1. APRV – A Multidimensional Data Visualization Tool By Ashwini, Prasuna, Ravi & Vijay

2. Problem • Data - single valued multi-variate function y = f (x1, x2, x3, …) • Mapping multiple dimensions on a 2D plane without loss of dimensionality • Generic visualization tool that is not constrained by the number of dimensions

3. Solution • Detail View with respect to a Focal Point represented as a horizontal Focal Line (Fisheye Approach) • All neighboring points shown as vertical rays emitting from this Focal Line • Rays ordered by prioritizing dimensions

4. Rays [ray 0 1] x2 (0,4) [ ray 1 1] (0,3) (3,3) (0,2) (2,2) (0,1) (1,1) [ ray -1 0] x1 [ ray 1 0] (-3,0) (-2,0) (-1,0) (0,0) (1,0) (2,0) (3,0) (-1,-1) (0,-1) (0,-2) (-2,-2) (0,-3) (-3,-3) (0,-4) [ ray -1 -1] [ ray 0 -1]

5. Focal Point [ray 0 1] x2 (5,9) [ ray 1 1] (5,8) (8,8) (5,7) (7,7) (5,6) (6,6) [ ray -1 0] x1 [ ray 1 0] (2,5) (3,5) (4,5) (5,5) (6,5) (7,5) (8,5) (4,4) (5,4) (5,3) (3,3) (5,2) (2,2) (5,1) [ ray -1 -1] [ ray 0 -1]

6. Focal Line 1 0 1 1 1 -1 0 1 (7,5) (7,7) (7,3) (5,5) (x1, x2) x1 has greater priority over x2 (6,5) (6,6) (6,4) (5,5) (5,5) (4,5) (4,4) (4,4) (5,5) (3,5) (3,3) (3,3) (5,5) -1 0 -1 1 -1 -1 0 -1

7. Demo Show me the Demo !! Show me the Demo !!

8. Evaluation • Scalability - for 7D, 3^7 = 2187 rays - 1,000,000 data points for the median Focal point • More data around the Focal point shown • Effective utilization of screen space • High learning curve • Loss of data points proportional to no. of dimensions and sampling rate

9. Future Work • Moving mouse over data points shows values • Multiple windows for sort on multiple dimensions • Multiple windows for multiple focal points • Better color scheme

10. Questions?Thank You