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 extracted from the Twitter database. The "number of tweets" metric is calculated from messages extracted and filtered...
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