Interface for data analysis

Patent metadata

Field	Value
Publication number	US-2018165847-A1
Application number	US-201815877957-A
Country	US
Kind code	A1
Filing date	Jan 23, 2018
Priority date	Dec 14, 2016
Publication date	Jun 14, 2018
Grant date	—

Abstract

A method, system and computer program product for generating instances of dashboards, each dashboard instance including a set of visualizations of analytical data, relating to a collection of data. User interaction data representative of a user's actions undertaken during data exploration of the collection of data is obtained. A set of potential visualizations of analytical data relating to the collection of data is defined based on the user interaction data. At least one dashboard instance relating to the collection of data is defined based on the user interaction data and the set of potential visualizations.

First claim

1 . A computer-implemented method for generating instances of dashboards, each dashboard instance comprising a set of visualizations of analytical data, relating to a collection of data, the method comprising:
obtaining user interaction data representative of a user's actions undertaken during data exploration of the collection of data; defining, by a processor, based on the user interaction data, a set of potential visualizations of analytical data relating to the collection of data; and defining, by the processor, at least one dashboard instance relating to the collection of data, based on the user interaction data and the set of potential visualizations.

2 . The method as recited in claim 1 , wherein the step of defining the set of potential visualizations comprises:
defining, based on the user interaction data at least one of: a parameter of a graphical aspect of a visualization, and an analytical operation on the collection of data to generate the analytical data.

3 . The method as recited in claim 1 , wherein the user interaction data comprises information relating to at least one of:
a user-initiated state change of a data exploration process undertaken during the data exploration of the collection of data; a user-initiated sequence of states of the data exploration process undertaken during the data exploration of the collection of data; and a user-initiated indicator of interest in either data or an exploration state.

4 . The method as recited in claim 1 , wherein the step of obtaining user interaction data comprises:
providing a data exploration tool to the user for enabling exploration of the data collection; monitoring usage of the data exploration tool by the user; and generating user interaction data based on the monitored usage of the data exploration tool.

5 . The method as recited in claim 1 , wherein the step of defining the set of potential visualizations relating to the collection of data is further based on historical user interaction data relating to the user's previous actions or preferences for data exploration.

6 . The method as recited in claim 1 , wherein the step of defining the set of potential visualizations relating to the collection of data is further based on user feedback information relating to a previously defined dashboard instance of analytical data.

7 . The method as recited in claim 1 further comprising:
receiving user feedback information based on the generated dashboard instance of analytical data; and
storing the feedback information for use in defining a subsequent set of potential visualizations of analytical data.

8 . The method as recited claim 1 , wherein the step of defining a dashboard instance comprises:
associating each of the visualizations in the set of potential visualizations with a respective weighting value based on at least one of: the user interaction data; an analytical operation on the collection of data to generate the analytical data; a measure of relative importance of analytical data; a location of data used to generate the analytical data; and visual constraints on the dashboard instance; and for each of the visualizations, potentially including it on the dashboard instance based on its associated weighting value.

9 . The method as recited in claim 1 , wherein the step of obtaining the user interaction data comprises:
collecting run-time statistics relating to data access events by the user during data exploration of the collection of data; and processing the run-time statistics in accordance with an interaction inference algorithm to generate the user interaction data.

Assignees

• IBM

Inventors

• Broadbent Peter R
• Coolen Leo A
• Fitzpatrick Gregory
• Van Ham Franciscus J

Classifications

• G06Q10/0637

  Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals · CPC title

• G06F3/0481

  based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance · CPC title

• G06T11/26 Primary

  Drawing of charts or graphs · CPC title

• G06T11/206 Primary

  Physics · mapped topic