data?

• Aggregate data at different levels.

Disconnect about the text and the visual if done by two different individual.

• Annotations are important so make it part of the visual in a way that's not separable even while someone is remxing.

Choosing the right colors.

• Make sure it looks good on print
• Consider colorblindness
• The human eye can see more shades of grey

Make sure the data actually represents the comparison in the true form

• Aggregate and quantify using statistics.

Pie charts

1. Do not do 3D, pretty please! 2. Do not show more than 3 data points. 3. Good for quick prototypes.

Be true to the data.

• Stay away from assumptions
• Infographics are propositions

Reading List

• https://visualisingadvocacy.org/blog/disinformation-visualization-how-lie-datavis
• https://github.com/geohacker/maps-mayhem/blob/master/README.md