Posit is far better than Jupyter Notebook and Minitab in this regard that Posit is actually capable of doing all kind of analytical stuffs like data pre-processing, wrangling, validation and visualization. On the other hand, Jupyter Notebook can be used for python programming …
We have considered other editors for R, but no other editor is as feature rich as RStudio. Since RStudio makes an open-source version of their products available, we were able to increase adoption within the organization with zero risk and zero cost and buy into the commercial …
Posit is way way way more reliable than Excel for anything more involved than a quick spreadsheet. Faster speeds, greater charting abilities, flexible functionality and more efficient memory usage. Python is still my go-to for anything that needs integration, but Posit beats …
I've used ArcGIS and ESRI for similar analysis and while both have their advantages, RStudio is much better suited for running advanced statistics and processing large volumes of data. It can also produce quality maps, however, for visually attractive maps and graphs, ArcGIS is …
RStudio is better than python for visualizations but it is less common to use it in many organizations. Excel and PowerBI are better for visualization but, they can only be used for simple models. I would choose R Studio for statistical analysis, ML, or DL because the language …
RStudio works really well compared to competitors such as Jupyter Notebook where there is no environment to visualize variables. RStudio on the other hand is much easier to use and provides the right set of environments for users.
inter-departmental collaboration - my first choice would be TIBCO Spotfire natural language processing and knowledge graphs - my first choice would be Python information security & visualizations (including d3.js libraries) - my first choice is RStudio
RStudio is more than a home for a dashboard. It is a content management system for data science. It hosts models, APIs, runs scripts, AND hosts dashboards.
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RStudio stacks up pretty well against its competition. For me, it is really up to personal preference and what you are used to when deciding between the competitions. I like that Python packages have the most external resources, so it's easier to troubleshoot. But RStudio does …
The most similar products to RStudio that I have used include IBM SPSS and Tableau Prep. In my experience, SPSS is more intuitive and has less of a learning curve; I used it extensively in my undergraduate career in Statistics and Cognitive Science research. While RStudio has …
RStudio stacks up pretty well against Anaconda. However, Anaconda might be the first choice for someone who likes Python for their analytics and machine learning needs. In the past, I have found it seamless to connect Jupyter Notebook (in Anaconda suite) to integrate with other …
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful …
There are loads of people in the BI (Business Intelligence) space, of course... but I wouldn't touch any of them because none of them offer anything like the R and Python support that RStudio does. RStudio publishes open-source, they're a public benefit corporation, and they …
I prefer SPSS to RStudio, but RStudio is very cheap in comparison to the cost of SPSS. IBM's SPSS does a better job holding the hands of users, but it does come at a very expensive license cost. RStudio is a little bit more difficult to use but is cheap.
Personally, I would prefer SPSS over RStudio and SAS, but the cost for licenses for SPSS deters me from continuing to go with IBM's statistics software. RStudio has the advantage in that it is low cost and there are a lot of available resources on YouTube available for users …
Using [RStudio] requires greater knowledge of statistics and code than SPSS, which has a more simple "point and click" interface. [RStudio] is similar to SAS in its user interface and [requires] the user to write their own queries. [RStudio]'s main advantage is an open-source …
I tried Stata because it's a standard tool for economists but it doesn't have the flexibility and breadth of R and RStudio. I didn't try other IDEs for R.
RStudio is free and so that is the main reason that I use it. I like that it is open source and so there are lots of support on the internet. I tried SAS JMP and Python in a text editor but RStudio was better than either of those options for cost and code flexibility …
RStudio is as good as any software available in the market and is better off than some as it is free. Since it is open source it is improving day by day. I would prefer RStudio over any other tool any day. I would recommend every data analyst to give RStudio a try.
I understand the Jupyter notebook is supposed to be good like RStudio, and I've been exposed to it a little bit. But my experience using it has been very little.