Kirti Trivedi Presentation

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 Distancing The 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: 13

Republican

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

Watering as a parameter, contributing to grass density on the track

Data as it is.

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 panel in an Office Building

Least visitors to 30th floor

Maximum visitors for First Floor Door Close button used much more than Door Open button

Dynamic data patterns on a beach

Wave force, slope, sand particles distribution

Wavelet sub-events

constantly changing multi-level, multi-variable data patterns

endlessly generating themselves

recording unfolding events in real time, as high resolution 3-D renderings

with great clarity variety and beauty naturally and effortlessly

Showing their story to whoever will see. Individually and Collectively. Visually, Completely, and Honestly.