Overall Satisfaction with RStudio
RStudio is being used by analysts and managers in both marketing and IT departments. In some cases we do ad-hoc analysis, in other cases, we try to streamline data process with R. The IT department comes in when we need more complex analysis and integration with Python. The marketing department uses for basic data analysis (exploratory, regression, and we are planning to use it for segmentation as well).
- 1: RStudio is a great tool for organizing your R code - coding, executing and seeing the results on the same page!
- 2: RStudio (and R in general) is great because it is an open source tool! So it receives new packages and updates constantly. It's also one of the most used analytics tools, so you are likely to find all of the models you need here!
- 3: Did I mention it is free? This is great if your IT department (or company) has budget constraints.
- 1: Coding background! Even though I think coding with R is much easier than any other tool (C++, Python, VBA...), you still need to know how to code to get an analysis done. Other tools (like Azure ML or JMP), you don't need a coding background.
- 2: User interface: There are some better user interfaces out there. RStudio is not bad, but it's not the greatest.
- 3: Saving files: It always confuses me when I need to save a file or a project. I never know when or how to save which.
- 1 - RStudio helped my organization to find opportunities in the business. Those opportunities gave us a strategic advantage with our customers.
- 2 - Since it's free, the ROI will always be positive! Unless you spend a lot of time building an analysis and end up not using it.
- 3 - Overall, RStudio helped my organization to be more analytics-driven! Not just data-driven, but finding the right insights inside the data!
- Microsoft Azure Machine Learning Workbench, JMP Statistical Discovery Software from SAS, MATLAB, Adobe Analytics, Domo, Microsoft Power BI, Tableau Desktop, Tableau Online and Tableau Server
Pros:
- Free
- Huge repository of models and library, constantly updated
- Used by most professionals
- Other tools (Azure ML, Tableau) try to embed R Code
- Easy to find answers to questions or problems online
- APIs available (connectivity with Twitter, for example)
Cons: You need to know how to code, at least a little bit.
- Free
- Huge repository of models and library, constantly updated
- Used by most professionals
- Other tools (Azure ML, Tableau) try to embed R Code
- Easy to find answers to questions or problems online
- APIs available (connectivity with Twitter, for example)
Cons: You need to know how to code, at least a little bit.