Abstract: A method, computer system, and a computer program product for dynamic data visualization is provided. The present invention may include identifying at least one set of facts in a human-readable text document. They present invention may then include retrieving, from an information source, a dataset associated with the at least one identified set of facts. The present invention may also include, in response to determining that the retrieved dataset includes a fact-supporting dataset, wherein the fact-supporting dataset is configured to validate the at least one identified set of facts, generating at least one data visualization based on the retrieved dataset. The present invention may further include providing the at least one generated data visualization for inserting into the human-readable text document to support the at least one identified set of facts.

Abstract: A method, computer system, and a computer program product for dynamic data visualization is provided. The present invention may include identifying at least one set of facts in a human-readable text document. They present invention may then include retrieving, from an information source, a dataset associated with the at least one identified set of facts. The present invention may also include, in response to determining that the retrieved dataset includes a fact-supporting dataset, wherein the fact-supporting dataset is configured to validate the at least one identified set of facts, generating at least one data visualization based on the retrieved dataset. The present invention may further include providing the at least one generated data visualization for inserting into the human-readable text document to support the at least one identified set of facts.

Abstract: Techniques are described for selecting, based on a data visualization intent specification and a defined set of data fields associated with a set of data, two or more Meta templates that meet the data visualization intent specification and that support the set of data fields, for determining chart parts that can be used within the selected Meta templates to form chart templates and for determining, based on a set of combination rules and the specification, the chart templates that meet the data visualization intent specification.

Abstract: A mechanism is provided in a data processing system for statistical clustering inferred from natural language to drive relevant analysis. The mechanism receives a natural language text from a user and processes the natural language text to identify an entity of interest and a focus of statistical analysis. The mechanism performs a follow-up question and answer conversation with the user to receiving from the user one or more driving factor values for the one or more driving factors. The mechanism determines at least one cluster of entities matching the one or more driving factor values and generates at least one data visualization of the data in the corpus for the focus of statistical analysis having a scope that is narrowed based on the at least one cluster of entities matching the one or more driving factor values.

Abstract: According to one embodiment of the present invention, a system generates an alternative visualization of a data set based on a specification of a selected first visualization of the data set and parameters comprising information about a data visualization goal and statistical relations between two of more variables in the data set. Embodiments of the present invention further include a computer program product for generating an alternative visualization in substantially the same manners described above.

Abstract: According to one embodiment of the present invention, a computer-implemented method generates an alternative visualization of a data set based on a specification of a selected first visualization of the data set and parameters comprising information about a data visualization goal and statistical relations between two or more variables in the data set. Embodiments of the present invention further include a system and computer program product for generating an alternative visualization in substantially the same manners described above.

Abstract: Techniques are described for selecting, based on a data visualization intent specification and a defined set of data fields associated with a set of data, two or more Meta templates that meet the data visualization intent specification and that support the set of data fields, for determining chart parts that can be used within the selected Meta templates to form chart templates and for determining, based on a set of combination rules and the specification, the chart templates that meet the data visualization intent specification.

Abstract: A mechanism is provided in a data processing system for statistical clustering inferred from natural language to drive relevant analysis. The mechanism receives a natural language text from a user and processes the natural language text to identify an entity of interest and a focus of statistical analysis. The mechanism performs a follow-up question and answer conversation with the user to receiving from the user one or more driving factor values for the one or more driving factors. The mechanism determines at least one cluster of entities matching the One or more driving factor values and generates at least one data visualization of the data in the corpus for the focus of statistical analysis having a scope that is narrowed based on the at least one cluster of entities matching the one or more driving factor values.

Abstract: One embodiment of the present invention discloses a method, computer program product, and system for a method of determining the credibility of a visualization. Visualization data is received from an electronic device. The visualization data is compared to a plurality of visualization credibility criteria to determine a level of credibility for each of the visualization credibility criteria. The credibility of the visualization is rated based on the level of credibility for each of the visualization credibility criteria.

Abstract: One embodiment of the present invention discloses a method, computer program product, and system for a method of determining the credibility of a visualization. Visualization data is received from an electronic device. The visualization data is compared to a plurality of visualization credibility criteria to determine a level of credibility for each of the visualization credibility criteria. The credibility of the visualization is rated based on the level of credibility for each of the visualization credibility criteria.

Abstract: A processor-implemented method for merging a plurality of visualizations is provided. The method may include receiving the plurality of visualizations. The method may further include analyzing a plurality of elements within the plurality of visualizations. Additionally, the method may include unifying the plurality of elements to generate at least one unified visualization, the at least one unified visualization being based on the analyzing of the plurality of elements. The method may also include producing a single output visualization based on the assembling of the at least one unified visualization.

Abstract: A processor-implemented method for merging a plurality of visualizations is provided. The method may include receiving the plurality of visualizations. The method may further include analyzing a plurality of elements within the plurality of visualizations. Additionally, the method may include unifying the plurality of elements to generate at least one unified visualization, the at least one unified visualization being based on the analyzing of the plurality of elements. The method may also include producing a single output visualization based on the assembling of the at least one unified visualization.

Abstract: One embodiment of the present invention discloses a method, computer program product, and system for a method of determining the credibility of a visualization. Visualization data is received from an electronic device. The visualization data is compared to a plurality of visualization credibility criteria to determine a level of credibility for each of the visualization credibility criteria. The credibility of the visualization is rated based on the level of credibility for each of the visualization credibility criteria.

Abstract: One embodiment of the present invention discloses a method, computer program product, and system for a method of determining the credibility of a visualization. Visualization data is received from an electronic device. The visualization data is compared to a plurality of visualization credibility criteria to determine a level of credibility for each of the visualization credibility criteria. The credibility of the visualization is rated based on the level of credibility for each of the visualization credibility criteria.

Abstract: According to one embodiment of the present invention, a computer-implemented method comprises generating an alternative visualization of a data set based on a specification of a selected first visualization of the data set and parameters comprising information pertaining to the data set.

Abstract: According to one embodiment of the present invention, a computer-implemented method comprises generating an alternative visualization of a data set based on a specification of a selected first visualization of the data set and parameters comprising information pertaining to the data set.

Abstract: A method and a system for analyzing a data value of interest in a multidimensional database. The data value of interest is first identified in a structured report. The data source for the structured report is retrieved. A context for the data value of interest in the data source is collected, for example, by extracting a slicer from the structured report, by extracting members of master-detail pages, or by extracting a default measure from the structured report. An analysis specification based on the collected context is then built, and the data value of interest is analyzed using the analysis specification. The result from analyzing the data value of interest may be presented in an analysis view.

Abstract: The invention discloses a method and system for defining prompts using declarative principles. By providing the means to specify various elements used in reports in a formal manner the invention allows report authors to easily and rapidly create effective customised reports, at the same time ensuring consistent styles are used. It achieves this without increasing the risk of damaging the integrity of the underlying data. The invention formalises much of what was previously implemented in an ad hoc manner, and automates aspects that previously required the intervention of a database administrator and associated system programmer.