Leland Stanford Junior University

Tableau Software, Inc.

Nvidia Corporation

Other

Microsoft Technology Licensing, LLC

Patrick M Hanrahan

Chris Stolte

Diane L Tang

Mark A Horowitz

Yi-Ren Ng

Marc Stewart Levoy

Jock Douglas Mackinlay

Christopher Richard Stolte

Edward Colton Greene

Andrew C Beers

Marc A Levoy

Matthew W Eldridge

Jonathan E Taylor

Terry Allen Winograd

Craig E Kolb

Donald P Mitchell

Bradley E Johanson

Daniel R Baum

Armando Fox

Matthew M Pharr

Ren Ng

A computer device receives, via a graphical user interface, a first user input specifying a first data field of the dataset. The first data field has a first data type. In response to receiving the first user input, the device selects a first visualization type of a data visualization, for visualizing a portion of the dataset based on the first data type, and displays the data visualization. The device receives, via the graphical user interface, a second user input specifying a second data field of the dataset. The second data field is distinct from the first data field and has a second data type. In response to receiving the second user input, the device selects a second visualization type based at least in part on the first data type and the second data type, and displays an updated data visualization, having the second visualization type, in the graphical user interface.

Building a view of a dataset incrementally according to data types of user-selected data fields

A process builds a view of a dataset. The process displays a graphical user interface window, including: a schema display region; a visualization region; and a shelf region that includes multiple shelves. The process detects user input to place a data field icon from the schema display region into the visualization region. Upon ceasing to detect the user input, the process associates the data field icon with a first shelf according to its data type and data types corresponding to other data field icons, if any, previously associated with the shelves, and then places the first data field icon within the first shelf. The method further includes determining a view type based on the data field icon and the association of the data field icon with the first shelf, and generating a graphical representation in the visualization region in accordance with the determined view type.

Methods and systems for building a view of a dataset incrementally according to data types of user-selected data fields

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 process builds a view of a dataset. The process displays a graphical user interface, including: a fields region; a visualization region; and a shelf region that includes multiple shelves. The process detects user input that moves a data field icon from the fields region into the visualization region. Upon ceasing to detect the user input, the process associates the data field icon with a first shelf according to its characteristics and characteristics corresponding to other data field icons, if any, previously associated with the shelves. The method further includes: (i) determining one or more chart types for visualizing a portion of the dataset based, at least in part, on the data field icon and its characteristics, and (ii) generating a graphical representation of the portion of the dataset in the visualization region using a first chart type selected from the one or more determined chart types.

Methods and systems for building a view of a dataset incrementally according to characteristics of user-selected data fields

The implementations described herein include methods and systems for ranking data visualizations. A method is performed at a computing device having one or more processors and memory storing programs for execution by the processors. The method receives user selection of a set of data fields and identifies data visualizations that use each data field in the user-selected set. The method automatically forms modified sets of data fields that each differ from the user-selected set by at most two atomic operations, each selected from: removing or adding a data field; replacing a user-selected data field with a hierarchically narrower or broader data field; or adding, removing, or modifying a filter for a data field. The method identifies alternative data visualizations using each respective modified set, computes a score for each data visualization and alternative data visualization, and presents high scoring data visualizations and high scoring alternative data visualizations to the user.

Systems and methods for ranking data visualizations using different data fields

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

The implementations described herein include methods and systems for displaying graphical representations of datasets. A method is performed at a computer having one or more processors and memory storing programs for execution by the processors. The method receives a request from a user to display a graphical representation of a dataset. In response to the request, the method identifies a plurality of alternative graphical representations of the dataset. Each alternative graphical representation has a respective associated view type. The method ranks the plurality of alternative graphical representations in accordance with a rating system. The rating system is based on a set of criteria, which includes at least one user-specific criterion. The method selects for display a resulting graphical representation from among the plurality of alternative graphical representations based on the ranking.

Computer systems and methods for automatically viewing multidimensional databases

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.

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

Various approaches to imaging involve selecting directional and spatial resolution. According to an example embodiment, images are computed using an imaging arrangement to facilitate selective directional and spatial aspects of the detection and processing of light data. Light passed through a main lens is directed to photosensors via a plurality of microlenses. The separation between the microlenses and photosensors is set to facilitate directional and/or spatial resolution in recorded light data, and facilitating refocusing power and/or image resolution in images computed from the recorded light data. In one implementation, the separation is varied between zero and one focal length of the microlenses to respectively facilitate spatial and directional resolution (with increasing directional resolution, hence refocusing power, as the separation approaches one focal length).

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Portola Valley, CA, United States of America

Patrick M Hanrahan