26. Overview first,
zoom and filter,
then details-on-demand
From: The Eyes Have It:A Task by Data Type Taxonomy for Information Visualizations
27.
28.
29. • X and Y (at a push, Z)
• Node size and colour
• (Node label size and colour)
• Edge thickness and colour
• (Edge label and colour)
• Node proximity/grouping
• Clustering
• Filtering and differential
application of the above
30.
31.
32. Group by Hierarchy inside
(implied) containment
Let pi,j be the rate at which word i occurs in document j, and pj be the average across documents( sum Pij/ndocs)The size of each word is mapped to its maximum deviation ( maxi(pi,j- pj ) ), and its angular position is determined by the document where that maximum occurs.