Table Lens Introduction to the Table Lens concept Table Lens Implementation Projected Usage...
-
date post
21-Dec-2015 -
Category
Documents
-
view
216 -
download
0
Transcript of Table Lens Introduction to the Table Lens concept Table Lens Implementation Projected Usage...
Table Lens
• Introduction to the Table Lens concept
• Table Lens Implementation
• Projected Usage Scenarios
• Usage Comparison with Splus
• Critical Analysis
Interfacing with Tables
• Tables as a common representation– Regularized content– Instance vs. Value Layout– Large raw tables are uninterpretable
Table Views
• Two common modes of interface– Focus: User examines as many fields as will fit
on her screen (660 cells)• Sacrifices relationships for detail
– Context: A generated representation of broad dataset it examined
• High-level interpretation with no specifics
Table Lens
• Lenses are devices which focus attention on part of a large context
• Table Lens allows both Focus and Context views simultaneously– Tables are regular
• Deformations are also regular
• Lensing creates categories of detail
Categories of detail
• Central areas of lens have highest levels of detail
• Row and Column focal have less detail
• Non-focal areas have sharply reduced detail but are still present
Degree of Interest
• Detail categorization and Visualization based on Degree of Interest calculation
• DOI Translates to cell size along 2 independent axes
• Binary correspondence in each dimension
Table Lens Benefits
• Table Lens can display both focus and context– Much more data can be displayed at once
• 30 – 100 times basic spreadsheet
• Allows simultaneous view of:– Variable value distribution shape
– Inter-variable correlation
– Specific instance values
– Outlier identification
Table Lens Implementation
• Interactive manipulation of focus – Atomic operations– Zoom: Enlargement of focal area– Ajust: Expansion of focal contents– Slide: Positioning of focal area
• Composite manipulation– Adjust-zoom: Adds items to focus while
expanding focal area
Multiple Foci
• Multiple focal areas are supported
• Important use modifications– Adjust corrupts display– Zoom required to be global
Graphical Cell Representation
• Presentation factors– Value
– Value Type
– DOI (Region) Type
– Cell Size
– User Choices
– Spotlighting
Other Features
• Ascending/Descending Sorting
• Spotlighting
• Formula compilation
• Median, Quarter, Extents Selection
Table Lens facilitates
• Correlation of variable value curves
• Outlier identification/interrogation
• Variable nesting identification
• Ease of use (Simple!)
Usage Comparison
• Exploratory Data Analysis (EDA)
• Sensemaking– “Activities in which external representations…
are interpreted into semantic content and represented in some other manner”
EDA Tasks
• Batch Assessment– Determining structure of information and its
irregularities
• Variable modeling– Finding formulaic expression for variable
values
Learning Loop
• Steps:– Search for representation of regularities– Encoding information into representation– Altering representation to accommodate
outliers– Use of representation for discovery
Table Lens vs Splus
• Estimating utility of application approach– Required time to perform tasks
• Benchmark times
• Empirical times
– Qualitative Considerations• Ease of use
• Complexity vs Return
Correlation : Table Lens
Correlation : Splus
Time-cost for important properties of all variables
• Table Lens superior for iterative analysis
• Splus faster for random access
Time-cost for related variables
• Table Lens superior when several clusters can be grouped and eliminated early
• Splus more effective when broad dataset must be analyzed
Learning costs
• Table Lens performs within significant margins as well as Splus
• Table Lens is much simpler than Splus