Responsible visualization
From Responsible Data Wiki
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!
Contents
- 1 Types of Visualisation
- 2 What is the story you are trying to tell
- 3 Interaction
- 4 Annotation
- 5 Case Study: Human Rights Funding Research
- 6 Do you have to redact data?
- 7 Disconnect about the text and the visual if done by two different individual.
- 8 Choosing the right colors.
- 9 Make sure the data actually represents the comparison in the true form
- 10 How do you communicate uncertainty in the visual?
- 11 Pie charts
- 12 Be true to the data.
- 13 Reading List
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
