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:
Jun. 14, 2022

Filed:

Apr. 25, 2017
Applicant:

Tableau Software Inc., Seattle, WA (US);

Inventors:

Robert Morton, Seattle, WA (US);

Ross Bunker, Seattle, WA (US);

Marianne Shaw, Seattle, WA (US);

Pawel Terlecki, Seattle, WA (US);

Assignee:

TABLEAU SOFTWARE, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/248 (2019.01); G06F 16/28 (2019.01); G06F 16/9535 (2019.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
G06F 16/248 (2019.01); G06F 16/24556 (2019.01); G06F 16/283 (2019.01); G06F 16/284 (2019.01); G06F 16/9535 (2019.01);
Abstract

A method dynamically combines multiple data sources. A user selects a first group of fields that specify primary aggregation for a data visualization. When a field in the first group is not a data field in one of the data sources, the process creates a second group of fields that specifies an intermediate aggregation for joining data sets that is more granular than the primary aggregation. For each data source, the process aggregates measure fields according to the second group to form a respective intermediate data set. The process forms a single combined data set from the intermediate data sets, including the fields specified in the first group, and aggregates each measure field in the combined data set using the primary aggregation to form a final data set based on the fields from the first group. The process then displays the data visualization using the final data set.


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