Systems and Methods for Ranking Data Visualizations Using Different Data Fields

• US 20150278214A1
• Filed: 04/01/2014
• Published: 10/01/2015
• Est. Priority Date: 04/01/2014
• Status: Abandoned Application

• Current Assignee: Tableau Software Incorporated (Salesforce.com, Inc.)
• Original Assignee: Tableau Software Incorporated (Salesforce.com, Inc.)
• Inventors: Mackinlay, Jock Douglas, Anand, Anushka, Wongsuphasawat, Kanit
• Application Number:
  US14/242,857
• Publication Number:
  US 20150278214A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/338 Presentation of query results

Abstract

A method ranks data visualizations. A user selects a set of data fields from a set of data. A device identifies a plurality of data visualizations that use each data field in the user-selected set of data fields and identifies a plurality of respective alternative data visualizations. Each respective alternative data visualization uses each data field in a respective modified set of data fields. Each respective modified set differs from the user-selected set by a limited sequence of atomic operations. For each of the data visualizations and each of the alternative data visualizations, the device computes a score based on a set of ranking criteria. At least one criterion used to compute each score uses values of one or more of the data fields in the set of data. The list of high scoring data visualizations and alternative data visualizations is presented to the user.

Claims

1. A method of ranking data visualizations, comprising:

at a computing device having one or more processors and memory, wherein the memory stores one or more programs for execution by the one or more processors;

receiving user selection of a set of data fields from a set of data;

identifying a plurality of data visualizations that use each data field in the user-selected set of data fields;

identifying a plurality of respective alternative data visualizations, wherein each respective alternative data visualization uses each data field in a respective modified set of data fields, and wherein each respective modified set differs from the user-selected set by a limited sequence of atomic operations;

for each of the data visualizations and each of the alternative data visualizations, computing a score based on a set of ranking criteria, wherein at least one criterion used to compute each score uses values of one or more of the data fields in the set of data; and

presenting data visualization options to the user, wherein the presented options correspond to high scoring data visualizations and high scoring alternative data visualizations.

2. The method of claim 1, wherein the data visualization options are presented to the user in a single ranked list that is ordered according to the computed scores of the data visualizations and the computed scores of the alternative data visualizations.

3. The method of claim 1, wherein the data visualization options are presented to the user in two ranked lists, a first ranked list comprising high scoring data visualizations, ordered according to corresponding computed scores, and a second ranked list comprising high scoring alternative data visualizations, ordered according to corresponding computed scores.

4. The method of claim 1, wherein the sequence of atomic operations is limited to two atomic operations.

5. The method of claim 1, wherein each of the atomic operations is selected from the group consisting of:

removing a single data field from the user-selected set;

adding a single data field to the user-selected set;

replacing a user-selected data field with a hierarchically narrower data field from the set of data;

replacing a user-selected data field with a hierarchically broader data field from the set of data;

adding a filter to a data field that limits values retrieved to a specified subset of values;

removing a user-selected filter from a data field so that there is no limit on values retrieved for the data field; and

modifying a filter for a data field, thereby altering values retrieved for the data field.

6. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by including an additional data field from the set of data.

7. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by removing a user-selected data field.

8. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by replacing a first user-selected data field with a different data field that is hierarchically narrower than the first user-selected data field.

9. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by replacing a first user-selected data field with a different data field that is hierarchically broader than the first user-selected data field.

10. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by applying a filter to a user-selected data field, thereby limiting values of the user-selected data field to a first set of values, wherein the filter is not selected by the user.

11. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by removing a user-selected filter for a user-selected data field.

12. The method of claim 1, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by modifying a user-selected filter for a data field, thereby altering values retrieved for the data field.

13. The method of claim 1, further comprising:

receiving user selection from the presented data visualization options; and

displaying a data visualization on the computing device corresponding to the user selected option.

14. A computer system for ranking data visualizations, comprising:

one or more processors;

memory; and

one or more programs stored in the memory for execution by the one or more processors, the one or more programs comprising instructions for;

receiving user selection of a set of data fields from a set of data;

identifying a plurality of data visualizations that use each data field in the user-selected set of data fields;

identifying a plurality of respective alternative data visualizations, wherein each respective alternative data visualization uses each data field in a respective modified set of data fields, and wherein each respective modified set differs from the user-selected set by a limited sequence of atomic operations;

for each of the data visualizations and each of the alternative data visualizations, computing a score based on a set of ranking criteria, wherein at least one criterion used to compute each score uses values of one or more of the data fields in the set of data; and

presenting data visualization options to the user, wherein the presented options correspond to high scoring data visualizations and high scoring alternative data visualizations.

15. The computer system of claim 14, wherein the data visualization options are presented to the user in a single ranked list that is ordered according to the computed scores of the data visualizations and the computed scores of the alternative data visualizations.

16. The computer system of claim 14, wherein the data visualization options are presented to the user in two ranked lists, a first ranked list comprising high scoring data visualizations, ordered according to corresponding computed scores, and a second ranked list comprising high scoring alternative data visualizations, ordered according to corresponding computed scores.

17. The computer system of claim 14, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by including an additional data field from the set of data.

18. The computer system of claim 14, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by removing a user-selected data field.

19. The computer system of claim 14, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by replacing a first user-selected data field with a different data field that is hierarchically narrower than the first user-selected data field.

20. The computer system of claim 14, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by replacing a first user-selected data field with a different data field that is hierarchically broader than the first user-selected data field.

21. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs comprising instructions for:

receiving user selection of a set of data fields from a set of data;

identifying a plurality of data visualizations that use each data field in the user-selected set of data fields;

identifying a plurality of respective alternative data visualizations, wherein each respective alternative data visualization uses each data field in a respective modified set of data fields, and wherein each respective modified set differs from the user-selected set by a limited sequence of atomic operations;

for each of the data visualizations and each of the alternative data visualizations, computing a score based on a set of ranking criteria, wherein at least one criterion used to compute each score uses values of one or more of the data fields in the set of data; and

presenting data visualization options to the user, wherein the presented options correspond to high scoring data visualizations and high scoring alternative data visualizations.

22. The computer readable storage medium of claim 21, wherein the data visualization options are presented to the user in a single ranked list that is ordered according to the computed scores of the data visualizations and the computed scores of the alternative data visualizations.

23. The computer readable storage medium of claim 21, wherein the data visualization options are presented to the user in two ranked lists, a first ranked list comprising high scoring data visualizations, ordered according to corresponding computed scores, and a second ranked list comprising high scoring alternative data visualizations, ordered according to corresponding computed scores.

24. The computer readable storage medium of claim 21, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by replacing a first user-selected data field with a different data field that is hierarchically narrower than the first user-selected data field.

25. The computer readable storage medium of claim 21, wherein at least one of the alternative data visualizations is based on a modified set of data fields that differs from the user-selected set of data fields by replacing a first user-selected data field with a different data field that is hierarchically broader than the first user-selected data field.