Abstract: A data visualization application receives user actions to (i) associate a first data field with a first shelf and (ii) associate second and third data fields with a second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third data fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the data fields, and each group of tuples corresponding to a distinct value of the second data field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple.

Abstract: An exemplary method receives user actions to (i) associate a first field with a first shelf and (ii) associate second and third fields with a second shelf. The second field is positioned at an outer-most position on the second shelf and the third field is positioned at an inner-most position on the second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the fields, and each group of tuples corresponding to a distinct value of the second field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple.

Abstract: An exemplary method receives user actions to (i) associate a first field with a first shelf and (ii) associate second and third fields with a second shelf. The second field is positioned at an outer-most position on the second shelf and the third field is positioned at an inner-most position on the second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the fields, and each group of tuples corresponding to a distinct value of the second field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple.

Abstract: An exemplary method receives user actions to (i) associate a first field with a first shelf and (ii) associate second and third fields with a second shelf. The second field is positioned at an outer-most position on the second shelf and the third field is positioned at an inner-most position on the second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the fields, and each group of tuples corresponds to a distinct value of the second field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple.

Abstract: A process displays a data visualization user interface on a computing device. Using the user interface, a user selects a data set and a set of configuration parameters. The parameters selected include (i) a first data field from the data set to define a first axis of a two-dimensional data visualization and (ii) a second data field to define a second axis of the data visualization. When the user selects the first axis, the interface displays an axis configuration window. The user selects the symmetric log axis scaling option for the first axis. The device retrieves the data set from a database according to the configuration parameters. The device then generates and displays the data visualization according to the configuration parameters, including scaling the first axis of the data visualization using a symmetric log transformation function and displaying axis tick marks on the first axis according to the scaling.