DATA FITTING SELECTED VISUALIZATION TYPE

• US 20150278315A1
• Filed: 04/01/2014
• Published: 10/01/2015
• Est. Priority Date: 04/01/2014
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Baumgartner, Patrick J., Rezaei, Pedram Faghihi, Udupa, Sharath Kodi, Gorbach, Irina, Wilson, Adam David
• Application Number:
  US14/242,607
• Publication Number:
  US 20150278315A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/248 Presentation of query results

Abstract

A mechanism to visualize data to a user in a sufficient manner. The user selects a visualization type to visualize a selected subset of a data model. To fit the data well into a visualization of that visualization type, the system then evaluates the user selections of the visualization type of the subset of data against the rule set. Based on the evaluation, the system determines that the subset of data does not populate or insufficiently populates the visualization type. In some embodiments, the system further recommends additional data to supplement the selected subset of data to more sufficiently utilize the visualization to display the subset of data in conjunction with the supplemented data. The system may further display the visualization based on the selected subset of the data model perhaps before and/or after supplemented with the supplemented data.

Claims

1. A method comprising:

an act of accessing a user selection of a visualization type;

an act of accessing a user selection of a subset of data from a data model;

an act of evaluating the user selections of the visualization type and the subset of data against a rule set that defines sufficiency of data for the selected visualization type; and

based on the evaluation, an act of determining that the subset of data does not populate or insufficiently populates the visualization type.

2. A method in accordance with claim 1, further comprising:

an act of displaying a visualization of the selected visualization type using the selected subset of data from the data model.

3. A method in accordance with claim 1, further comprising:

an act of recommending one or more additional data sets from the data model that would, according to the rule set, be more sufficient to populate the selected visualization type.

4. A method in accordance with claim 3, further comprising:

an act of detecting a user selection of at least one of the one or more recommended additional data sets.

5. A method in accordance with claim 4, further comprising:

an act of displaying a visualization of the selected visualization type using the selected subset of data from the model, and using the at least one recommended additional data set.

6. A method in accordance with claim 1, the data model being an authored data model.

7. A method in accordance with claim 6, the authored data model further being expanded with auxiliary information not originally within the authored data model.

8. A method in accordance with claim 1, the rule set defining sufficiency data for each of a plurality of visualization types.

9. A method in accordance with claim 8, the user selection of the visualization type being a first user selection of a first visualization type, the user selection of the subset of data being a first user selection of a first subset of the data, and the comparison being a first comparison, the method further comprising:

an act of accessing a second user selection of a second visualization type;

an act of accessing a second user selection of a second subset of data from the data model;

an act of evaluating the second user selection of the second visualization type and the second selection of the second subset of data against the rule set using sufficiency of data for the second visualization type; and

based on the second comparison, an act of determining that the second subset of data does not populate or “

insufficiently populates”

the second visualization type.

10. A method in accordance with claim 9, the second subset of data being the same as the first subset of data.

11. A method in accordance with claim 10, the method further comprising:

an act of displaying a visualization of the first selected visualization type using the first selected subset of data from the data model,

the act of accessing a second user selection of the second visualization type comprising;

an act of accessing a user request to switch from the first visualization type to the second visualization type at some point.

12. A method in accordance with claim 1, wherein the subset of data does not populate the visualization type.

13. A method in accordance with claim 1, wherein the subset of insufficiently populates the visualization type.

19. A computer program product in accordance with claim 14, the visualization type being a pie chart.

method in accordance with claim 1, further comprising:

an act of displaying a visualization of the selected visualization type using the selected subset of data from the data model.

14. A computer program product comprising one or more computer-readable storage media having thereon one or more computer-executable instructions that are structured such that, when executed by one or more processors of the computing system, cause the computing system respond to a user selection of a visualization and a user selection of a subset of data from the data model by performing the following:

an act of accessing a rule set that defines sufficiency of data for the selected visualization;

an act of evaluating the user selections of the visualization type and the subset of data against the rule set;

based on the evaluation, an act of determining that the subset of data does not populate or insufficiently populates the visualization type; and

an act of displaying a visualization of the visualization type.

15. A computer program product in accordance with claim 14, the visualization type being a scatter plot.

16. A computer program product in accordance with claim 14, the visualization type being a geographic visualization.

17. A computer program product in accordance with claim 14, the visualization type being a bar chart.

18. A computer program product in accordance with claim 14, the visualization type being a timeline.

20. A computer program product comprising one or more computer-readable storage media having thereon one or more computer-executable instructions that are structured such that, when executed by one or more processors of the computing system, cause the computing system respond to a user selection of a visualization and a user selection of a subset of data from the data model by performing the following:

an act of accessing a rule set that defines sufficiency of data for the selected visualization;

an act of evaluating the user selections of the visualization type and the subset of data against the rule set;

based on the evaluation, an act of determining that the subset of data does not populate or insufficiently populates the visualization type;

an act of recommending one or more additional data sets from the data model that would, according to the rule set, be more sufficient to populate the selected visualization type; and

in response to detecting a user selection of at least one of the one or more recommended data sets, an act of displaying a visualization of the selected visualization type using the selected subset of data from the model, and using the at least one recommended additional data set.

21. A system for a computer architecture comprising:

one or more processors;

an interface;

a memory containing computer-executable instructions which, when executed by the one or more processors perform a computer-implemented which comprises;

at the interface, using a visualization type selector to select one visualization type from among a plurality of available visualization types;

at the interface, using a data subset selector to select a first subset of data from a stored data model;

the one or more processors then accessing a stored rule set and using the stored rule set to perform an evaluation of the selected one visualization type and the selected first subset of data to determine whether the selected first subset of data is sufficient for display using the selected visualization type;

based on the evaluation, the one or more processors determining that the selected first subset of data does not populate or insufficiently populates the selected one visualization type; and

the one or more processors then using the rule set to determine either a new visualization type or a new subset of data, or both, that provide sufficient population of at least one of the plurality of visualization types.

22. The system of claim 21, wherein the determination of either a new visualization type or a new subset of data, or both, that provide sufficient population of at least one of the plurality of visualization types comprises, at the interface, using the visualization type selector to select a different visualization type from among the plurality of available visualization types that will permit sufficient population of the different visualization type using the selected first subset of data.

23. The system claim 21, wherein the determination of either a new visualization type or a new subset of data, or both, that provide sufficient population of at least one of the plurality of visualization types comprises, at the interface, using a recommendation selector to select a recommended second subset of data from the stored data model, wherein the recommended second subset of data provides sufficient population of the selected one visualization type either alone or in combination with the selected first subset of data.

24. The system of claim 21, wherein the determination of either a new visualization type or a new subset of data, or both, that provide sufficient population of at least one of the plurality of visualization types comprises, at the interface,

using the visualization type selector to select a different visualization type from among the plurality of available visualization types, and

using a recommendation selector to select a recommended second subset of data from the stored data model, wherein the recommended second subset of data provides sufficient population of the selected different visualization type either alone or in combination with the selected first subset of data.