1. Review: Visual Methods for Analyzing Time-Oriented Data Authors: Wolfgang Aigner, Silvia Miksch, Wolfgang Mu¨ ller, Heidrun Schumann, and Christian Tominski

2. Introduction This paper presents visualization techniques for various types of temporal data. Large amount of data – requires human analysis and decision making Aspects of visualizing temporal data – Visualization, analysis and user Time characteristics must be considered while visualizing temporal data Appropriate parameterization and interaction

3. Types of Times Linear Time vs Cyclic Time Time Points vs Time Intervals Ordered Time vs Branching Time vs Time with multiple perspectives

4. Linear Time vs Cyclic Time

5. Time Points vs Time Intervals Time Wheel

6. Time Points vs Time Intervals PlanningLines

7. OrderTime ThemeRiver

8. Branching Time and Time with multiple Perspectives Not many effective tools to visualize such data Mostly ordered data visualization or univariate visualization - planninglines

9. Analyzing Time Oriented Data Temporal Data Abstraction Principal Component Analysis Clustering

10. Temporal Data Abstraction VIE_VENTs schema Knowledge on data Context Sensitive Expectation guided Quant to Qualitative

11. Temporal Data Abstraction The Spread Visualization - Oscillating Data

12. Principal Component Based Analysis Dimensionality reduction technique Finding dimensions with maximum variance Transforming original dataset to different domain

13. PCA Themeriver

14. PCA Bar chart visualization of one component

15. Clustering Calendar metophar

16. Clustering

17. User centered analysis via Events