Visually representing series data sets in accordance with importance values

• US 7,716,227 B1
• Filed: 11/03/2005
• Issued: 05/11/2010
• Est. Priority Date: 11/03/2005
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Schreck, Toblas, Keim, Daniel, Dayal, Umeshwar, Hao, Ming C.
• Primary Examiner(s): Trujillo; James
• Assistant Examiner(s): Moser; Bruce M
• Application Number:
  US11/266,162
• Time in Patent Office: 1,650 Days
• Field of Search: 707/7, 345/418, 345/619, 715/271, 715/781, 715/798, 715/800, 715/806, 382/276, 702/176
• US Class Current: 707/748
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04

Abstract

A method comprises determining an importance value for each series data set among a plurality of series data sets and visually representing each of the series data sets in accordance with the importance values.

Claims

1. A method, comprising:

determining, by a computer, an importance value for each time series data set from among a plurality of time series data sets, wherein the importance value for each time series data set is calculated based on content of at least a portion of the corresponding time series data set;

visually representing, on a display, said time series data sets in accordance with the corresponding calculated importance values, wherein visually representing said time series data sets in accordance with the corresponding calculated importance values comprises allocating areas on the display to the time series data sets in accordance with the calculated importance values; and

aggregating corresponding groups of said calculated importance values into respective aggregated importance values, wherein each of the aggregated importance values corresponds to a respective group of the plurality of time series data sets,

wherein visually representing each of said time series data sets is further based on the aggregated importance values.

2. The method of claim 1, wherein the size of each of the areas is associated with the calculated importance value of the corresponding time series data set.

3. The method of claim 1, wherein visually representing said time series data sets in accordance with the corresponding calculated importance values and aggregated importance values comprises positioning each corresponding area on the display based on the calculated importance value of the corresponding time series data set and the corresponding aggregated importance value.

4. The method of claim 1, further comprising selecting one of the time series data sets and visually representing information about the selected time series data set, wherein said information comprises multiple data items that are visually represented based on an importance associated with each data item.

5. The method of claim 1, wherein determining the importance value for each time series data set calculated based on the content of at least the portion of the corresponding time series data set comprises performing an action selected from the group consisting of computing an average, a median, a maximum value, and a rate of change associated with the content of at least the portion of the corresponding time series data set.

6. The method of claim 1, wherein visually representing each of said time series data sets comprises displaying a bar chart.

7. The method of claim 1, wherein visually representing each of said time series data sets comprises displaying a bar chart comprising a plurality of bars and wherein each bar is displayed using a variable color or variable shading that corresponds to a data value represented by the bar.

8. The method of claim 1, further comprising sorting said time series data sets based on said calculated importance values and said aggregated importance values.

9. The method of claim 1, wherein aggregating at least some of said calculated importance values comprises computing a value that is a function of both a maximum of said at least some calculated importance values and a weighted average of all of said at least some calculated importance values.

10. The method of claim 1, wherein aggregating at least some of said calculated importance values comprises aggregating selected from the group consisting of:

calculating an average of said at least some of said calculated importance values; and

summing together said at least some of said calculated importance values.

11. The method of claim 1, wherein each of said time series data sets is visually represented in a corresponding area of the display, and the method further comprises choosing whether the areas are all of the same size but positioned on the display in accordance with the calculated importance values and aggregated importance values or whether at least one of the areas is of a different size in accordance with the calculated importance values.

12. The method of claim 1, further comprising computing a variability value that is indicative of a variability associated with at least some of said calculated importance values.

13. The method of claim 12 further comprising using said variability value to determine how to visually represent each of the time series data sets.

14. The method of claim 1, further comprising configuring a size and location of a graphical representation of each of said time series data sets based on a comparison of the calculated importance values.

15. The method of claim 1, wherein each of the areas is a rectangle in which a time series data set is to be plotted, said rectangle, when viewed on the display, is longer horizontally than vertically.

16. The method of claim 1, wherein determining the importance value for each time series data set calculated based on the content of at least the portion of the corresponding time series data set comprises determining the importance value for each time series data set calculated based on the content within a particular time period of the corresponding time series data set.

17. A system, comprising:

a display;

a processor;

storage accessible by said processor, said storage containing software that upon execution on the processor causes said processor to determine an importance value for each series data set from among a plurality of series data sets and to visually represent, in the display, each of said series data sets in corresponding areas of a graphical layout, wherein the areas have characteristics based on the importance values, wherein the areas are contained in larger areas representing groups of the series data sets, and wherein the larger areas have characteristics based on aggregations of the importance values;

wherein said software upon execution further causes said processor to compute the aggregations of said importance values, wherein computing the aggregations is according to a technique selected from the group consisting of;

calculating a value that is a function of a maximum of at least some importance values, calculating a value that is a function of a weighted average of all of said at least some importance values, calculating an average of said at least some of said importance values, and summing together said at least some of said importance values.

18. The system of claim 17 wherein the characteristics of the areas representing the corresponding series data sets comprise sizes of the areas that are dependent upon the importance values of the corresponding series data sets.

19. The system of claim 18 wherein the characteristics of the areas representing the corresponding series data sets further comprise positions of the areas on the display, wherein the positions of the areas are based on the importance values of the corresponding series data sets.

20. The system of claim 17 wherein the characteristics of the areas representing the corresponding series data sets comprise positions of the areas on the display, wherein the positions of the areas are based on the importance values of the corresponding series data sets.

21. The system of claim 17 wherein said software causing said processor to visually represent each of said series data sets causes said processor to display a bar chart.

22. The system of claim 17, wherein the importance value for each series data set is calculated based on content of at least a portion of the corresponding series data set.

23. The system of claim 22, wherein the plurality of series data sets comprise time series data sets, wherein the at least a portion is a particular time period, and wherein the importance value for each time series data set is calculated based on content within the particular time period of the corresponding time series data set.

24. The system of claim 17 wherein said software upon execution further causes said processor to compute the aggregations of said importance values, wherein the larger areas have characteristics based on the computed aggregations.

25. A system, comprising:

a display;

a processor;

storage accessible by said processor, said storage containing software that upon execution on the processor causes said processor to determine an importance value for each series data set from among a plurality of series data sets and to visually represent, in the display, each of said series data sets in corresponding areas of a graphical layout, wherein the areas have characteristics based on the importance values, wherein the areas are contained in larger areas representing groups of the series data sets, and wherein the larger areas have characteristics based on aggregations of the importance values;

wherein the software upon execution permits choosing whether the areas representing respective series data sets are all of the same size but positioned on the display in accordance with the importance values or whether at least one of the areas representing respective series data sets are of a different size in accordance with the importance values.

26. The system of claim 25 wherein the importance value for each series data set is determined by performing an action selected from the group consisting of computing an average, a median, a maximum value, and a rate of change associated with said series data set.

27. A system, comprising:

a display;

a processor;

storage accessible by said processor, said storage containing software that upon execution on the processor causes said processor to determine an importance value for each series data set from among a plurality of series data sets and to visually represent, in the display, each of said series data sets in corresponding areas of a graphical layout, wherein the areas have characteristics based on the importance values, wherein the areas are contained in larger areas representing groups of the series data sets, and wherein the larger areas have characteristics based on aggregations of the importance values;

wherein said software upon execution causes said processor to compute a variability value that is indicative of a variability associated with at least some of said importance values,

wherein said software upon execution causes said processor to use said variability value to determine how to visually represent each of the series data sets.

28. A processor-accessible storage medium containing instructions, which when executed by a processor, effect visually representing time series data sets, comprising:

determining an importance value for each time series data set from among a plurality of time series data sets, wherein the importance value for each time series data set is calculated based on content of at least a portion of the corresponding time series data set;

aggregating corresponding groups of said calculated importance values into respective aggregated importance values, wherein each of the aggregated importance values corresponds to a respective group of the plurality of time series data sets;

visually representing said time series data sets based on the corresponding calculated importance values and aggregated importance values,

wherein visually representing said series data sets in accordance with the corresponding calculated importance values comprises allocating areas on a display to the time series data sets in accordance with the calculated importance values.

29. The processor-accessible storage medium of claim 28 wherein the size of each of the areas is associated with the calculated importance value of the corresponding time series data set.

30. The processor-accessible storage medium of claim 28 wherein a position of each of the areas on the display is based on the calculated importance value of the corresponding time series data set.

31. The processor-accessible storage medium of claim 28 wherein determining the importance value for each time series data set calculated based on the content of at least the portion of the corresponding time series data set comprises performing an action selected from the group consisting of computing an average, a median, a maximum value, and a rate of change associated with the content of at least the portion of the corresponding time series data set.

32. The processor-accessible storage medium of claim 28, wherein visually representing said time series data sets based on the aggregated importance values comprises populating data of said time series data sets in the areas based on the aggregated importance values.

33. The processor-accessible storage medium of claim 28, wherein determining the importance value for each time series data set calculated based on the content of at least a portion of the corresponding time series data set comprises determining the importance value for each time series data set calculated based on the content within a particular time period of the corresponding time series data set.

34. The processor-accessible storage medium of claim 28, wherein aggregating a particular one of the groups of calculated importance values is according to a technique selected from the group consisting of:

calculating a value that is a function of a maximum of the calculated importance values in the particular group;

calculating a value that is a function of a weighted average of the calculated importance values in the particular group;

calculating an average of the calculated importance values in the particular group; and

summing together the calculated importance values in the particular group.

35. A method, comprising:

determining, by a computer, an importance value for each time series data set from among a plurality of time series data sets, wherein the importance value for each time series data set is calculated based on content of at least a portion of the corresponding time series data set;

aggregating corresponding groups of said calculated importance values into respective aggregated importance values, wherein each of the aggregated importance values corresponds to a respective group of the plurality of time series data sets;

associating, by the computer, each time series data set with a computed graphic;

positioning the graphics on a display based on the corresponding calculated importance values for the time series data sets and the corresponding aggregated importance values; and

visually representing, on the display, each of said time series data sets in each corresponding graphic.

36. The method of claim 35 wherein the graphics comprise a shape selected from a group consisting of rectangles, triangles, circles and ovals.

37. The method of claim 35, wherein aggregating a particular one of the groups of calculated importance values is according to a technique selected from the group consisting of:

calculating a value that is a function of a maximum of the calculated importance values in the particular group;

calculating a value that is a function of a weighted average of the calculated importance values in the particular group;

calculating an average of the calculated importance values in the particular group; and

summing together the calculated importance values in the particular group.