Tableau Software, Inc.

Bryan Alexander Feddern

Rodion Degtyar

Vladimir Kondrashov

Jun Ho Kim

Matthew Michael Brehmer

Allison Anne Whilden

Steven Richard Hollasch

Raphael Hsieh

Jonathan D Que

Dirk Karis

Jan Michael Timmerman

Roger Bruce Dubbs, Iii

Dan Zheng

John Michael Lounsbery

Kent Marten

Alethea Scattergood Bair-sutherland

Lauren Lea Jackson

Jialin Le

Zoltan Foley-fisher

Ashwin Kumar

Anamaria Crisan

Harveen Kathuria Kaza

Nathan Robert Mannheimer

Nicholas Adam Hritsko

Robert Howard Brill, Jr

Yang Su

Patrick Kenneth McKay

A computing device displays, in a user interface, a workflow that includes a plurality of steps. In response to user selection of a first step of the plurality of steps, the computing device displays a list of data sources. The device receives user selection of a first data source of the data sources. The device receives user input specifying a target data field from the first data source and a modeling objective for the target data field. In response to the user input, the device automatically executes a model to predict a first outcome for the target data field based on the modeling objective. The device displays results of the model. The device receives user input to deploy the model. In accordance with the user input, the device deploys the model.

User interface for machine learning model generation

A computer system animates data visualizations. The system displays a graphical user interface, including a schema region with data field icons representing data fields from a data source and a canvas region displaying a data visualization having visual marks representing data according to visual properties. A user associates a data field icon, representing a data field, with a visual property of the visual marks. In response, the system modifies the data visualization so that the visual property of each visual mark is displayed according to data values of the data field. A user associates a second data field icon, representing a second data field, with a second visual property of the visual marks. The second visual property specifies a nonstop animation format. In response, the system modifies the data visualization to animate the visual marks according to the second visual property and data values for the second data field.

Data analysis platform with animation for rendering graphical representations of data

A method generates map visualizations with multiple map layers. A user selects a data source with geographic data. A device displays a data visualization user interface, including a schema information region with data fields, and shelf regions that defining characteristics for a data visualization. The user selects a first geographic data, and the user interface generates a map data visualization using coordinates associated with the first geographic data field. The visualization includes a first plurality of data marks in a first layer. The user selects a second geographic data field. In response, the user interface displays a new layer icon. Upon activation of the new layer icon by the second geographic data field, the user interface superimposes a second layer over the existing map data visualization to form an updated map data visualization. The second layer includes a second plurality of data marks corresponding to the second geographic data field.

Map data visualizations with multiple superimposed marks layers

Growing community of inventors

Seattle, WA, United States of America

Bryan Alexander Feddern