2020-08-27
Carl Howe
Data scientists frequently have computational needs that stretch far beyond their laptops. Data science leaders should embrace features of RStudio Server that give data scientists access to shared IT resources without breaking the bank
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2020-08-20
Mike Garcia, ProCogia
The renv package helps create reproducible project environments that are critical for data science teams to deliver real, lasting value.
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2020-08-17
Curtis Kephart and Lou Bajuk
From design philosophies to current development priorities, R with RStudio is a wonderful environment for anyone who seeks understanding through the analysis of data. Here's why.
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2020-08-05
Lou Bajuk
RStudio is proud to announce the general availability of RStudio Cloud, its cloud-based platform for doing, teaching, and learning data science. WIth RStudio Cloud, there's nothing to configure and no dedicated hardware or installation required. Individual users, instructors, and students only need a browser.
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2020-07-28
Carl Howe
In this post I present three "wild-caught" examples solicited from the R community of how they use interoperability between R, Python and other languages to solve real-world problems.
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2020-07-15
Lou Bajuk, Carl Howe
No single platform meets all the analytic needs of every organization. To avoid productivity-sapping complexity and underutilized infrastructure, encourage Interoperability so that your data scientists can access everything they need from their native tools.
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2020-07-09
Daniel Petzold
Data Science presents challenges in the iteration of new research, unique business requirements, multiple technologies, accountability of results, and finding lasting solutions. Learn how an Integrated Development Environment (IDE) built for Serious Data Science tackles these issues head-on.
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2020-07-07
Carl Howe
RStudio will be focusing on interoperability in this blog during the month of July, highlighting how data scientists are using other tools with R to perform their work.
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2020-06-30
Dean Wood, Mango Solutions
Data science today requires allowing employees to work from home. Mango Solutions believes that a centralized cloud-based platform and collaborative communication are key to making data science teams productive.
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2020-06-24
Lou Bajuk, Carl Howe
Delivering persistent value over the long haul from your data science team requires reusability, reproducibility, and up-to-date insights, built on a sustainable platform.
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