Salesforce, Inc.

Tableau Software, Inc.

Tyler Martin

Bora Beran

Thomas Nhan

Jeffrey Mark Booth, Jr

Jeannine Frazier Boone

Russell Steven Paul-Jones

Jinbo Feng

Marian Simo Boitel

Franz Gustave Amador

A computing device receives user input specifying a first dimension data field and a second dimension data field. The device constructs a dimension subquery according to characteristics of the first dimension data field, the second dimension data field, a first object to which the first dimension data field belongs, and/or a second object to which the second dimension data field belongs, including determining a join type for combining (i) first data rows that include data values of the first dimension data field and (ii) second data rows that include data values of the second dimension data field. The device constructs the dimension subquery according to the determined join type, and executes the dimension subquery to retrieve first tuples. The device constructs measure subqueries and executes the measure subqueries to retrieve second tuples. The device forms extended tuples, and generates and displays the data visualization according to the extended tuples.

Query semantics for multi-fact data model analysis using shared dimensions

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.

Symmetric log axis scaling for a data visualization user interface

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Seattle, WA, United States of America

Tyler Martin