Data exploration system

Abstract

An improved data exploration system and method for analyzing and exploring complex data sets involving multiple data dimensions and multi-variable data presentations. The system can generate visual representations of complex data sets in a map format, in which symbols representing the complex data sets are plotted based on data underlying the various symbols. The positions of a first set of symbols can be plotted in the map format relative to a first axis based on the data underlying each symbol, and index numbers corresponding to a second set of symbols can be plotted in the map format along a second axis orthogonal to the first axis, thereby facilitating visual comparison and comprehension of selected characteristics of the data.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is a divisional application of co-pending U.S. patent application Ser. No. 11 / 059,432 filed Feb. 16, 2005 entitled DATA EXPLORATION SYSTEM.[0002]This application claims priority of U.S. Provisional Patent Application No. 60 / 545,150 filed Feb. 17, 2004 entitled DATA EXPLORATION SYSTEM.STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT[0003]Not applicableBACKGROUND OF THE INVENTION[0004]The present application relates generally to systems and methods of analyzing and exploring data, and more specifically to an improved system and method of analyzing, exploring, and comprehending information relationships in data.[0005]In recent years, computer systems have enabled individuals and organizations to capture and store vast quantities of data. The existence of such large quantities of data has lead to an ever increasing need for improved systems and methods of analyzing and exploring data. For example, spreadsheets ...

AI Technical Summary

Benefits of technology

Enhances the user's ability to analyze and comprehend complex data sets by providing adaptable visual representations, enabling detailed analysis and trend detection, and improving the understanding of information relationships within large data quantities.

Problems solved by technology

Traditional spreadsheets and spreadsheet computer programs have drawbacks, however, in that they are limited in the complexity of the data that can be manipulated.

For example, spreadsheet computer programs typically operate on data stored in flat files, and are generally unable to handle complex data sets involving multiple data dimensions and / or multi-variable data presentations.

The graphical data representations that can be generated by traditional spreadsheet computer programs also suffer significant limitations.

Geographic information systems also have drawbacks, however, in that they are typically unsuited for use as a general data analysis tool.

Even if representative location references were derived for a set of data before providing the data to a GIS for analysis, the mapping of the data by the GIS would likely be constrained by the fixed nature of the data locations, thereby limiting the number of possible visual data representations that can be presented to a user, and in turn, limiting the user's ability to comprehend new information from the data relationships.

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