The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 19, 2014

Filed:

Dec. 08, 2011
Applicants:

Hillel Maoz, Petah Tikva, IL;

Daniel Libicki, Jerusalem, IL;

Michael Fink, Jerusalem, IL;

Ronald Ho, Fremont, CA (US);

Dennis Julian Lee, New York, NY (US);

Yossi Matias, Tel-Aviv, IL;

Amit Weinstein, Tel-Aviv, IL;

Yoah Bar David, Kfar Hes, IL;

Itai Raz, Palo-Alto, CA (US);

Inventors:

Hillel Maoz, Petah Tikva, IL;

Daniel Libicki, Jerusalem, IL;

Michael Fink, Jerusalem, IL;

Ronald Ho, Fremont, CA (US);

Dennis Julian Lee, New York, NY (US);

Yossi Matias, Tel-Aviv, IL;

Amit Weinstein, Tel-Aviv, IL;

Yoah Bar David, Kfar Hes, IL;

Itai Raz, Palo-Alto, CA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/24 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/246 (2013.01);
Abstract

A computer-implemented system, method and computer readable medium to generate graphical visualizations corresponding to a data set populated in a web-based document, such as a spreadsheet. The spreadsheet is accessible in an interne or cloud-based system, and enables users to automatically create graphical visualizations or representations based on recommendations by a spreadsheet application. The graphical visualizations may be automatically ranked such that the system provides the recommendations to the user for display. Automatic ranking is accomplished, for example, by determining data types from identifying column type, differentiating column types, and extracting data sets having attributes corresponding to various graphical visualizations.


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