Difference between revisions of "Responsible visualization"

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== Types of Visualisation ==
 
== Types of Visualisation ==

Revision as of 19:32, 14 October 2014

Types of Visualisation

  • LOTS.

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.

How do you communicate uncertainty in the visual?

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