Isabella Velásquez

Isabella is an R enthusiast, first learning the programming language during her MSc in Analytics. Previously, Isabella conducted data analysis and research, developed infrastructure to support use of data, and created resources and trainings to engage technical and non-technical audiences. Her work on the RStudio Marketing team draws on these experiences to create content that supports and strengthens data science teams.


R Markdown Lesser-Known Tips & Tricks #1: Working in the RStudio IDE

November 22, 2021

In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This first post focuses on working with R Markdown in the RStudio IDE.


Announcing the RStudio Blog’s New Vision and Design

November 17, 2021

Welcome to! We are excited to announce updates to the RStudio blog and can’t wait to share what’s possible with great data science tools.


How the "Clusterbuster" Shiny App Helps Hundreds of Doctors and Epidemiologists Battle COVID-19 in the Netherlands

November 2, 2021

In this post, we explore the creation and evolution of the Clusterbuster, a Shiny app developed by the Dutch National Institute for Public Health and the Environment. Hundreds of doctors and epidemiologists use the Clusterbuster to gain insight into COVID-19 clusters in the Netherlands.


RStudio at R/Pharma 2021

October 27, 2021

Join our RStudio colleagues at R/Pharma 2021, where they are presenting on a variety of tools and topics that support open source in the pharmaceutical field.


Announcing the RStudio 2021 Communications Survey

October 27, 2021

We are announcing the RStudio 2021 Communications Survey! This survey will help us understand your interaction with RStudio communications so that we can provide you information in your desired formats and channels.


How Data Scientists and Security Teams Can Effectively Work Together

October 26, 2021

At a recent RStudio Enterprise Meetup, Gordon Shotwell from Socure shared advice on resolving common tensions between data science and security teams. Through continuous conversation, closed systems for data, and streamlined tools, organizations can set up the relationships and systems needed to be successful.


Embedding Shiny Apps in Tableau Dashboards Using shinytableau

October 21, 2021

This post introduces and walks through shinytableau, a package that allows you to create dashboard extensions that embed Shiny apps in Tableau. Users can take advantage of R's powerful visualization and reporting capabilities when working in Tableau dashboards.


Why Your Data Science Team Might Need a Shiny Deployment Engineer

October 14, 2021

We interviewed Vergil Weatherford from Guidehouse to learn why they are planning to hire a Senior Shiny Deployment Engineer. Weatherford believes data science teams can benefit from someone who can apply software development best practices to support the deployment of high-quality R and Python applications into production.


Teaching a Biomedical Data Science Course Using RStudio Cloud

October 6, 2021

When developing his Data Science for Medical Decision Making course, Professor Chirag Patel discovered that RStudio Cloud is a solution that supports his students through efficient onboarding and reproducible analysis.