Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Upcoming SlideShare
×

# Mdst3559 2011-04-26-viz1

314 views

Published on

Published in: Education, Technology
• Full Name
Comment goes here.

Are you sure you want to Yes No
Your message goes here
• Be the first to comment

• Be the first to like this

### Mdst3559 2011-04-26-viz1

1. 1. Visualizing 1<br />MDST 3559: DataestheticsProf. Alvarado03/26/2011<br />
2. 2. Business<br />Journaling?<br />Access to the database?<br />Last two weeks of class<br />
3. 3. Review<br />The data model<br />
4. 4.
5. 5. Views<br />shah_episide_and_captions_VIEW<br />zim_topic_in_para_VIEW<br />
6. 6. Overview<br />Review principles of visualization covered so far in the course<br />Review principles of hand-made visualizations<br />
7. 7. What is visualization?<br />
8. 8. All visualization involves transformation<br />Raw Data  Data Models  Queries  Arrays  Visual Arrangements<br />
9. 9. The “final” transformation<br />The visual product encodes a series of transformations from raw data to visual design<br />A key element of this design is the use of space<br />Space is complex—it involves the concepts of dimension, location, distance, and shape<br />Each visualization uses these elements differently <br />
10. 10. What is transformation?<br />Review Examples<br />
11. 11. Patterns of Transformation (i)<br />Image Grids (aka Image Graphs)<br />Purpose: Creates 2D qualitative space<br />Space is uniform, Cartesian<br />“Points” are actually not atomic, but contain content<br />Designed to show “hot spots” <br />Method:<br />Identify X and Y in which to plot objects of type A<br />Create query to generate A, X and Y columns<br />Convert query data into 3D array \$DATA[\$X][\$Y] = \$A<br />Convert array into HTML<br />
12. 12. http://studio1.shanti.virginia.edu/~rca2t/dataesthetics/03-29/v4.php<br />
13. 13. Patterns of Transformation (ii)<br />Network Graphs<br />Purpose: Creates a network of relationships<br />Space not uniform—distance and location of nodes require interpretation<br />Method:<br />Identify nodes and principle of relationship (e.g. container)<br />Create query to generate nodes and principle<br />Convert query into NODE and EDGE arrays<br />Convert arrays data into Cartesian Product for each principle<br />Convert array into PNG, SVG, etc.<br />
14. 14. http://studio1.shanti.virginia.edu/~rca2t/dataesthetics/04-26/graph-main.php<br />
15. 15. Patterns of Transformation (iii)<br />Adjacency Matrix <br />Purpose: Creates a 2D space<br />But X and Y are “self similar”<br />Method:<br />Identify X and Y<br />Create query to generate X and Y columns<br />Convert query data into 2D array<br />Convert array into HTML<br />
16. 16. http://studio1.shanti.virginia.edu/~rca2t/dataesthetics/04-21/ex-04-pviz-matrix.php<br />
17. 17. Patterns of Transformation (iv)<br />Arcs and Circles<br />Purpose: Creates a 2D dimensions, with 1 dimension metric, the other not<br />Only an X axis with connections in qualitative space<br />Method:<br />Same as network graphs<br />Visualize using Protovis library<br />
18. 18. http://studio1.shanti.virginia.edu/~rca2t/dataesthetics/04-21/ex-04-pviz-arc.php<br />
19. 19.
20. 20. Patterns of Transformation (v)<br />Hand-made<br />Purpose: Creates a free-form qualitative space<br />Method:<br />Draw!<br />
21. 21.
22. 22.
23. 23.
24. 24. What happens to space?<br />