BackgroundCheck.run
Search For

Teresa Rose Roberts, 38San Tan Valley, AZ

Known as:
Teresa R Roberts Teresa Rose Derosier Teresa Rose Eddy Teresa R Eddy Teresa R Derosier Teres A Roberts Teresa Reddy
Related to:
Michael Rosier 37

Teresa Roberts Phones & Addresses

San Tan Valley, AZ   

Gold Canyon, AZ   

Mesa, AZ   

Gilbert, AZ   

Puyallup, WA   

Queen Creek, AZ   

Get Report
Control this profile

Mentions for Teresa Rose Roberts

Career records & work history

Real Estate Brokers

Teresa Roberts Photo 1

Teresa Roberts, Orem North Orem - Agent

Work:
801-3627705 (Phone)

Medicine Doctors

Teresa L. Roberts

Specialties:
Anesthesiology
Work:
Childrens National Medical Center Anesthesia
111 Michigan Ave NW STE 2601, Washington, DC 20010
202-4762025 (phone) 202-4765999 (fax)
Education:
Medical School
George Washington University School of Medicine and Health Science
Graduated: 2003
Conditions:
Bronchial Asthma, Epilepsy, Peripheral Nerve Disorders, Rheumatoid Arthritis, Urinary Tract Infection (UT)
Languages:
English, French, Spanish
Description:
Dr. Roberts graduated from the George Washington University School of Medicine and Health Science in 2003. She works in Washington, DC and specializes in Anesthesiology. Dr. Roberts is affiliated with Childrens National Health System.

License Records

Teresa D Roberts

Licenses:
License #: 29999 - Expired
Category: Cosmetology
Issued Date: Nov 1, 1979
Effective Date: Mar 31, 1989
Type: Cosmetologist

Teresa E Roberts

Licenses:
License #: 6399 - Expired
Category: Nursing Support
Issued Date: Jun 20, 1989
Effective Date: May 28, 1998
Type: Nurse Aide

Teresa Jean Roberts

Licenses:
License #: 43172 - Active
Category: Nursing
Issued Date: Aug 14, 1987
Effective Date: Aug 14, 1987
Expiration Date: Oct 31, 2018
Type: Registered Nurse

Publications & IP owners

Us Patents

Generating Data Visualizations According To An Object Model Of Selected Data Sources

US Patent:
2020012, Apr 23, 2020
Filed:
Dec 30, 2018
Appl. No.:
16/236612
Inventors:
- Seattle WA, US
Roger Hau - Seattle WA, US
Daniel Cory - Seattle WA, US
Jiyoung Oh - San Carlos CA, US
Teresa Roberts - Palo Alto CA, US
International Classification:
G06F 3/0484
G06F 16/28
G06F 16/248
G06F 16/22
G06F 16/2455
Abstract:
The method receives a visual specification, which specifies a data source, visual variables, and data fields from the data source. Each visual variable is associated with data fields and each data field is a dimension or a measure. The method forms dimension tuples comprising distinct ordered combinations of data values for the dimensions D. For each measure, the method: forms a set S of the dimensions D plus dimensions from a primary key corresponding to the measure; retrieves intermediate tuples containing the fields in S and the measure, without aggregation; and aggregates the intermediate tuples according to the dimensions D. For each dimension tuple, the method forms an extended tuple by appending the aggregated data values corresponding to each measure field. The method then builds and displays a data visualization according to the extended tuples and the visual variables to which the data fields are associated.

Generating Data Visualizations According To An Object Model Of Selected Data Sources

US Patent:
2020012, Apr 23, 2020
Filed:
Dec 30, 2018
Appl. No.:
16/236611
Inventors:
- Seattle WA, US
Roger Hau - Seattle WA, US
Daniel Cory - Seattle WA, US
Jiyoung Oh - San Carlos CA, US
Teresa Roberts - Palo Alto CA, US
International Classification:
G06F 16/248
G06F 16/26
G06F 16/242
Abstract:
The method receives a visual specification, which specifies a data source, visual variables, and data fields from the data source. Each visual variable is associated with data fields and each data field is either a dimension or a measure. From an object model of the data source, the method identifies a minimal subtree that includes all of the dimension data fields and constructs a query from the minimal subtree. The method executes the query against the data source to retrieve a set of tuples, each tuple comprising a unique ordered combination of data values for the dimension data fields. For each tuple, the method forms an extended tuple by appending aggregated data values corresponding to each measure data field. The method then builds and displays a data visualization according to the data fields in the extended tuples and according to the visual variables to which the data fields are associated.

Possible Relatives

Cynthia B Roberts  David W Roberts  Davon Roberts  Dawn Roberts  Dawna Roberts  Dean E Roberts  Dacia S Roberts  Teresa Johnson  Teresa A Stanberry  Teresa G Stanbro 

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.