Context aware recommendation of analytic components

Abstract

Techniques to provide recommended data visualizations or analytical operations are disclosed. In various embodiments, an indication is received of a set of data for which a data visualization or analytical operation is to be provided. The set of data is analyzed to determine one or more data attributes of the set of data. A data visualization or analytical method to be recommended is selected for the set of data, based at least in part on the determined one or more data attributes.

1 . A method of operating a visualization platform to create context aware recommendations for analytic components, comprising:
 storing data sets, rules for at least one data set, associated data set attributes, and recommendations from users for at least one visualization type and at least one user-altered visualization type;   the rules for determining the at least one visualization type and the at least one user-altered visualization type, priorities relative to the at least one visualization type and the at least one user-altered visualization type, at least one analytic method type, and at least one filtering operation for the at least one data set;   the at least one analytic method type determined based on values of the associated data set, the priorities determined based on the recommendation from users;   the at least one filtering operation determined based on at least one of selected from a group comprising the at least one data set, values in the at least one data set, the at least one visualization type, the at least one user-altered visualization type, and the at least one analytic method type;   generating a user interface configured for receiving user inputs, wherein the inputs comprise an indication of a set of data for which a visualization is to be provided.   
     
     
         2 . The method of  claim 1 , wherein the at least one visualization type and the at least one user-altered visualization type determined based on the associated data set attributes and at least one of selected from a group comprising the priorities and the analytic method type. 
     
     
         3 . The method of  claim 1 , further comprising:
 determining at least one attribute of the set of data;   analyzing values of the set of data;   comparing the at least one attribute and the analysis results of the analyzed values with the rules, associated data attributes, and recommendations to determine at least one selected from a group comprising a visualization and a user-altered visualization, and to determine at least one selected from a group comprising an analytical method and a filtering operation; and   ranking each of the determined visualization, the user-altered visualization, and the analytic method.   
     
     
         4 . The method of  claim 3 , further comprising:
 generating a data visualization analytics dashboard configured for:
 displaying at least one selected from a group comprising a ranked visualization and a ranked user-altered visualization. 
   
     
     
         5 . The method of  claim 4 , further comprising;
 displaying results of at least one ranked analytic method and a control panel having a list of data sets, the data sets capable of being filtered based on each determined filtering operation.   
     
     
         6 . The method of  claim 4 , further comprising:
 receiving at least one associated data visualization alteration for at least one displayed selected data visualization;   receiving a user recommendation to at least one of: reject a ranked data visualization of the at least one ranked data visualization; obtain more like the ranked data visualization of the at least one ranked data visualization; and add the ranked data visualization of the at least one ranked data visualization; and   storing the user recommendation.   
     
     
         7 . The method of  claim 5 , further comprising:
 receiving at least one associated data visualization alteration for at least one displayed selected data visualization;   receiving a user recommendation to at least one of: reject a ranked data visualization of the at least one ranked data visualization; obtain more like the ranked data visualization of the at least one ranked data visualization; and add the ranked data visualization of the at least one ranked data visualization; and   storing the user recommendation.   
     
     
         8 . A system of operating a visualization platform to create context aware recommendations for analytic components, comprising:
 a memory; and   a processor coupled to the memory and configured to:   store data sets, rules for at least one data set, associated data set attributes, and recommendations from users for at least one visualization type and at least one user-altered visualization type;   the rules for determining the at least one visualization type and the at least one user-altered visualization type, priorities relative to the at least one visualization type and the at least one user-altered visualization type, at least one analytic method type, and at least one filtering operation for the at least one data set;   the at least one analytic method type determined based on values of the associated data set, the priorities determined based on the recommendation from users;   the at least one filtering operation determined based on at least one of selected from a group comprising the at least one data set, values in the at least one data set, the at least one visualization type, the at least one user-altered visualization type, and the at least one analytic method type;   generate a user interface configured for receiving user inputs, wherein the inputs comprise an indication of a set of data for which a visualization is to be provided.   
     
     
         9 . The system of  claim 8 , wherein the at least one visualization type and the at least one user-altered visualization type determined based on the associated data set attributes and at least one of selected from a group comprising the priorities and the analytic method type. 
     
     
         10 . The system of  claim 8 , wherein the processor is further configured to:
 determine at least one attribute of the set of data;   analyze values of the set of data;   compare the at least one attribute and the analysis results of the analyzed values with the rules, associated data attributes, and recommendations to determine at least one selected from a group comprising a visualization and a user-altered visualization, and to determine at least one selected from a group comprising an analytical method and a filtering operation; and   rank each of the determined visualization, the user-altered visualization, and the analytic method.   
     
     
         11 . The system of  claim 10 , wherein the processor is further configured to:
 generate a data visualization analytics dashboard; and   display at least one selected from a group comprising a ranked visualization and a ranked user-altered visualization.   
     
     
         12 . The system of  claim 11 , wherein the processor is further configured to:
 display results of at least one ranked analytic method and a control panel having a list of data sets, the data sets capable of being filtered based on each determined filtering operation.   
     
     
         13 . The system of  claim 11 , wherein the processor is further configured to:
 receive at least one associated data visualization alteration for at least one displayed selected data visualization;   receive a user recommendation to at least one of: reject a ranked data visualization of the at least one ranked data visualization; obtain more like the ranked data visualization of the at least one ranked data visualization; and add the ranked data visualization of the at least one ranked data visualization; and   store the user recommendation.   
     
     
         14 . The system of  claim 12 , wherein the processor is further configured to:
 receive at least one associated data visualization alteration for at least one displayed selected data visualization;   receive a user recommendation to at least one of: reject a ranked data visualization of the at least one ranked data visualization; obtain more like the ranked data visualization of the at least one ranked data visualization; and add the ranked data visualization of the at least one ranked data visualization; and   store the user recommendation.   
     
     
         15 . A computer program product embodied in a non-transitory computer readable medium for operating a visualization platform to create context aware recommendations for analytic components and comprising computer instructions for:
 storing data sets, rules for at least one data set, associated data set attributes, and recommendations from users for at least one visualization type and at least one user-altered visualization type;   the rules for determining the at least one visualization type and the at least one user-altered visualization type, priorities relative to the at least one visualization type and the at least one user-altered visualization type, at least one analytic method type, and at least one filtering operation for the at least one data set;   the at least one analytic method type determined based on values of the associated data set, the priorities determined based on the recommendation from users;   the at least one filtering operation determined based on at least one of selected from a group comprising the at least one data set, values in the at least one data set, the at least one visualization type, the at least one user-altered visualization type, and the at least one analytic method type;   generating a user interface configured for receiving user inputs, wherein the inputs comprise an indication of a set of data for which a visualization is to be provided.   
     
     
         16 . The computer program product of  claim 15 , wherein the at least one visualization type and the at least one user-altered visualization type determined based on the associated data set attributes and at least one of selected from a group comprising the priorities and the analytic method type. 
     
     
         17 . The computer program product of  claim 15 , further comprising computer instructions for:
 determining at least one attribute of the set of data;   analyzing values of the set of data;   comparing the at least one attribute and the analysis results of the analyzed values with the rules, associated data attributes, and recommendations to determine at least one selected from a group comprising a visualization and a user-altered visualization, and to determine at least one selected from a group comprising an analytical method and a filtering operation; and   ranking each of the determined visualization, the user-altered visualization, and the analytic method.   
     
     
         18 . The computer program product of  claim 17 , further comprising computer instructions for:
 generating a data visualization analytics dashboard configured for:
 displaying at least one selected from a group comprising a ranked visualization and a ranked user-altered visualization. 
   
     
     
         19 . The computer program product of claim of  claim 18 , further comprising computer instructions for;
 displaying results of at least one ranked analytic method and a control panel having a list of data sets, the data sets capable of being filtered based on each determined filtering operation.   
     
     
         20 . The computer program product of claim of  claim 18 , further comprising computer instructions for:
 receiving at least one associated data visualization alteration for at least one displayed selected data visualization;   receiving a user recommendation to at least one of: reject a ranked data visualization of the at least one ranked data visualization; obtain more like the ranked data visualization of the at least one ranked data visualization; and add the ranked data visualization of the at least one ranked data visualization; and   storing the user recommendation.