Responsible visualization
From Responsible Data Wiki
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
