This document discusses data visualization and provides guidance on creating effective visualizations. It is divided into three parts that cover introducing the topic of data visualization, designing visualizations, and getting started with creating visualizations in R and D3.js. The document emphasizes designing visualizations that fit on one screen, use a top-down approach, and make the data interactive. Contact information is provided to connect about data visualization services.

2. Make your data beautiful

3. www.mrowcakasia.eu
kasia@mrowca.co.uk

4. Let’s set the expectations!

5. intro
Part 1

6. Data are everywhere!

7. Data are everywhere!
Does your data hunt you?

10. Cool data in YOUR systems!
Discover

13. … lets connect the dots!

14. What can go wrong?
Meaningful or meaningless?

15. Clean the data!

16. Correlation doesn’t
imply causation!

17. You can imagine lines between
stars in constellation, but it doesn’t mean
that the lines exist.

18. What can go wrong?
UX/UI?

25. Power of visualization
Part II

26. Target audience

28. … but where is THE pie chart?!

34. Fit to one screen
If you can…

35. Top down

39. Key metrics
Context
Details

40. Design the ‘flow’

41. Make it interactive

45. Make it happen
Part III

46. Quick start with R
• Download R
https://cran.r-project.org
• Install R Studio
https://www.rstudio.com

47. install.packages("ggplot2")

48. R + D3
• Option 1: process and visualize in R,
and then bind SVG with JS
• Option 2: process the data in R,
visualize in D3

49. R + D3
• Option 1: process and visualize in R,
and then bind SVG with JS
• Option 2: process the data in R,
visualize in D3

50. install.packages(”shiny")

51. Play with data J

52. Design rules wrap up
• Fit to one screen
• Top down (drill down/roll up)
• Make it interactive

53. www.mrowcakasia.eu
kasia@mrowca.co.uk