Automatic selection of different visualizations for the organization of multivariate data

• US 9,299,173 B2
• Filed: 06/07/2011
• Issued: 03/29/2016
• Est. Priority Date: 06/07/2011
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Rope, Daniel J., Wills, Graham J.
• Primary Examiner(s): Hon, Ming
• Assistant Examiner(s): Le, Sarah
• Application Number:
  US13/154,594
• Publication Number:
  US 20120313947A1
• Time in Patent Office: 1,757 Days
• Field of Search: 345/440
• US Class Current: 1/1
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 40/18 of spreadsheets form-filling G06F40/174
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

According to one embodiment of the present invention, a computer-implemented method comprises generating a plurality of charts to visually represent a multivariate data set, mapping variables within the multivariate data set to components of each chart, calculating a score value for each chart based on a plurality of factors, and presenting one or more of the plurality of charts based on corresponding score value.

Claims

1. A system comprising:

a computer system including at least one data module configured to;

generate a plurality of charts that visually represent data from a multivariate data set, wherein the generating a plurality of charts includes initially reducing a search space of potential chart candidates to be considered for presentation based on a corresponding score value by analyzing metadata associated with the multivariate data set in combination with statistical analysis of the data to determine relationships between variables of the multivariate data set, the determination of relationships between variables of the multivariate data set including a bivariate analysis that determines strengths for combinations of pairs of variables and a random forest model analysis that determines relationships between more than two variables;

map variables within the multivariate data set to components of each chart;

calculate a score value for each chart based on a plurality of factors; and

present one or more of the plurality of charts based on corresponding score value for display, wherein the presenting further comprises;

presenting a visual display comprising a plurality of nodes, wherein the nodes represent variables of the multivariate data set and line connections between nodes are displayed differently based upon a bivariate relationship between the nodes connected by each line connection;

facilitating navigation from the visual display comprising the plurality of nodes to a visual display of a first chart associated with a first variable of the multivariate data set in response to selection of a node corresponding with the first variable; and

facilitating further navigation from the visual display of the first chart to a plurality of additional charts representing different variables associated with the first variable;

wherein at least one chart of the first chart and the additional charts comprises a plot of data represented by one of a line chart, a point chart, an area chart, a bar chart, and a pie chart.

2. The system of claim 1, wherein one of the plurality of factors comprises strength of association between components of each chart.

3. The system of claim 1, wherein one of the plurality of factors comprises suitability of each chart component and the variable mapped to that chart component.

4. The system of claim 1, wherein one of the plurality of factors comprises complexity of each chart.

5. The system of claim 1, wherein the data module is configured to present one or more of the plurality of charts by presenting a subset of the plurality of charts, the subset of charts having greater score values.

6. The system of claim 1, wherein the data module is configured to generate a plurality of charts by initially reducing a search space of potential chart candidates to be considered for presentation based on corresponding score value by analyzing metadata associated with the multivariate data set in combination with statistical analysis of the data to determine relationships between variables of the multivariate data set.

7. The system of claim 1, wherein each node of the visual display is connected with at least one other node, and a connection between two nodes indicates a bivariate relationship between variables of the multivariate data set associated with the two nodes.

8. A computer program product comprising:

a storage device comprising a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code configured to;

generate a plurality of charts that visually represent data from a multivariate data set, wherein the generating a plurality of charts includes initially reducing a search space of potential chart candidates to be considered for presentation based on a corresponding score value by analyzing metadata associated with the multivariate data set in combination with statistical analysis of the data to determine relationships between variables of the multivariate data set, the determination of relationships between variables of the multivariate data set including a bivariate analysis that determines strengths for combinations of pairs of variables and a random forest model analysis that determines relationships between more than two variables;

map variables within the multivariate data set to components of each chart;

calculate a score value for each chart based on a plurality of factors; and

present one or more of the plurality of charts based on corresponding score value for display, wherein the presenting further comprises;

presenting a visual display comprising a plurality of nodes, wherein the nodes represent variables of the multivariate data set and line connections between nodes are displayed differently based upon a bivariate relationship between the nodes connected by each line connection;

facilitating navigation from the visual display comprising the plurality of nodes to a visual display of a first chart associated with a first variable of the multivariate data set in response to selection of a node corresponding with the first variable; and

facilitating further navigation from the visual display of the first chart to a plurality of additional charts representing different variables associated with the first variable;

wherein at least one chart of the first chart and the additional charts comprises a plot of data represented by one of a line chart, a point chart, an area chart, a bar chart, and a pie chart.

9. The computer program product of claim 8, wherein one of the plurality of factors comprises strength of association between components of each chart.

10. The computer program product of claim 8, wherein one of the plurality of factors comprises suitability of each chart component and the variable mapped to that chart component.

11. The computer program product of claim 8, wherein one of the plurality of factors comprises complexity of each chart.

12. The computer program product of claim 8, wherein the computer readable program code is configured to present one or more of the plurality of charts by presenting a subset of the plurality of charts, the subset of charts having greater score values.

13. The computer program product of claim 8, wherein the computer readable program code is configured to generate a plurality of charts by initially reducing a search space of potential chart candidates to be considered for presentation based on corresponding score value by analyzing metadata associated with the multivariate data set in combination with statistical analysis of the data to determine relationships between variables of the multivariate data set.

14. The computer program product of claim 8, wherein each node of the visual display is connected with at least one other node, and a connection between two nodes indicates a bivariate relationship between variables of the multivariate data set associated with the two nodes.

15. A computer-implemented method comprising:

generating a plurality of charts that visually represent data from a multivariate data set, wherein the generating a plurality of charts includes initially reducing a search space of potential chart candidates to be considered for presentation based on a corresponding score value by analyzing metadata associated with the multivariate data set in combination with statistical analysis of the data to determine relationships between variables of the multivariate data set, the determination of relationships between variables of the multivariate data set including a bivariate analysis that determines strengths for combinations of pairs of variables and a random forest model analysis that determines relationships between more than two variables;

mapping variables within the multivariate data set to components of each chart;

calculating a score value for each chart based on a plurality of factors; and

presenting one or more of the plurality of charts based on corresponding score value for display, wherein the presenting further comprises;

presenting a visual display comprising a plurality of nodes, wherein the nodes represent variables of the multivariate data set and line connections between nodes are displayed differently based upon a bivariate relationship between the nodes connected by each line connection;

facilitating navigation from the visual display comprising the plurality of nodes to a visual display of a first chart associated with a first variable of the multivariate data set in response to selection of a node corresponding with the first variable; and

facilitating further navigation from the visual display of the first chart to a plurality of additional charts representing different variables associated with the first variable;

wherein at least one chart of the first chart and the additional charts comprises a plot of data represented by one of a line chart, a point chart, an area chart, a bar chart, and a pie chart.