Data Analysis And Visualization

• US 20160055221A1
• Filed: 08/19/2015
• Published: 02/25/2016
• Est. Priority Date: 08/19/2014
• Status: Active Grant

• Current Assignee: Tagb.Io. Inc.
• Original Assignee: Tagb.Io. Inc.
• Inventors: Paquette, Jesse Thomas, Covington, Tom
• Granted Patent: US 10,642,868 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/287 Visualization; Browsing

Abstract

Design and implementation of complicated data analyses and creation of visualizations to present the results of such analyses can be performed using a data analysis application.

Claims

1. A method comprising:

providing access to a dataset via a data analysis application;

receiving, by the data analysis application, selection of one or more subsets of data from within the dataset;

allowing selection of variables and ranges for the variables based on visual displays of the effects on range choices, the allowing occurring via a user interface of the data analysis application; and

generating analysis content directly from within the application user interface without requiring input of underlying data analysis algorithms.

2. A method as in claim 1, wherein the receiving selection of the one or more subsets of data from within the dataset comprises receiving a definition of a background data set and a focus set.

3. A method as in claim 2, wherein the focus set comprises a subset of the background data set and the background data set comprises a set of entities selected from within at least one database upon which the data analysis application is configured to operate.

4. A method as in claim 2, wherein the selection of variables and ranges for the variables comprises defining a classifier protocol based on user input comprising selection of one or more predictive criteria.

5. A method as in claim 4, wherein the classifier protocol comprises a predictive model and a user-defined threshold, and wherein the method comprises providing a notification to a user of the data analysis application and/or another user of the classifier protocol based on a prediction generated by the predictive model constrained by the background data set, the focus set, and the one or more predictive criteria.

6. A method as in claim 1, further comprising providing an integrated social network via which a user of the data analysis application shares and/or offers a subscription to the generated analysis content.

7. A method as in claim 6, wherein the generated analysis content comprises a classifier protocol via which a subscribing user can receive predictions based on a predictive model, one or more predictive criteria, a background data set, and a focus set defined by a user of the data analysis application for the classifier protocol.

8. A computer program product comprising a machine-readable medium storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

providing access to a dataset via a data analysis application;

receiving, by the data analysis application, selection of one or more subsets of data from within the dataset;

allowing selection of variables and ranges for the variables based on visual displays of the effects on range choices, the allowing occurring via a user interface of the data analysis application; and

generating analysis content directly from within the application user interface without requiring input of underlying data analysis algorithms.

9. A computer program product as in claim 8, wherein the receiving selection of the one or more subsets of data from within the dataset comprises receiving a definition of a background data set and a focus set.

10. A computer program product as in claim 9, wherein the focus set comprises a subset of the background data set and the background data set comprises a set of entities selected from within at least one database upon which the data analysis application is configured to operate.

11. A computer program product as in claim 9, wherein the selection of variables and ranges for the variables comprises defining a classifier protocol based on user input comprising selection of one or more predictive criteria.

12. A computer program product as in claim 11, wherein the classifier protocol comprises a predictive model and a user-defined threshold, and wherein the method comprises providing a notification to a user of the data analysis application and/or another user of the classifier protocol based on a prediction generated by the predictive model constrained by the background data set, the focus set, and the one or more predictive criteria.

13. A computer program product as in claim 8, further comprising providing an integrated social network via which a user of the data analysis application shares and/or offers a subscription to the generated analysis content.

14. A computer program product as in claim 13, wherein the generated analysis content comprises a classifier protocol via which a subscribing user can receive predictions based on a predictive model, one or more predictive criteria, a background data set, and a focus set defined by a user of the data analysis application for the classifier protocol.

15. A system comprising:

computer hardware configured to perform operations comprising;

providing access to a dataset via a data analysis application;

receiving, by the data analysis application, selection of one or more subsets of data from within the dataset;

allowing selection of variables and ranges for the variables based on visual displays of the effects on range choices, the allowing occurring via a user interface of the data analysis application; and

generating analysis content directly from within the application user interface without requiring input of underlying data analysis algorithms.

16. A system as in claim 15, wherein the computer hardware comprises a programmable processor and a machine-readable medium storing instructions that, when executed by the programmable processor, cause the programmable processor to perform at least some of the operations.