R | Knowledge Repository

Interacting with Web Data using R: Web APIs and Web Scraping (including RSelenium)

Presented April 22, 2019.

Added On: April 25, 2019

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Opioid Overdose Surveillance and Classification with R

Presented November 16, 2018.

Added On: November 30, 2018

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Interactive Reporting & Dashboards in R Markdown - Intermediate & Advanced

Presented October 23, 2018.

Presenter

Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise reporting and Business Intelligence solutions. He has posted multiple articles and blog posts sharing analytics insights and server infrastructure for Data Science. He lives with his family near Biloxi, MS.

Added On: October 30, 2018

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New Features in R Markdown & HTML Widgets - Intermediate & Advanced

Presented September 25, 2018.

Presenter

Added On: September 28, 2018

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An Introduction to RStudio & R Markdown webinar - Beginner & Intermediate

Presented August 21, 2018 to the R Group for Biosurveillance.

Presenters

Added On: August 28, 2018

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Text mining using tidy data principles

Presented April 25, 2018.

Added On: April 26, 2018

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Using databases and dplyr to work with data in R

Presenter April 30, 2018.

Added On: April 30, 2018

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Analyze US Census Data in R with tidycensus

Presented February 19, 2018.

Added On: February 19, 2018

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Beginner R methods for syndromic surveillance data validation

There are currently 123 healthcare facilities sending data to the Washington (WA) State syndromic surveillance program. Of these facilities, 30 are sending to the National Syndromic Surveillance Program's (NSSP) production environment. The remainder are undergoing validation or in queue for validation. Given the large number of WA healthcare facilities awaiting validation, staff within the state syndromic surveillance program developed methods in R to reduce the amount of time required to validate data from an individual facility.

Objective:

Added On: January 25, 2018

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Leveraging the NSSP R Studio Server to Automate QA Monitoring and Reporting

In 2016, the CDC funded 12 states, under the Enhanced State Opioid Overdose Surveillance (ESOOS) program, to utilize SyS to increase timeliness of state data on drug overdose events. In order to operationalize the objectives of the grant, there was a need to assess and monitor the quality of Kentuckyâs SyS data, with limited resources. We leveraged the NSSPâs R Studio Server to automate quality assurance (QA) monitoring and reporting to meet these objectives.