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RStudio is without a doubt the best R IDE!
What do you like best about the product?
I use RStudio every day. It's always being innovated to improve workflows.
What do you dislike about the product?
Not much, honestly. I am not sure what more I need out of it.
What problems is the product solving and how is that benefiting you?
Any data analysis can be completed with R in RStudio faster, easier, and more accurately than in SQL, tableau or Excel.
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My favorite IDE for R
What do you like best about the product?
I like the fluid feel of Rstudio. It makes writing and debugging code a breeze. I can have multiple tabs of code open, track the objects loaded in my environment, view console output, and see files in my working directly all in one window... and it doesn’t feel cluttered.
What do you dislike about the product?
My R studio sessions occasionally crash, where I have to reload my code and data. Usually this is when I have gigabytes worth of data loaded
What problems is the product solving and how is that benefiting you?
I build predictive models and write general scripts to manipulate data in R Studio. I save hours (roughly 10% of development time ) by using Rstudio rather than a less capable IDE. But more importantly, RStudio saves me lots of frustration since it is so easy to use
An easy-to-use and comprehensive IDE with tons of functionality
What do you like best about the product?
The ability to load data into the workspace interactively and being able to view the data instantaneously, without having to export it first. This is a brilliant feature that more IDEs should include. I also enjoy being able to snippets of code at a time, not the entire file.
What do you dislike about the product?
I wish it had a built-in terminal along with the R environment, like with PyCharm. This way one can run 2 codes at once, or be running one code while playing around with another at the same time.
What problems is the product solving and how is that benefiting you?
Everything from principal component analysis for hugely multivariate databases, to data visualization (e.g. plotting temperature gradient time series' over the entire US), to simple data analysis and file I/O.
Recommendations to others considering the product:
The data visualization capabilities are good, but if you plan to use RStudio solely for this purpose, exporting plots can get a little tedious and viewing the plots interactively can be error-prone, in my experience. Python is more powerful for visualization but less convenient.
Free, but open source (so beware)
What do you like best about the product?
I like that RStudio (a user interface for R) is free & allows for the ability to download & install packages in the console itself. You can even connect to Google Visualization Charts, which open up more possibilities with data visualization.
What do you dislike about the product?
I find that it isn't 100% user friendly - I can never remember where to save exactly what I would like (my R script in the editor or the entire disc image), & to this day, I still forget how to set my working directory permanently. I also dislike that due to being open source, every package is different in coding (even if written by the same source). This makes similar functions tricky to do vs in SAS where you just change which proc function, etc you are using. I find that it can be a bit clunky, but overall, still decent for being free & open source.
What problems is the product solving and how is that benefiting you?
It's great to have a free option as a resource for working with large datasets. SAS can be pricey, but since R & RStudio are free, it is a great substitute. It allows to anyone with any software budget access their data & be able to conduct many different levels of analysis. I don't personally utilize RStudio every day, as I am more primarily a SQL & SAS user, but it is very handy to have RStudio around for when I need it.
Recommendations to others considering the product:
Make sure to really research packages to ensure writing code correctly as they can vary so much!
Light programing to complete large tasks.
What do you like best about the product?
I like the user interface, where I can have multiple windows open showing the plots I am making while still being able to manipulate the code.
What do you dislike about the product?
There isn't much to dislike, This is just a program that requires so studying to really get tasks done.
What problems is the product solving and how is that benefiting you?
I am making box plots for the data in my analysis much quicker.
Recommendations to others considering the product:
There is a learning curve, but there is a lot of content on the internet that can help in finding different uses.
Great IDE for both beginner and advanced R users
What do you like best about the product?
It's very easy to install and get it going if you have past experience with programming. Built in functionalities to keep track of variables and get quick information on R functions without having to leave RStudio is a big plus. Easy access to charts/plots also a plus.
What do you dislike about the product?
It can be a little daunting for someone with no prior programming experience.
What problems is the product solving and how is that benefiting you?
Any problem that involves cleaning and manipulating large sets of data, and also machine learning algorithms. R has many robust functions to deal with data and RStudio makes it easier to use R.
Great Platform for R programming
What do you like best about the product?
R studio has got the best GUI where we can easily write the codes for our programs.It has many packages which makes it easy for us to code.And it is an open source platform.
What do you dislike about the product?
There is nothing much i dislike about it.But sometimes if we perform any complex calculations it takes time.
What problems is the product solving and how is that benefiting you?
Rstudio helps me in analysing and visualising the data .I use it in my college projects.
Recommendations to others considering the product:
It is useful for big data and other computations.
R is the best statistical software
What do you like best about the product?
Rstudio is very user friendly way more than R. It shows all the variables in a side panel so u can see exactly what are stored in the memory and that makes bug fixing easy
What do you dislike about the product?
Not much. Except it is slow handling big data.
What problems is the product solving and how is that benefiting you?
Financial data forecasting
Predictive model building
Predictive model building
Easy learning curve, all things considered
What do you like best about the product?
I'm a visual thinker and being able to easily see the structure of the data in a preview panel is great for checking that functions have run correctly. There is also a built in integration with version control so that you don't lose work as often. The reliability has improved in recent years, with fewer crashes.
What do you dislike about the product?
Could have better integration with smarter IDEs.
What problems is the product solving and how is that benefiting you?
Free data analytics language that pretty much anyone can use; if you have used MATLAB this is easy to pick up.
Recommendations to others considering the product:
It really depends on what your use case is. It won't work for very large datasets that require matrix inversion, for example. It could also be nice if it had a notebook type workflow like JuPyter (which could be used with pandas).
Better than R GUI
What do you like best about the product?
Easy installation of libraries through a wizard. Clean UI and theme options are what separates it from R GUI. Offers excellent set of libraries for data visualization and statistics.
What do you dislike about the product?
Global environment variables sometimes do not clean entirely. Sometimes, the saved scripts fail to load. The workaround for this issue is to reload them with encoding. The encoder to be used is UTF- 8
What problems is the product solving and how is that benefiting you?
I am trying to do prescriptive analytics and run regression on my data. The commands and methods required for analysis are pretty straightforward and do not require much to be remembered.
Recommendations to others considering the product:
Always keep the software to up to date to stay updated to new libraries.
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