1.
Dataviz: back to basics
A look at what makes a dataviz work

2.
Cédric Lombion

3.
- Open Data portal
- Semi-structured data (website)
- Private data (partnership)

4.
- PDF : Tabula
- Website : scraping/API
- Graphs : GraphClick

5.
- Will this data answer our initial
question?
- Is the data of sufficient quality?

6.
- Fuse (Vlookup, csvkit…)
- Formatting cleaning (OpenRefine)
- Content cleaning

7.
- Simple analysis (spreadsheet)
- advanced analysis (R, Python)

8.
- Physical visualisations
- Interactive visualisations
- Static visualisations
- Web applications

9.
datavisualization infographics

10.
datavisualization infographics
explanatory exploratory

11.
datavisualization infographics
explanatory
exploratory
informative persuasive artistic

12.
datavisualization infographics
explanatory
exploratory
informative persuasive
artistic

13.
+

14.
Let’s play!

15.
Variables/data dimensions

16.
= +3
= -2

17.
Cédric Lombion
cedric.lombion@okfn.org
schoolofdata.org
datavizcatalogue.com