1. Thank you for coming here!

2. Purpose of Experiment Compare two visualization systems. You will play with one of them.

3. What will you do? Learn a multidimensional visualization system; Use it to find features of a data set and record your result; A quick after-experiment feedback.

4. Schedule First, I will present... Multidimensional data Parallel Coordinates Brushing Feature finding Introduce the visualization system

5. Schedule Then, You will do... Experiment: -Find features of a given data set using the visualization system -Record the features you find Fill feedback form.

6. Outline Multidimensional Data How to represent multidimensional data Parallel Coordinates Brushing Operation Feature Finding

7. Multidimensional Data Example: Iris Data Scientists measured the sepal length, sepal width, petal length, petal width of many kinds of iris...

8. Multidimensional Data Example: Iris Data

9. Outline Multidimensional Data How to represent multidimensional data Parallel Coordinates Brushing Operation Feature Finding

10. Parallel Coordinates One-Dimensional Data 1 2 (1.6)

11. Parallel Coordinates 4-Dimensional Iris Data Set

12. 5.1 3.5 1.4 0.2

14. Outline Multidimensional Data How to represent multidimensional data Parallel Coordinates Brushing Operation Feature Finding

15. Brushing Brushing - Highlighting part of the data items to distinguish them from the other data items.

17. Feature Finding Feature - Anything you find from the data set. Cluster - A group of data items that are similar in all dimensions. Outlier - A data item that is similar to FEW or No other data items.

20. Other features You can record anything else you find with the help of the visualization system.