WHAT IS DATAANALYSIS?
VISUAL ANALYTICS
WHAT IS THIS?
HOW MANY 8s?    10    8   10   9   10    7   8     6          6   8    8    8    6   8     5    13    7   13   8   13   12...
HOW MANY 8s?    10   8    10   9   10   7    8    6         6    8    8   8    6    8    5    13   7    13   8   13   12  ...
PRE-ATTENTIVEATTRIBUTESOF VISUAL PERCEPTION⠿ Form ⠕ Length ⠕ Width ⠕ Orientation ⠕ Size ⠕ Shape ⠕ Curvature ⠕ Enclosure ⠕ ...
PRE-ATTENTIVEATTRIBUTESOF VISUAL PERCEPTION⠿ Color  ⠕ Hue  ⠕ Intensity⠿Spatial Position  ⠕ 2D Position⠿Motion  ⠕ Direction
VISUAL ANALYSIS MIGHT SAVE YOUR JOB!                                  I                  II                 III           ...
ANSCOMBE’S QUARTET   ANSCOMBE’S QUARTET
CYCLE OF VISUAL  ANALYSIS  Incremental  Expressive  Unified DirectCopyright 2003, Tableau Software, INC.
INCREMENTALPROVIDE THE OPPORTUNITY TO CHANGE THE DATAPRESENTED FOR ANALYSIS AND CHANGE THE LEVEL OFDETAIL
EXPRESSIVETHERE IS NO SINGLE CORRECT VIEW FOR ALL TASKS ANDALL DATA
UNIFIEDSTAY IN THE FLOW OF THE CYCLE OF VISUALANALYSIS.NEW QUESTIONS, NEW DATA, NEW VIEWS, BUT STAY IN THEFLOW OF THE WORK
DIRECT
GENERATE EFFECTIVEVIEWS OF DATA⠿Communicate all of the data⠿Communicate only the data⠿Leverage the human perceptual system...
THANK YOU
Powerhouse Factories, Data Analysis
Powerhouse Factories, Data Analysis
Upcoming SlideShare
Loading in...5
×

Powerhouse Factories, Data Analysis

182

Published on

What is Data Analysis? Used for college curriculum

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
182
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Provide the opportunity to change the data presented for analysis and change the level of detail
  • There is no single correct view for all tasks and all data.
  • Powerhouse Factories, Data Analysis

    1. 1. WHAT IS DATAANALYSIS?
    2. 2. VISUAL ANALYTICS
    3. 3. WHAT IS THIS?
    4. 4. HOW MANY 8s? 10 8 10 9 10 7 8 6 6 8 8 8 6 8 5 13 7 13 8 13 12 8 7 9 8 9 8 9 7 8 8 11 8 11 9 11 7 8 8 14 9 14 8 14 8 8 7 6 7 6 6 6 6 8 5 4 4 4 3 4 5 19 12 12 10 12 9 12 8 8 5 7 4 7 7 7 6 8 7 5 5 5 4 5 5 8 6
    5. 5. HOW MANY 8s? 10 8 10 9 10 7 8 6 6 8 8 8 6 8 5 13 7 13 8 13 12 8 7 9 8 9 8 9 7 8 8 11 8 11 9 11 7 8 8 14 9 14 8 14 8 8 7 6 7 6 6 6 6 8 5 4 4 4 3 4 5 19 12 12 10 12 9 12 8 8 5 7 4 7 7 7 6 8 7 5 5 5 4 5 5 8 6
    6. 6. PRE-ATTENTIVEATTRIBUTESOF VISUAL PERCEPTION⠿ Form ⠕ Length ⠕ Width ⠕ Orientation ⠕ Size ⠕ Shape ⠕ Curvature ⠕ Enclosure ⠕ Spatial Grouping ⠕ Blur
    7. 7. PRE-ATTENTIVEATTRIBUTESOF VISUAL PERCEPTION⠿ Color ⠕ Hue ⠕ Intensity⠿Spatial Position ⠕ 2D Position⠿Motion ⠕ Direction
    8. 8. VISUAL ANALYSIS MIGHT SAVE YOUR JOB! I II III IV x y x y x y x y 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25 4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50 12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91 5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89the mean of the x values is 9.0,mean of y values is 7.5,they all have nearly identical variances, correlations, and regression
    9. 9. ANSCOMBE’S QUARTET ANSCOMBE’S QUARTET
    10. 10. CYCLE OF VISUAL ANALYSIS Incremental Expressive Unified DirectCopyright 2003, Tableau Software, INC.
    11. 11. INCREMENTALPROVIDE THE OPPORTUNITY TO CHANGE THE DATAPRESENTED FOR ANALYSIS AND CHANGE THE LEVEL OFDETAIL
    12. 12. EXPRESSIVETHERE IS NO SINGLE CORRECT VIEW FOR ALL TASKS ANDALL DATA
    13. 13. UNIFIEDSTAY IN THE FLOW OF THE CYCLE OF VISUALANALYSIS.NEW QUESTIONS, NEW DATA, NEW VIEWS, BUT STAY IN THEFLOW OF THE WORK
    14. 14. DIRECT
    15. 15. GENERATE EFFECTIVEVIEWS OF DATA⠿Communicate all of the data⠿Communicate only the data⠿Leverage the human perceptual system⠿Be understandable⠿Be interpretable
    16. 16. THANK YOU
    1. A particular slide catching your eye?

      Clipping is a handy way to collect important slides you want to go back to later.

    ×