Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.

Abstract: A computer readable storage medium comprises executable instructions to provide a workspace for a user to define an expression with expression components from a graphical palette associated with the workspace. Placeholders are indicated in the workspace for the expression components to be added by the user. The placeholders are associated with a data type. The data type is enforced for each placeholder. A structured visual representation of the expression is provided on the workspace.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source. The dataset includes a first set of categories. A data structure with nodes connected by edges is built to represent the dataset. A first set of merit values is calculated for the first set of categories. Each merit value is a measure of how efficient a category is in filtering data. The first set of categories is ordered based on a criterion. The first set of categories is then returned.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: A computer implemented method includes receiving a data filter from a first panel of filtering categories. The data filter is applied to a dataset wherein a resulting data subset is created. One or more further data filters is displayed within a nested second panel of filtering categories.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: According to some embodiments, a system, method, means, and/or computer program code are provided to facilitate use of a data sharing web server remote from a user device. According to some embodiments, information from a remote web resource server may be received at the user device (and the received information may include tabular data comprising cells arranged in a plurality of rows and a plurality of columns). A user selection of a portion of the received information may also be received at the user device, and the selected portion may include the tabular data. Enhanced information associated with the selected portion may be automatically generated and transmitted to the remote data sharing web server.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source. The dataset includes a first set of categories. A data structure with nodes connected by edges is built to represent the dataset. A first set of merit values is calculated for the first set of categories. Each merit value is a measure of how efficient a category is in filtering data. The first set of categories is ordered based on a criterion. The first set of categories is then returned.

Abstract: A computer readable storage medium comprises executable instructions to provide a workspace for a user to define an expression with expression components from a graphical palette associated with the workspace. Placeholders are indicated in the workspace for the expression components to be added by the user. The placeholders are associated with a data type. The data type is enforced for each placeholder. A structured visual representation of the expression is provided on the workspace.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.