4. View data
Once the data has been prepared, it's time to move on to the visualization phase.
We'll focus here on relational data, as it seems the most interesting to process from a dataviz point of view.
To visualize the data, two things are essential:
have metrics applicable to entities and relationships between entities ;
position them in relation to each other.
4.1 Metrics applicable to entities and relationships between entities
In a dataviz, each indicator carries meaning.
In the figure "Example of the dataset and data model for analyzing Twitter conversations", labels, follows and followers are...
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Bibliography
Also in our database
Bibliography
Lima M., Cartographie des réseaux. Eyrolles.
Tufte E., Beautiful evidence. Graphics Press.
Tufte E., Envisioning information. Graphics Press.
Rendgen S. and Wiedemann, Information Graphics. Taschen.
DataFLow1 and 2. Gestalten.
Yau...
Websites
Reference site on the most original and innovative datavisualizations, regularly including emerging and useful software tools for data extraction, processing and visualization.
Reference blog on datavisualization...
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