User interface for statistical data analysis

• US 20070168154A1
• Filed: 12/23/2005
• Published: 07/19/2007
• Est. Priority Date: 12/23/2005
• Status: Abandoned Application

• Current Assignee: 3M Innovative Properties Company (3M Company)
• Original Assignee: 3M Innovative Properties Company (3M Company)
• Inventors: Ericson, Richard E.
• Application Number:
  US11/317,375
• Publication Number:
  US 20070168154A1
• Time in Patent Office: Days
• US Class Current: 702/179
• CPC Class Codes: G06F 18/2135 based on approximation criteria, e.g. principal component analysis

Abstract

In general, the invention is directed to data exploration and visualization techniques. In one embodiment, the invention provides a method comprising accessing Multivariate Curve Resolution data having a plurality of components to identify a set of combinations of the components, wherein each of the combinations includes at least two of the components; and presenting a user interface having an input region associated with each of the combinations, wherein each of the input regions has a visual indicium generated as a function of a degree of correlation between components in the respective combination.

Claims

1. A computer-implemented method comprising:

receiving Multivariate Curve Resolution (MCR) data having a plurality of components to identify a set of combinations of the components, wherein each of the combinations includes at least two of the components; and

presenting a user interface having an input region associated with each of the combinations, wherein each of the input regions has a visual indicium generated as a function of a degree of correlation between components in the respective combination.

2. The method of claim 1, further comprising:

for each combination, calculating the degree of correlation between each of the respective components.

3. The method of claim 2, wherein calculating the degree of correlation between each of the respective components comprises invoking a statistical engine.

4. The method of claim 1, wherein presenting a user interface comprises:

displaying a matrix having a plurality of cells, wherein each cell comprises a different one of the input regions and represents a different one of the combinations of components.

5. The method of claim 4, wherein presenting a user interface comprises:

generating the input region associated with each of the cells to output the visual indicium based on the degree of correlation between the components of the combination.

6. The method of claim 1, wherein the visual indicium associated with each of the input regions is a color selected from a plurality of colors.

7. The method of claim 1, further comprising:

receiving input defining a selection of one of the input regions; and

displaying data related to the components of the combination associated with the selected input region.

8. The method of claim 7, further comprising:

receiving a request to combine the components of the MCR data; and

in response to the request, combining the components of the combination associated with the selected input region.

9. The method of claim 1, further comprising processing a multivariate data set to identify the plurality of components.

10. The method of claim 9, wherein processing a multivariate data set comprises performing statistical analysis on the multivariate data set to produce MCR data having the plurality of components.

11. The method of claim 9, wherein the statistical analysis comprises:

invoking a statistical engine to apply one or more statistical functions to the multivariate data set to produce the MCR data.

12. The method of claim 11, wherein the statistical function or functions include at least applying Multivariate Curve Resolution to produce the plurality of components.

13. A system comprising:

a module executing on a computer system to access Multivariate Curve Resolution (MCR) data having a plurality of components and correlation data for combinations of said components; and

,

a module executing on the computer to present a user interface having an input region associated with each of the combinations, wherein each of the input regions has a visual indicium generated as a function of a degree of correlation for the respective combination.

14. The system of claim 13, further comprising:

a module executing on the computer to identify one or more combinations of the components and caculate the degree of correlation between the combinations of components.

17. The system of claim 13, wherein the imput region may be selected by clicking on its visual indicium.

18. The system of claim 13, wherein each visual indicium comprises shades of a color.

19. The system of claim 13, wherein each visual indicium comprises one of a plurality of colors.

20. The system of claim 18 or 19, further comprising;

a module executing on the computer system to present a matrix containing a plurality of visual indicia of input regions.

21. The system of claim 13, further comprising:

a module executing on the computer to display data on the combination of components once a combination has been selected.

22. The system of claim 21, further comprising:

a component combination module executing on the computer to combine the components that make up the selected combination.

15. (canceled)

16. (canceled)

23. A computer-readable medium comprising computer-readable instruction for causing a programmable processor to:

access Multivariate Curve Resolution (MCR) data having a plurality of components;

identify at least one set of combinations of the plurality of components, wherein each of the combinations includes at least two of the components;

caculate the degree of correlation between each of the components in each combination; and

present a user interface having an input region associated with each of the combinations, wherein each of the input regions has a visual indicium generated as a function of a degree of correlation for the respective combination.

24. The computer-readable medium of claim 23, wherein calculating the degree of correlation between each of the respective components comprises invoking a statistical engine.

25. The computer-readable medium of claim 23, wherein presenting a user interface comprises:

for each of the combinations, selecting the visual indicium from a plurality of visual indicia based on the degree of correlation between the components of the combination.

26. The computer-readable medium of claim 23, wherein presenting a user interface comprises:

displaying a matrix having a plurality of cells, wherein each cell comprises a different one of the input regions and represents a different one of the combinations of components.

27. The computer-readable medium of claim 26, wherein presenting a user interface comprises:

generating the input region associated with each of the cell to output the visual indicium based on the degree of correlation between the components of the combination.

28. The computer-readable medium of claim 23, wherein the visual indicium associated with each of the input regions is a color or shade of color selected from a plurality of colors or shades of colors.

29. The computer-readable medium of claim 23, further comprising:

receiving selection input defining a selection of one of the input regions; and

displaying data related to the combination of components associated with the selection input.

30. The computer-readable medium of claim 29, further comprising:

receiving a request to combine the components of the MCR data; and

in response to the request, combining the components of the combination associated with the selected input region.

31. The computer-readable medium of claim 23, further comprising processing a multivariate data set to identify the plurality of components.

32. The computer-readable medium of claim 31, wherein processing a multivariate data set comprises performing statistical analysis on the multivariate data set to produce MCR data having the plurality of components.

33. The computer-readable medium of claim 31, wherein processing the multivariate data comprises:

invoking a statistical engine to apply one or more statistical functions to the multivariate data set to produce the MCR data.

34. The computer-readable medium of claim 33, wherein the statistical function or functions include at least applying Multivariate Curve Resolution to produce the plurality of components.

35. A system comprising:

a data storage module containing Multivariate Curve Resolution (MCR) data having a plurality of components and correlation data for combination of components;

a module executing on a computer to access the MCR data;

a module executing on the computer to present a user interface having an input region associated with each of the combinations, wherein each of the input regions has a visual indicium generated as a function of a degree of correlation for the resective combination; and

a module executing on the computer to identify one or more combinations of the components and caculate the degree of correlation between the combinations of components.

36. A system comprising:

a numerical analysis module executing on a computer to apply one or more statistical functions to a multivariate data set to produce Multivariate Curve Resolution (MCR) data having a plurality of components and correlation data for combinations of said components;

a module executing on a computer to access the MCR data; and

,

a module executing on the computer to present a user interface having an input region associated with each of the combinations, wherein each of the input regions has a visual indicium generated as a function of a degree of correlation for the respective combination.