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Mechanism for Multi-variant Visual Data Comparison

IP.com Disclosure Number: IPCOM000235925D
Publication Date: 2014-Mar-31
Document File: 5 page(s) / 1M

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a mechanism that allows users to quickly compare selected categorical data against other specified categories. The mechanism allows users to make a selection and specify against what to compare the selection, as well as which variables to include as part of the comparison.

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Mechanism for Multi-variant Visual Data Comparison

During any analysis of data, users inevitably need to compare the performance of one set of data against another set of data in order to understand the characteristics of why one set has performed better or worse than another has . This comparison can be performed visually or algorithmically. This disclosure discusses how a user can perform a multi-dimensional visual comparison of one set versus another set.

When visually comparing sets of data, users need to be able to quickly and fluidly,

without disrupting their train of thought, review comparisons, distributions, correlations, trends, and general performance across multiple dimensions. Current individual visualizations allow a user to make this comparison; however, the definition and selection of data can be limiting or can take the user out of the explorative process, disrupting concentration and the thought process.

A mechanism is needed to allow users to quickly compare selected categorical data against other specified categories. The disclosed solution allows the user to effortlessly change the type of comparison from a comparison to a distribution , trend, or other.

The novel contribution is a mechanism that allows users to make a selection and specify against what to compare the selection, as well as which variables to include as part of the comparison. Users can pin the comparison view to the main user interface (UI), which continually updates to compare the selected data against the specified comparison data. Comparisons can be made against pre-defined sub-sets or other categorical data.

Alternative approaches require a user to author a specific alternate visualization in order to perform the comparison. The drawback to this approach is that it forces the user to know what type of visualization to use in which situations, and how to author the visualization.

The new mechanism allows users define data of interest through selection . The user can use the e...