Posit Reviews & Product Details - Page 2

R studio is free open-source software and easy to install. It consists of very big libraries that are very useful for data analysis purposes. It provides many features such as we can save our variables in the workspace for a long time, importing variables, can execute particular lines of code without executing the whole program. It requires fewer resources and can run in old and slow hardware also.

It runs big data files in very short time. Review collected by and hosted on G2.com.

It is just a user interface it can't work without R software so we need to install R separately, it would be so good if it comes with R also. R studio interface is not very simple for beginners it requires practice. Sometimes it crashes due to not proper execution between R and R studio. It takes time to open. Review collected by and hosted on G2.com.

R Studio is a beneficial software for our online business presence, coding of our online and also the coding of our website. RStudio makes coding easier than most. Review collected by and hosted on G2.com.

I have not found many things that I disliked about RStudio Desktop or the use of the program. When I used it seemed the program was very innovative and easy to use. Review collected by and hosted on G2.com.

I like the way that I can step line by line through my code so I can see my data at every step along the way. Review collected by and hosted on G2.com.

The language took some getting used to but once I got used to it, I have loved it. Review collected by and hosted on G2.com.

The UI is relatively intuitive. I appreciate that I can run the software and see its operation by creating many windows. Additionally, autosuggest prevents me from using Google to research syntax. It is comparable to Eclipse software, thus it meets all requirements. Review collected by and hosted on G2.com.

R Studio doesn't have anything I don't like about it. Review collected by and hosted on G2.com.

It is open source and has a lot of community support. R language is very powerful and is specialized for data analysis and big data. That makes it a very important tool in data science feild. Review collected by and hosted on G2.com.

Setting up environments and working directories every time is very tiresome. Also, the syntax in R is very different from other programming languages and does not provide functionalities outside of mathematics and statistics. Review collected by and hosted on G2.com.

RStudio is free and allows the user to perform powerful data analysis, visualizations and machine learning on their personal computer. Review collected by and hosted on G2.com.

The R language, and by extension, RStudio, can have a steep learning curve for people not familiar with object-oriented coding languages. Review collected by and hosted on G2.com.

The Easy to navigate User Interface of R Studio, It's easy to install and use it. Its best for Data Scientists as it gives you all the features a data scientist or statistician may require to do using R. Review collected by and hosted on G2.com.

User Interface can be improved a lot.

R Studio takes a time to load and becomes non-responding sometimes. Memory management can be improved here.

The learning guide can be improved to include tasks that data scientists do frequently to reduce the learning curve. Review collected by and hosted on G2.com.

It's very user-friendly. As a beginner, it is very easy to learn and it has many different windows showing package, path set, data import simultaneously which make it easier to understand the overall picture at once. Review collected by and hosted on G2.com.

The major problem is that Rstudio doesn't work until we install R. and sometimes it may cause problems when R console and R studio clash due the different versions of any R library. Review collected by and hosted on G2.com.

Rstudio provides for a large number of customizing statistical analyses. Familiarity with other coding languages makes cross-platform coding easy and accessible. Review collected by and hosted on G2.com.

Open source requires a ton of extra packages to be loaded and additional knowledge to be acquired. In the beginning, I found it really hard and frustrating to learn new tools. Review collected by and hosted on G2.com.

I like how R studio gives you the flexibility to design graphs and charts in exactly the way that you want just by inputting the correct code. This, for example, is not the case with programs such as Excel, which only have a limited number of options for data visualization. Review collected by and hosted on G2.com.

I do not like how R studio can be quite complicated compared to other statistics programs, such as Excel. There may be certain analyses or charts that are a simple click in Excel, but require several lines of code to be replicated in R studio. Review collected by and hosted on G2.com.