An Essential Tool in Your Data Science Toolkit
May 07, 2018

An Essential Tool in Your Data Science Toolkit

Eric Myers | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

RStudio is used in our organization for advanced statistical analysis and visualization of data. It also helps us to implement and use advanced forecasting and application modeling for our online and e-commerce data points. For the most part, RStudio is able to meet our needs. While there are other options and opportunities, the open-source community driven nature of the R Community and RStudio helps to greatly enhance the base capabilities available to the initial program.

Pros

  • Easy to Deploy
  • Inexpensive
  • Powerful analysis

Cons

  • Open-Source (Can lend itself to vulnerability)
  • Data Ownership Terms
  • Python quickly overtaking the R language as the data science programming language of choice
  • Faster and more custom data analysis and insights
  • Better visualization than provided by most default visualization platforms
  • Quick, functional democratization of data.
To get your feet wet in data science, you definitely should start with RStudio. It allows a low barrier to entry in terms of the learning and knowledge required to set it up and interact. As your analyses get larger, however, RStudio may not be your most efficient choice. It can quickly get bogged down when you begin breaching into extensive data sets that are larger (100000000+ rows of data) and will be dependent on the box you install it on (unless you can cloud-deploy and use Shiny). Be careful before you invest too heavily into this platform that you have truly considered the full costs.

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