Leland Stanford Junior University

Google Inc.

Verily Life Sciences LLC

Tableau Software, Inc.

Diane L Tang

Patrick M Hanrahan

Chris Stolte

Daryl Pregibon

Daniel Wright

Marc Berndl

Diane Lambert

Ashish Agarwal

Michael M Meyer

Ilia Mirkin

Dan Liu

James Angus Morrison

Susan Shannon

Eric Bauer Arbanovella

Gregory Joseph Badros

Katherine Irene Chou

Adam Isaac Juda

Nicholas Charles Fox

Karthik Gopalratnam

Gagan Aggarwal

Josh T Wills

Amir Najmi

Jonathan G Alferness

Avichal Garg

Humphrey H Nash, Jr

Derek Leslie-Cook

Ashish Sanil

Nicholas C Fox

Jr Bavor Clayton W

An example method of displaying a data visualization includes displaying a graphical user interface that includes three distinct regions, and receiving user actions to associate two different fields with two different shelves. The method also includes generating, in accordance with the received user actions, data marks to be displayed in a data visualization, each data mark corresponding to a respective retrieved tuple of data from a multidimensional database, where (i) each data mark has an x-position defined according to data for a first field in the respective tuple and (ii) each data mark has a y-position defined according to data for a second field in the respective tuple. The method also includes displaying a data visualization that includes the generated data marks.

Systems and methods of generating data marks in data visualizations

An example method of displaying a data visualization includes displaying a plurality of selectable fields and receiving user selections of two different fields from the plurality of selectable fields. The method also includes generating, in accordance with the received user selections, data marks to be displayed in a data visualization, each data mark corresponding to a respective retrieved tuple of data from a multidimensional database, where (i) each data mark has an x-position defined according to data for a first field in the respective tuple and (ii) each data mark has a y-position defined according to data for a second field in the respective tuple. The method also includes displaying the data visualization that includes the generated data marks.

A system of content/query feature based data structure retrieval of predicted values is provided. The system can create a data structure having a plurality of rows corresponding to individual content/query features and a plurality of columns corresponding to individual predicted values. The processors can obtain a set of session features associated with a selection by a computing device in response to a query, and a set of content/query features associated with the selection of the content item. The processors can retrieve, from the data structure, a set of predicted values for each of the set of content/query features. The processors can generate, for each of the set of content/query features, a set of aggregate predicted values for each of the set of content/query features, and can include the set of aggregate predicted values in the data structure.

Query feature based data structure retrieval of predicted values

An exemplary method of displaying a data visualization includes retrieving a dataset that includes a plurality of fields and displaying a graphical user interface with a plurality of shelves. The method further includes receiving user actions to: (i) associate a first field with a first shelf, and (ii) associate a second field with a second shelf; displaying, in accordance with the received user actions, a data visualization, where each data mark has a first size defined according to a default position of a displayed slidable affordance; and receiving an additional user action that moves the slidable affordance from the default position to a user-defined position. In response to receiving the additional user action, the method further includes updating the data visualization, where each data mark included in the updated data visualization has a second size, different from the first size, defined according to the user-defined position of the slidable affordance.

Adjusting padding of graphical charts representing data from multidimensional databases

A method is performed at a computer. The computer retrieves a dataset having a plurality of fields, including a first field and a second field. The computer displays a graphical user interface, including a first region displaying the plurality of fields from the dataset, a second region having a plurality of shelves determined according to a user-selected data visualization type, and a third region for displaying one or more data visualizations. The computer receives user actions to drop the first field on a first shelf and to drop the second field on a second shelf. The first and second shelves define positional attributes of data marks. The computer displays a data visualization in the third region. Each data mark has a position in the data visualization determined according to the first shelf, a data value for the first field, the second shelf, and a data value for the second field.

Data visualization user interface for multidimensional databases

An exemplary method of displaying a data visualization includes displaying a graphical user interface that includes three distinct regions, and receiving user actions to associate three different fields with three different shelves, including a shelf that defines colors of data marks. The method also includes generating, in accordance with the received user actions, data marks to be displayed in a data visualization, each data mark corresponding to a respective retrieved tuple of data from a multidimensional database, where (i) each data mark has an x-position defined according to data for a first field in the respective tuple, (ii) each data mark has a y-position defined according to data for a second field in the respective tuple, and (iii) each data mark has a color assigned according to data for a third field in the respective tuple. The method also includes displaying a data visualization that includes the generated data marks.

Systems and methods of generating color saturated data marks in data visualizations

A method of displaying data visualizations includes retrieving a dataset from a multidimensional database, where the dataset includes a plurality of fields, including first and second fields, and the first field is a data hierarchy that includes multiple subfields. The method further includes displaying a GUI with a first region displaying the plurality of fields (with the first field in a collapsed state), a second region with a plurality of shelves, and a third region. In response to receiving a user action to display the first field in an expanded state, the method displays the first field and the multiple subfields in a hierarchical structure. The method receives additional user actions to: (i) associate a first subfield of the plurality with a first shelf, and (ii) associate the second field with a second shelf, and then displays, in accordance with the user actions, a data visualization in the third region.

In one aspect, an example method involves selecting, by a computing device, a message to be output to a user; determining a classification group to which the user belongs; using the determined classification group to which the user belongs as a basis to select a device from among a plurality of devices associated with the user; and transmitting, by the computing device, an instruction via a communication network, wherein the instruction is configured to cause the selected device to output the selected message.

Classification-based selection of a device for use in outputting a message

An exemplary method of generating a chart matrix comprises outputting a user interface (UI) comprising a row header UI section, a column header UI section, and a grid header UI section in a headers UI section, outputting a chart matrix defined by associating a first data dimension corresponding to a data dimension placed in a first position in the row header with a row edge of the chart matrix, and a second data dimension corresponding to a data dimension placed in a first position in the column header with a column edge of the chart matrix, outputting two or more charts nested within each of two or more cells of the chart matrix, providing a user option to perform a drill operation on a selected member displayed in the chart matrix, and outputting, in response to the user input to perform the drill operation, a modified chart matrix.

Systems and methods of generating a chart matrix in a data visualization region

An exemplary method of generating a plurality of data visualizations comprises displaying a graphical user interface that includes a schema information region and a data visualization region. The method further includes receiving user actions to associate first, second, and third fields included in the schema information region with a plurality of shelves of the data visualization region. The method further includes generating a plurality of data visualizations in the data visualization region in accordance with the received user actions, each data visualization includes a plurality of data marks corresponding to a respective retrieved tuple of data having the first, second, and third fields. Moreover, each of the data marks has an x-position and y-position defined according to data for the first and second fields, respectively. In addition, each of the data visualizations corresponds to a respective unique value of the third field, and is displayed in a respective pane.

Systems and methods of generating a plurality of data visualizations in a data visualization region

A method of generating a data visualization is performed at a computer having a display, one or more processors, and memory. The memory stores one or more programs for execution by the one or more processors. The process receives user specification of a plurality of characteristics of a data visualization. The data visualization is based on data from a multidimensional database. The characteristics specify at least x-position and y-position of data marks corresponding to tuples of data retrieved from the database. The process generates a data visualization according to the specified plurality of characteristics. The data visualization has an x-axis defined based on data for one or more first fields from the database that specify x-position of the data marks and the data visualization has a y-axis defined based on data for one or more second fields from the database that specify y-position of the data marks.

Computer systems and methods for the query and visualization multidimensional databases

A computer displays a graphical user interface on its display. The graphical user interface includes a schema information region and a data visualization region. The schema information region includes a plurality of fields of a multi-dimensional database that includes at least one data hierarchy. The data visualization region includes a columns shelf and a rows shelf. The computer detects user actions to associate one or more first fields with the columns shelf and to associate one or more second fields with the rows shelf. The computer generates a visual table in the data visualization region in accordance with the user actions. The visual table includes one or more panes. Each pane has an x-axis defined based on data for the one or more first fields, and each pane has a y-axis defined based on data for the one or more second fields.

Computer systems and methods for the query and visualization of multidimensional databases

User queries are received, with each query requesting a service from a server. Overlapping experiments are performed on at least a portion of the queries, with each experiment modifying one or more parameters associated with the queries or parameters associated with processing of the queries, and with the experiments organized into layers. Two or more experiments in different layers are allowed to be performed on the same query, and for any given layer, at most one experiment is allowed to be performed on the same query.

Overlapping experiments

A computer displays a graphical user interface on its display. The graphical user interface includes a schema information region and a data visualization region. The schema information region includes multiple operand names, each operand corresponding to one or more fields of a multi-dimensional database that includes at least one data hierarchy. The data visualization region includes a columns shelf and a rows shelf. The computer detects user actions to associate one or more first operands with the columns shelf and to associate one or more second operands with the rows shelf. The computer generates a visual table in the data visualization region in accordance with the user actions. The visual table includes one or more panes. Each pane has an x-axis defined based on data for the one or more first operands, and each pane has a y-axis defined based on data for the one or more second operands.

Growing community of inventors

Palo Alto, CA, United States of America

Diane L Tang