Datavis workshop jun17

Dataviz 101 and Tableau/R workshop for WWCode Singapore

1. Data Visualization 101 WWCode Hannah Yan Han

2. Never trust summary stats alone, always visualize Same stats, different data From Datasaurus by Alberto Cairo

3. Data types Quantitative -- numbers -1.5, 3.14 Ordinal -- categories with intrinsic ordering Awesome, average, bad Categorical Singapore, France, Argentina Networks - nodes and edges Social connections Spatial Maps, physical topologies Time series 2016, 2026, 2036, 2046

4. Color palette sequential (quantitative) diverging (ordinal) qualitative (categorical)

5. Geometric primitives

6. Visual encodings Magnitude channels Category channels Adapted from Tamara Munzner. Visualization Analysis and Design

7. Effectiveness

8. Finding the right chart From Joel Laumans An Introduction to Visualizing Data The data we have + The question we pose Correlation Comparison Special

9. Designing with Data From FT Visual Vocabulary

10. Exploring + Iterating Example from Nathan Yau One Dataset, Visualized 25 Ways

11. Bring Data to Life Stories make data memorable persuasive engaging “ Numbers have an important story to tell. They rely on you to give them a clear and convincing voice ” Quotes from data visualization expert Stephen Few

12. Storytelling with humanized data From Periscopic

13. Storytelling with personalized data \ From Guardian