Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance in automatically generate charts that visually describe each insight and in natural language text that describes each insight in such a way that it may be understandable to a general audience who may not have a familiarity with statistics.

Abstract: Tools and techniques are described for linking visual properties of charts to cells within tables. Methods provided by these tools enable users to select visual properties that are associated with graphical displays of chart data, and to link these visual properties to respective cells within the tables. User interfaces provided by these tools may provide representations of visual properties associated with the graphical displays of chart data, with these representations of the visual properties being responsive to user input to link the cells in the tables to the visual properties. These user interfaces may also include representations of the cells that are associated with the representations of the visual properties.

Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance in automatically generate charts that visually describe each insight and in natural language text that describes each insight in such a way that it may be understandable to a general audience who may not have a familiarity with statistics.

Abstract: Tools and techniques are described for linking visual properties of charts to cells within tables. Methods provided by these tools enable users to select visual properties that are associated with graphical displays of chart data, and to link these visual properties to respective cells within the tables. User interfaces provided by these tools may provide representations of visual properties associated with the graphical displays of chart data, with these representations of the visual properties being responsive to user input to link the cells in the tables to the visual properties. These user interfaces may also include representations of the cells that are associated with the representations of the visual properties.

Abstract: Tools and techniques are described for linking visual properties of charts to cells within tables. Methods provided by these tools enable users to select visual properties that are associated with graphical displays of chart data, and to link these visual properties to respective cells within the tables. User interfaces provided by these tools may provide representations of visual properties associated with the graphical displays of chart data, with these representations of the visual properties being responsive to user input to link the cells in the tables to the visual properties. These user interfaces may also include representations of the cells that are associated with the representations of the visual properties.