Tableau Software, Inc.

Microsoft Technology Licensing, LLC

Allison Anne Whilden

Filippos Lymperopoulos

Vidya Raghavan Setlur

Shikha Devesh Desai

Rodion Degtyar

Dirk Karis

Jonathan D Que

Alan Andrew Urdan

Rolf Arnold Ebeling

Ruth Kikin-Gil

Taili Feng

Paul Anthony Scudieri

Annice Jumani

Yu Mao

YuBeen Lee

Stephanie Cooper

Alicia Drummond

Amy Nicole Forstrom

Dennis Nathan Bromley

Bethany Meaghan Lyons

Amar Singh Lakhian

Lisa Ann Bailey

Roxanne Roberta Agerone

John Paul Rudolph

Benjamin Tonatiuh Medina-Orton

Ruyi Shen

Andrew Alex Kim

Jun Ho Kim

Michelle Elena Keslin

Theresa Ann Estrada

James Squires Masson

Yu Been Lee

Jan Michael Timmerman

Bryan Alexander Feddern

Alethea Scattergood Bair-sutherland

Zoltan Foley-fisher

Anamaria Crisan

Nathan Robert Mannheimer

Nicholas Adam Hritsko

Robert Howard Brill, Jr

Enrique J Dominguez

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 plurality of interrelated block objects are obtained. Each block object having a respective specification that includes (i) a layout type; (ii) a mark type; (iii) one or more visual encodings; and (iv) one or more data fields of a data source. A respective data field of the one or more data fields is associated with a respective visual encoding of the one or more visual encodings. A respective query generated for each block object of the plurality of block objects is executed to retrieve a respective set of tuples from the data source. Each tuple comprising data values for the respective one or more data fields of the block object. A data visualization is generated in accordance with the respective specifications of the interrelated block objects. Each tuple in each of the respective set of tuples is represented as a visual mark in the data visualization.

Data visualization analytical canvas with functionally independent visual containers

At a computer system a graphical user interface is displayed on a display. The graphical user interface includes (a) a schema region displaying data field icons, each data field icon representing a respective data field from a user-selected data source, and (b) a canvas region. In response to receiving user input selecting a data field icon from the schema region and placing it on the canvas region, a block card is displayed on the canvas region. The block card includes user interface affordances to designate (i) a layout type that specifies a row-based arrangement, a column-based arrangement, or an inline arrangement, (ii) a mark type that specifies a shape for visual data marks, and (iii) one or more visual encodings. A data visualization for the data source is generated and displayed according to the layout type, the mark type, and the visual encodings specified on the block card.

Embodiments are directed to managing visualizations of data using a network computer. A modeling engine may provide a data model that includes a plurality of data objects and a display model that includes a plurality of display objects based on the plurality of data objects. Parameter action objects may be associated with display objects in the display model. In response to an activation of the parameter action objects, values associated with display objects may be assigned to the parameter associated with a parameter action object and actions associated with the parameter may be executed to modify the display model.

Dynamic visualization and data analytics based on parameter actions

Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Contact creation and utilization

At a computer system a number of interrelated block object specifications are generated according to user placement of data field icons on a canvas region. Each block object specification includes a layout type, a mark type, and one or more visual encodings. For each block object specification, a respective query is generated according to the user-selected data field icons that specify the visual encodings for the respective block object specification. Each query is executed to retrieve a respective set of tuples from the data source. Each tuple comprises data values for data fields corresponding to the user-selected data field icons. A data visualization is generated in accordance with the layout type, the mark type, and the visual encodings specified in each of the block object specifications, wherein each tuple in each of the respective set of tuples is represented as a visual mark in the data visualization.

Generating data visualizations with displayed visual data marks representing aggregated data at multiple levels of detail

At a computer system a graphical user interface is displayed that includes a schema region displaying data field icons, each data field icon representing a respective data field, and a canvas region including block cards. Each block card specifies a respective layout type that is one of: a row-based arrangement, a column-based arrangement, or an inline arrangement. Each block card is generated in response to user placement of one or more respective data field icons onto the canvas region. For each block card, a respective database query is generated and executed to retrieve tuples of data for data fields associated with the respective block card. For each retrieved tuple, a respective two-dimensional grid position, including a respective row index and a respective column index, is computed. A data visualization is generated and displayed. Each retrieved tuple is represented as a visual mark displayed at its respective computed grid position.

Generating data visualizations with visual data marks having individually calculated grid positions

Automatic generation of a document template based on recognized composition element patterns in documents associated with a user is provided. Composition elements used in documents are typically unique to a particular user or to a group of users. An automated template generation system detects composition element patterns in documents associated with the user, and generates and provides one or more useful and relevant templates comprising composition elements consistent with subsets of composition elements used in previously created documents. Generating a document template based on composition element patterns in documents associated with the user improves the user experience, reduces the use of bandwidth, memory, and processing power to reuse composition elements between documents. Additionally, providing user-relevant templates helps to ensure consistency across documents created by the user.

Automatic template generation based on previous documents

Growing community of inventors

Redmond, WA, United States of America

Allison Anne Whilden