Difference between revisions of "Responsible visualization"

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(Created page with "We will spend the next week collecting and posting resources and notes here in this wiki. Subscribe to our [http://lists.theengineroom.org/lists/info/rdfupdates RDF updates em...")
 
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We will spend the next week collecting and posting resources and notes here in this wiki. Subscribe to our [http://lists.theengineroom.org/lists/info/rdfupdates RDF updates email list] to be updated when this wiki is ready!
 
We will spend the next week collecting and posting resources and notes here in this wiki. Subscribe to our [http://lists.theengineroom.org/lists/info/rdfupdates RDF updates email list] to be updated when this wiki is ready!
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== Types of Visualisation ==
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* LOTS.
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== What is the story you are trying to tell ==
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* Clear, concise story-telling strategy.
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== Interaction ==
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* How do people interact with your data.
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* Is it overwhelming?
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== Annotation ==
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* Labels
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* Titles
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* Tweets
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* Description
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== Case Study: Human Rights Funding Research ==
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1. How do you show the findings?
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2. How would you should who is funding where?
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== Do you have to redact data? ==
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* Aggregate data at different levels.
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== Disconnect about the text and the visual if done by two different individual. ==
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* Annotations are important so make it part of the visual in a way that's not separable even while someone is remxing.
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== Choosing the right colors. ==
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* Make sure it looks good on print
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* Consider colorblindness
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* The human eye can see more shades of grey
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== Make sure the data actually represents the comparison in the true form ==
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* Aggregate and quantify using statistics.
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== How do you communicate uncertainty in the visual? ==
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== Pie charts ==
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1. Do not do 3D, pretty please!
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2. Do not show more than 3 data points.
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3. Good for quick prototypes.
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== Be true to the data. ==
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* Stay away from assumptions
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* Infographics are propositions
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== Reading List ==
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* https://visualisingadvocacy.org/blog/disinformation-visualization-how-lie-datavis
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* https://github.com/geohacker/maps-mayhem/blob/master/README.md

Revision as of 16:06, 10 October 2014

We will spend the next week collecting and posting resources and notes here in this wiki. Subscribe to our RDF updates email list to be updated when this wiki is ready!

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

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