Bison Population Data
by: Jacob Kinsman (over 2 years ago)



Project #1158

267 Views
Description



This is the first of two fictitious data sets used for a user study entitled "Understanding Related Data Through Regression Analysis."

This user study was conducted as part of a research project by Jacob Kinsman under the advisement of Dr. Fred G. Martin.  The project extended the regression controls featured within the iSENSE Timeline and Scatter visualizations with Symbolic Regression.  Symbolic Regression attempts to automatically determine the mathematical function that describes the relationship between variables in data without a priori knowledge.

The user study was conducted to determine if Symbolic Regression is an effective tool for discovering the relationship between variables in complex data sets.  This data set was constructed such that these relationships were pronounced.  During the user study, participants were asked to analyze this data set, and use the iSENSE visualization suite to extract quantitative data regarding specific variables, and the mathematical relationship between them.

The paper describing the Symbolic Regression research and iSENSE user study can be viewed at: https://github.com/JKinsman/Honors-Project-Materials/blob/master/symbolic-regression-via-pareto-genetic-programming-honors-thesis-jkinsman.pdf

Data Sets
00af31cd41258ce41e53dd24cc134f6d
Fields
Name Units Type
Date of Birth
None
Timestamp
Height
None
Number
Weight
None
Number
Tail Length
None
Number
Number of Legs
None
Number
Horn Length
None
Number
Snout Width
None
Number
Snout Height
None
Number
Tail Width
None
Number
Horn Width
None
Number
Dietary Preference
None
Text
Fur Color
None
Text
Disposition
None
Text
Eye Color
None
Text
Habitat
None
Text
Breed
None
Text
Name
None
Text
Legs
None
Text
Latitude
None
Latitude
Longitude
None
Longitude
Formula Fields
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Media

Bison Population Data

Project #1158 on iSENSEProject.org


Description



This is the first of two fictitious data sets used for a user study entitled "Understanding Related Data Through Regression Analysis."

This user study was conducted as part of a research project by Jacob Kinsman under the advisement of Dr. Fred G. Martin.  The project extended the regression controls featured within the iSENSE Timeline and Scatter visualizations with Symbolic Regression.  Symbolic Regression attempts to automatically determine the mathematical function that describes the relationship between variables in data without a priori knowledge.

The user study was conducted to determine if Symbolic Regression is an effective tool for discovering the relationship between variables in complex data sets.  This data set was constructed such that these relationships were pronounced.  During the user study, participants were asked to analyze this data set, and use the iSENSE visualization suite to extract quantitative data regarding specific variables, and the mathematical relationship between them.

The paper describing the Symbolic Regression research and iSENSE user study can be viewed at: https://github.com/JKinsman/Honors-Project-Materials/blob/master/symbolic-regression-via-pareto-genetic-programming-honors-thesis-jkinsman.pdf


Fields
Name Units Type of Data
Date of Birth
None
Timestamp
Height
None
Number
Weight
None
Number
Tail Length
None
Number
Number of Legs
None
Number
Horn Length
None
Number
Snout Width
None
Number
Snout Height
None
Number
Tail Width
None
Number
Horn Width
None
Number
Dietary Preference
None
Text
Fur Color
None
Text
Disposition
None
Text
Eye Color
None
Text
Habitat
None
Text
Breed
None
Text
Name
None
Text
Legs
None
Text
Latitude
None
Latitude
Longitude
None
Longitude

Our Data
Name(s): ______________________________________
Date: _________________________________________

Date of Birth Height Weight Tail Length Number of Legs Horn Length Snout Width Snout Height Tail Width Horn Width Dietary Preference Fur Color Disposition Eye Color Habitat Breed Name Legs Latitude Longitude