THREE DIMENSIONAL VISUALIZATION OF BIG DATA

• US 20150317807A1
• Filed: 04/30/2014
• Published: 11/05/2015
• Est. Priority Date: 04/30/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bartley, Timothy S., Bray, Gavin G., Hughes, Elizabeth M., Singh, Kalvinder P.
• Granted Patent: US 9,684,983 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G06T 15/00 3D [Three Dimensional] image rendering

Abstract

A method for visualization of big data using three dimensional pie charts. The method includes receiving at least a first set of data, comprising information detailing one or more subsets of values, each value having an associated time element. The method includes determining a three dimensional pie chart based on the at least first set of data, which includes at least as first layer comprising a first set of wedges and a second layer comprising a second set of wedges. The method includes displaying the three dimensional pie chart comprising at least the first layer and the second layer.

Claims

1. A method for visualization of big data using three dimensional pie charts, the method comprising:

receiving, by one or more processors, at least a first set of data, wherein the at least first set of data comprises information detailing one or more subsets of values, wherein each value has an associated time element;

determining, by one or more processors, a three dimensional pie chart based on the at least first set of data, wherein the three dimensional pie chart includes at least a first layer and a second layer, and wherein the first layer comprises a first set of wedges, and the second layer comprises a second set of wedges; and

displaying, by one or more processors, the three dimensional pie chart, wherein the three dimensional pie chart comprises at least the first layer and the second layer.

2. The method of claim 1, wherein determining a three dimensional pie chart further comprises:

determining, by one or more processors, a height of the at least first layer and the second layer based on the time element; and

determining, by one or more processors, a diameter of the at least first layer and the second layer based on the at least first set of data.

3. The method of claim 2, wherein the step of determining a height of the at least first layer and the second layer based on the time element further comprises:

receiving, by one or more processors, a user input detailing a total height of the three dimensional pie chart;

determining, by one or more processors, a height of the first layer based on a first height factor, wherein the first height factor is determined based on the time element, a relative height of the second layer, and the total height of the three dimensional pie chart; and

determining, by one or more processors, a height of the second layer based on a second height factor, wherein the second height factor is determined based on the time element, a relative height of the at least first layer, and the total height of the three dimensional pie chart.

4. The method of claim 2, wherein the step of determining a diameter of the at least first layer and the second layer based on the at least first set of data, further comprises:

receiving, by one or more processors, a user input detailing a maximum diameter for the at least first layer and the second layer of the three dimensional pie chart;

determining, by one or more processors, a diameter of the first layer, based on a first diameter factor, wherein the first diameter factor comprises the at least first set of data, a relative diameter of the second layer, and the maximum diameter for the at least first layer and the second layer; and

determining, by one or more processors, a diameter of the second layer based on a second diameter factor, wherein the second diameter factor comprises the at least first set of data, the relative diameter of the at least first layer, and the maximum diameter for the at least first layer and the second layer.

5. The method of claim 1, wherein determining a three dimensional pie chart based on the at least first set of data further comprises:

determining, by one or more processors, a second set of data, associated with the at least first set of data, is unknown; and

generating, by one or more processors, a subset of values associated with the second set of data using interpolation, wherein interpolation comprises an estimation calculation of the subset of values associated with the second set of data, by using a subset of values from the at least first set of data.

6. A computer program product for visualization of big data using three dimensional pie charts, the computer program product comprising:

a computer readable storage medium and program instructions stored on the computer readable storage medium, the program instructions comprising;

program instructions to receive at least a first set of data, wherein the at least first set of data comprises information detailing one or more subsets of values, and wherein each value has an associated time element;

program instructions to determine a three dimensional pie chart based on the at least first set of data, wherein the three dimensional pie chart includes at least a first layer and a second layer, and wherein the first layer comprises a first set of wedges and the second layer comprises a second set of wedges; and

program instructions to display the three dimensional pie chart, wherein the three dimensional pie chart comprises at least the first layer and the second layer.

7. The computer program product of claim 6, wherein program instructions to determine a three dimensional pie chart further comprises:

program instructions to determine a height of the at least first layer and the second layer based on the time element; and

program instructions to determine a diameter of the at least first layer and the second layer based on the at least first set of data.

8. The computer program product of claim 7, wherein program instructions to determine a height of the at least first layer and the second layer based on the time element further comprises:

program instructions to receive a user input detailing a total height of the three dimensional pie chart;

program instructions to determine a height of the first layer based on a first height factor, wherein the first height factor is determined based on the time element, a relative height of the second layer, and the total height of the three dimensional pie chart; and

program instructions to determine a height of the second layer based on a second height factor, wherein the second height factor is determined based on the time element, a relative height of the at least first layer, and the total height of the three dimensional pie chart.

9. The computer program product of claim 7, wherein program instructions to determine a diameter of the at least first layer and the second layer based on the at least first set of data, further comprises:

program instructions to receive a user input detailing a maximum diameter for the at least first layer and the second layer of the three dimensional pie chart;

program instructions to determine a diameter of the first layer, based on a first diameter factor, wherein the first diameter factor comprises the at least first set of data, a relative diameter of the second layer, and the maximum diameter for the at least first layer and the second layer; and

program instructions to determine a diameter of the second layer based on a second diameter factor, wherein the second diameter factor comprises the at least first set of data, a relative diameter of the at least first layer, and the maximum diameter for the at least first layer and the second layer.

10. The computer program product of claim 6, wherein program instructions to determine a three dimensional pie chart based on the at least first set of data further comprises:

program instructions to determine a second set of data, associated with the at least first set of data, is unknown; and

program instructions to generate a subset of values associated with the second set of data using interpolation, wherein interpolation comprises an estimation calculation of the subset of values associated with the second set of data, by using a subset of values from the at least first set of data.

11. A computer system for visualization of big data using three dimensional pie charts, the computer system comprising:

one or more computer processors;

one or more computer readable storage media;

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

program instructions to receive at least a first set of data, wherein the at least first set of data comprises information detailing one or more subsets of values, and wherein each value has an associated time element;

program instructions to determine a three dimensional pie chart based on the at least first set of data, wherein the three dimensional pie chart includes at least a first layer and a second layer, and wherein the first layer comprises a first set of wedges and the second layer comprises a second set of wedges; and

program instructions to display the three dimensional pie chart, wherein the three dimensional pie chart comprises at least the first layer and the second layer.

12. The computer system of claim 11, wherein program instructions to determine a three dimensional pie chart further comprises:

program instructions to determine a height of the at least first layer and the second layer based on the time element; and

program instructions to determine a diameter of the at least first layer and the second layer based on the at least first set of data.

13. The computer system of claim 12, wherein program instructions to determine a height of the at least first layer and the second layer based on the time element further comprises:

program instructions to receive a user input detailing a total height of the three dimensional pie chart;

program instructions to determine a height of the first layer based on a first height factor, wherein the first height factor is determined based on the time element, a relative height of the second layer, and the total height of the three dimensional pie chart; and

program instructions to determine a height of the second layer based on a second height factor, wherein the second height factor is determined based on the time element, a relative height of the at least first layer, and the total height of the three dimensional pie chart.

14. The computer system of claim 12, wherein program instructions to determine a diameter of the at least first layer and the second layer based on the at least first set of data, further comprises:

program instructions to receive a user input detailing a maximum diameter for the at least first layer and the second layer of the three dimensional pie chart;

program instructions to determine a diameter of the first layer, based on a first diameter factor, wherein the first diameter factor comprises the at least first set of data, a relative diameter of the second layer, and the maximum diameter for the at least first layer and the second layer; and

program instructions to determine a diameter of the second layer based on a second diameter factor, wherein the second diameter factor comprises the at least first set of data, a relative diameter of the at least first layer, and the maximum diameter for the at least first layer and the second layer.

15. The computer system of claim 11, wherein program instructions to determine a three dimensional pie chart based on the at least first set of data further comprises:

program instructions to determine a second set of data, associated with the at least first set of data, is unknown; and

program instructions to generate a subset of values associated with the second set of data using interpolation, wherein interpolation comprises an estimation calculation of the subset of values associated with the second set of data, by using a subset of values from the at least first set of data.