SOCIALLY GENERATED AND SHARED GRAPHICAL REPRESENTATIONS

• US 20160078652A1
• Filed: 09/12/2014
• Published: 03/17/2016
• Est. Priority Date: 09/12/2014
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated (Kyndryl Holdings, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Abuelsaad, Kelly, Jang, Soobaek, Krook, Daniel C., Trim, Craig M.
• Granted Patent: US 9,928,623 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

According to embodiments of the present invention, one or more computer processors display unstructured data. One or more computer processors display a first chart that graphically represents at least a portion of the unstructured data. In response to the first chart failing to satisfy a user-defined criteria, one or more computer processors modifies the first chart to generate a second chart that graphically represents at least a portion of the unstructured data in a user-defined manner. In certain embodiments, the unstructured data includes information that does not have a pre-defined data model and/or is not organized in a pre-defined manner.

Claims

1. A method of preparing to present one or more data visualization(s) to a user, the method comprising:

receiving, by one or more processors, a first plurality of data visualization data sets, including a first data visualization data set, where each data visualization data set is machine readable data for generating a display of a data visualization, and each data visualization, respectively corresponding to a data visualization data set of the first plurality of data visualization data sets, represents at least a portion of data in a first unstructured data set;

receiving, by the one or more processors, a first plurality of user evaluations that evaluate the data visualizations corresponding to the first plurality of data visualization data sets; and

generating, by the one or more processors, a first ranking based, at least in part on the first plurality of user evaluations.

2. The method of claim 1 further comprising:

receiving, by one or more processors, a second data visualization data set, with the second data visualization data set corresponding to a data visualization of at least a portion of data in the first unstructured data set;

wherein the data visualization corresponding to the second visualization data set has been prepared with awareness of the first plurality of data visualization data sets and the first ranking.

3. The method of claim 2 wherein the data visualization corresponding to the second data visualization data set is an improved version of the data visualization corresponding to the first visualization data set.

4. The method of claim 2 wherein:

the first plurality of data visualization data sets are crowdsourced; and

the second data visualization data set is crowdsourced.

5. The method of claim 2 further comprising:

adding, by one or more processors, the second data visualization data set to the first plurality of data visualization data sets to create a second plurality of data visualization data sets;

receiving, by the one or more processors, a second plurality of user evaluations that evaluate the data visualizations corresponding to the second plurality of data visualization data sets; and

generating, by the one or more processors, a second ranking based, at least in part on the second plurality of user evaluations.

7. The method of claim 1 further comprising:

storing the first plurality of data visualization data sets in a cloud-implemented data repository.

8. The method of claim 7 wherein:

the cloud-implemented data repository is structured and/or programmed to be publically accessible; and

the first plurality of user evaluations are generated by members of the general public.

6. The method 1 of further comprising:

generating a user interface that allow a user to choose to have displayed a sub-set of data visualizations corresponding to the first plurality of data visualization data sets, with the sub-set including less than all of the data visualizations corresponding to the first plurality of data visualizations, and with the sub-set being chosen in a way that is based, at least in part, on the first ranking.

9. A computer program product comprising:

one or more computer readable tangible storage media and program instructions stored on the one or more computer readable tangible storage media, the program instructions executable by one or more processors to;

receive a first plurality of data visualization data sets, including a first data visualization data set, where each data visualization data set is machine readable data for generating a display of a data visualization, and each data visualization, respectively corresponding to a data visualization data set of the first plurality of data visualization data sets, represents at least a portion of data in a first unstructured data set;

receive a first plurality of user evaluations that evaluate the data visualizations corresponding to the first plurality of data visualization data sets; and

generate a first ranking based, at least in part on the first plurality of user evaluations.

10. The product of claim 9 wherein the program instructions are further executable the by one or more processors to:

receive a second data visualization data set, with the second data visualization data set corresponding to a data visualization of at least a portion of data in the first unstructured data set; and

further wherein the data visualization corresponding to the second visualization data set has been prepared with awareness of the first plurality of data visualization data sets and the first ranking.

11. The product of claim 10 wherein the program instructions are further executable by the one or more processors to:

add the second data visualization data set to the first plurality of data visualization data sets to create a second plurality of data visualization data sets;

receive a second plurality of user evaluations that evaluate the data visualizations corresponding to the second plurality of data visualization data sets; and

generate a second ranking based, at least in part on the second plurality of user evaluations.

12. The product of claim 9 wherein the program instructions are further executable by the one or more processors to generate a user interface that allow a user to choose to have displayed a sub-set of data visualizations corresponding to the first plurality of data visualization data sets, with the sub-set including less than all of the data visualizations corresponding to the first plurality of data visualizations, and with the sub-set being chosen in a way that is based, at least in part, on the first ranking.

13. The product of claim 9 wherein the program instructions are further executable by the one or more processors to:

store the first plurality of data visualization data sets in a cloud-implemented data repository.

14. The product of claim 13 wherein:

the cloud-implemented data repository is structured and/or programmed to be publically accessible; and

the first plurality of user evaluations are generated by members of the general public.

15. A computer system comprising:

one or more computer processors;

one or more computer readable tangible storage media;

program instructions stored on the one or more computer readable tangible storage media for execution by at least one of the one or more computer processors, the program instructions comprising program instructions to;

receive a first plurality of data visualization data sets, including a first data visualization data set, where each data visualization data set is machine readable data for generating a display of a data visualization, and each data visualization, respectively corresponding to a data visualization data set of the first plurality of data visualization data sets, represents at least a portion of data in a first unstructured data set;

receive a first plurality of user evaluations that evaluate the data visualizations corresponding to the first plurality of data visualization data sets; and

generate a first ranking based, at least in part on the first plurality of user evaluations.

16. The system of claim 15 wherein the program instructions are further executable by the one or more processors to:

receive a second data visualization data set, with the second data visualization data set corresponding to a data visualization of at least a portion of data in the first unstructured data set; and

further wherein the data visualization corresponding to the second visualization data set has been prepared with awareness of the first plurality of data visualization data sets and the first ranking.

17. The system of claim 16 wherein the program instructions are further executable by the one or more processors to:

add the second data visualization data set to the first plurality of data visualization data sets to create a second plurality of data visualization data sets;

receive a second plurality of user evaluations that evaluate the data visualizations corresponding to the second plurality of data visualization data sets; and

generate a second ranking based, at least in part on the second plurality of user evaluations.

18. The system of claim 15 wherein the program instructions are further executable by the one or more processors to generate a user interface that allow a user to choose to have displayed a sub-set of data visualizations corresponding to the first plurality of data visualization data sets, with the sub-set including less than all of the data visualizations corresponding to the first plurality of data visualizations, and with the sub-set being chosen in a way that is based, at least in part, on the first ranking.

19. The system of claim 15 wherein the program instructions are further executable by the one or more processors to:

store the first plurality of data visualization data sets in a cloud-implemented data repository.

20. The system of claim 19 wherein:

the cloud-implemented data repository is structured and/or programmed to be publically accessible; and

the first plurality of user evaluations are generated by members of the general public.