User interface for statistical data analysis
OwnerRichard E. Ericsoninventor
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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.
Claims36
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.
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.
(canceled)
(canceled)
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.
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.
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.
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.
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.
Dependencies are inferred from the claim text.