Data analysis and visualization
Design and implementation of complicated data analyses and creation of visualizations to present the results of such analyses can be performed using a data analysis application.
1. A method comprising:
providing access to a dataset via a data analysis application;
receiving, by the data analysis application, selection of one or more subsets of data from within the dataset;
allowing selection of variables and ranges for the variables based on visual displays of the effects on range choices, the allowing occurring via a user interface of the data analysis application;
generating analysis content directly from within the application user interface without requiring input of underlying data analysis algorithms;
providing an integrated social network via which a user of the data analysis application shares the generated analysis content with another user; and
offering, via the social network, a subscription to the generated analysis content, wherein the generated analysis content offered by the subscription via the social network comprises a classifier protocol via which a subscribing user can receive predictions based on a predictive model, and wherein the integrated social network comprises subscription features for at least one of: following the generated analysis content, tagging the generated analysis content with a like tag, and tagging the generated analysis content with a dislike tag.
2. The method as in claim 1 , wherein the receiving selection of the one or more subsets of data from within the dataset comprises receiving a definition of a background data set and a focus set.
3. The method as in claim 2 , wherein the focus set comprises a subset of the background data set and the background data set comprises a set of entities selected from within at least one database upon which the data analysis application is configured to operate.
4. The method as in claim 2 , wherein the selection of variables and ranges for the variables comprises defining a classifier protocol based on user input comprising selection of one or more predictive criteria.
5. The method as in claim 4 , wherein the classifier protocol comprises a predictive model and a user-defined threshold, and wherein the method comprises providing a notification to a user of the data analysis application and/or another user of the classifier protocol based on a prediction generated by the predictive model constrained by the background data set, the focus set, and the one or more predictive criteria.
6. The method as in claim 1 , wherein the generated analysis content further comprises one or more predictive criteria, a background data set, and a focus set defined by a user of the data analysis application for the classifier protocol.
7. A computer program product comprising a machine-readable medium storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
providing access to a dataset via a data analysis application;
receiving, by the data analysis application, selection of one or more subsets of data from within the dataset;
allowing selection of variables and ranges for the variables based on visual displays of the effects on range choices, the allowing occurring via a user interface of the data analysis application;
generating analysis content directly from within the application user interface without requiring input of underlying data analysis algorithms;
providing an integrated social network via which a user of the data analysis application shares the generated analysis content with another user; and
offering, via the social network, a subscription to the generated analysis content, wherein the generated analysis content offered by the subscription via the social network comprises a classifier protocol via which a subscribing user can receive predictions based on a predictive model, and wherein the integrated social network comprises subscription features for at least one of: following the generated analysis content, tagging the generated analysis content with a like tag, and tagging the generated analysis content with a dislike tag.
8. The computer program product as in claim 7 , wherein the receiving selection of the one or more subsets of data from within the dataset comprises receiving a definition of a background data set and a focus set.
9. The computer program product as in claim 8 , wherein the focus set comprises a subset of the background data set and the background data set comprises a set of entities selected from within at least one database upon which the data analysis application is configured to operate.
10. The computer program product as in claim 8 , wherein the selection of variables and ranges for the variables comprises defining a classifier protocol based on user input comprising selection of one or more predictive criteria.
11. The computer program product as in claim 10 , wherein the classifier protocol comprises a predictive model and a user-defined threshold, and wherein the method comprises providing a notification to a user of the data analysis application and/or another user of the classifier protocol based on a prediction generated by the predictive model constrained by the background data set, the focus set, and the one or more predictive criteria.
12. The computer program product as in claim 7 , wherein the generated analysis content further comprises one or more predictive criteria, a background data set, and a focus set defined by a user of the data analysis application for the classifier protocol.
13. A system comprising:
computer hardware configured to perform operations comprising:
providing access to a dataset via a data analysis application;
receiving, by the data analysis application, selection of one or more subsets of data from within the dataset;
allowing selection of variables and ranges for the variables based on visual displays of the effects on range choices, the allowing occurring via a user interface of the data analysis application;
generating analysis content directly from within the application user interface without requiring input of underlying data analysis algorithms;
providing an integrated social network via which a user of the data analysis application shares the generated analysis content with another user; and
offering, via the social network, a subscription to the generated analysis content, wherein the generated analysis content offered by the subscription via the social network comprises a classifier protocol via which a subscribing user can receive predictions based on a predictive model, and wherein the integrated social network comprises subscription features for at least one of: following the generated analysis content, tagging the generated analysis content with a like tag, and tagging the generated analysis content with a dislike tag.
14. The system as in claim 13 , wherein the computer hardware comprises a programmable processor and a machine-readable medium storing instructions that, when executed by the programmable processor, cause the programmable processor to perform at least some of the operations.
15. The system as in claim 13 , wherein the generated analysis content further comprises one or more predictive criteria, a background data set, and a focus set defined by a user of the data analysis application for the classifier protocol.