kirti trivedi presentation
TRANSCRIPT
Self-Generated Data Patterns
Recurring events leave their mark to create visible data patterns
Footprints on a jogging track
Fingers on a keyboard
Riverwater flow on stones
Such patterns are
Self-Evident
What is Self-Evident ?
That, which does not need to be
verbally explained by language or
labels, and can be directly grasped
visually by everyone.
Capable of universal understanding.
Smile, hair, broken teeth, glasses
Mountain profile, cloud pattern, radiating glow
Vigorous river water flow, battered stones
Whole data pattern visible at a glance.
Great density of detail as contributed
by various parameters which create the
event.
Visual Information Diagrams: Typical Process
Data Collection
Analysis and Processing of data to reveal the
desired Data Pattern
Creating Visual Representation of Data Pattern by
assigning meanings to visual forms and labeling them
Final Data Diagram
Though the aim is to make visual diagrams,
the interpretation and understanding usually
is dependent on verbal labeling of the data
pattern.
Data DistancingThe distance created by the extent of labeling
which must be read before data can be understood.
Generic quantitative variables need data labeling
Understanding totally dependent on verbal information
Many visual diagrams
exist just as
visual fillers on a page
or illustrations
without any significant
information function
Some seem to exist because the intended audience is not capable of mentally visualizing the magnitude difference between 525 and 13
Piling Up the Electoral Votes
REAGAN: 525 MONDALE: 13Republican Democrat
Isolating data bits and presenting them as
single parameter patterns destroys the
Context of the Data, as well as the Density of Detail.
Both the Context and the Detail can be very useful in
understanding the data. Eliminating them may lead
to data loss and partial understanding.
Data pattern created with dots
Replacing dots with foot-marks
Adding colour to suggest jogging track
Actual track image not only shows data, but also whole context, detail, and relationships.
The Whole Pattern, as well as magnifiable detail showing further patterns at smaller levels
Data as it is.Watering as a parameter, contributing to grass density on the track
A Virgin Computer Keyboard.
Unused and without use data pattern.
Typing as creator of use data pattern
Frequency, stroke strength and location, touching pattern for left and right hand fingers: recorded automatically by use.
Co-existence of many different data types
including lack of proper housekeeping
Use frequency map of Keys
Strength and location of finger stroke on individual keys
Possibility of composite mapping through multi-sampling
Data about fingering pattern on a particular key from a sample of users
Use data pattern on an old elevator control panelin an Office Building
Door Close button used much more than Door Open button
Maximum visitors for First Floor
Least visitors to 30th floor
Dynamic data patterns on a beach
Wave force, slope, sand particles distribution
Wavelet sub-events
multi-level, multi-variable data patterns
constantly changing
endlessly generating themselves
recording unfolding eventsin real time, as high resolution 3-D renderings
variety and beautywith great clarity
naturally and effortlessly
Individually and Collectively.
Visually, Completely, and Honestly.
Showing their story to whoever will see.