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Statistical tool
What do you like best about the product?
Many tutorials, big community, free open source tool with a variety of packages!
What do you dislike about the product?
Sometimes it is slow and the visualization makes it not so user friendly..
What problems is the product solving and how is that benefiting you?
We use RStudio for data analysis because it is more powerful than excel and supports larger data sets..
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Rstudio for research
What do you like best about the product?
Works nice and fast, easy to understand.
What do you dislike about the product?
Some packages override other packages variables.
What problems is the product solving and how is that benefiting you?
Research
Rstudio
What do you like best about the product?
Easy to use interface and integration of console in the same window helps a lot.
What do you dislike about the product?
The directory setting isn't automatic and had to make changes in the universal variable.
What problems is the product solving and how is that benefiting you?
Developing projects related to data visualization, data preparation for Machine algorithms.
Recommendations to others considering the product:
If your sole aim is to apply data analytics and do any work related to the analysis of data, Rstudio is the way to go. It provides easy to use environment and ample of libraries are already available.
Powerful, but at a price
What do you like best about the product?
Fast, powerful resource for data wrangling and data visualization. Good libraries, decent support. Pretty easy to use at a basic level once you're used to it. Doesn't crash nearly as often as Excel.
What do you dislike about the product?
Learning curve is pretty steep for new users. Definitely targets a niche audience. The community is a little abrasive sometimes.
What problems is the product solving and how is that benefiting you?
Big data processing; very easy to subset data based on multiple criteria. Interfaces with other products pretty nicely, which makes for quicker analytics.
Statistical Language Tool
What do you like best about the product?
The community associated with the tool and language is very strong. Also the extensive work and updation of packages make it very easy to use and apply functionalities. Caret and dplyr are very versatile packages. If one learns to use ggplot 2 package, they can even create interactive dashboards like one from tableau.
What do you dislike about the product?
There is not much to dislike about the language but the constant and frequent updates in few packages makes one re-learn the concepts related to it again and again.
What problems is the product solving and how is that benefiting you?
RStudio was mostly used for data wrangling. This data cleaning part took the maximum part of processing the whole data. Once the concepts were learned it was easy to use and modify the data for further work on it. Statistical knowledge coupled with the knowledge of this tool can work wonders. One can build regression models and do predictive analysis. There are many applications towards improving and understanding the data for the further applications.
Recommendations to others considering the product:
It is difficult to learn, but there is a lot of material available online to woke through it. I learned through data camp, ISLR and participated in online kagggle competitions. It takes time but once crossed the threshold its a cake walk then on.
Flexibility with a learning curve
What do you like best about the product?
RStudio is massively capable and flexible, and there is a large online community of R users that are very helpful. Finally, the software is free.
What do you dislike about the product?
The only negatives, which really aren't a big deal, are that learning the coding language for R takes some time (like any other language), and that sometimes when you are dealing with large data sets and complicated models, the program can get bogged down and be slow. This last issue is really more of a computer issue, but the software contributes.
What problems is the product solving and how is that benefiting you?
We do all of our analyses and data wrangling in RStudio. In addition, RStudio has a multitude of options for data visualization and reporting/presenting data.
Open source, stable GUI for R with enterprise licensing as option
What do you like best about the product?
- Easy to navigate
- Fantastic to install/uninstall packages
- Great sense of customisation
- Stable with rare crash
- Fast in-memory engine
- Open source
- Free license with option to go pro
- Fantastic to install/uninstall packages
- Great sense of customisation
- Stable with rare crash
- Fast in-memory engine
- Open source
- Free license with option to go pro
What do you dislike about the product?
- Slow when sample size is high
- Needs a bit of redesign to get closer to something like Zeppelin or Jupyter. This IDE style is a bit of old school.
- It does not have cool visualisation solution. Everything must be coded.
- Needs a bit of redesign to get closer to something like Zeppelin or Jupyter. This IDE style is a bit of old school.
- It does not have cool visualisation solution. Everything must be coded.
What problems is the product solving and how is that benefiting you?
R code development, description analysis, data cleansing, feature engineering, modelling
Recommendations to others considering the product:
This IDE is great to start with R. However, it keeps data in memory so its performance is highly dependent of the volume of RAM you have on your machine. It can easily crash when data is large.
This is dedicated to R as name suggests with lots of features. If you are in enterprise environment, you can even deploy your model on RStudio Server where you can schedule your task on a certain plan. Surly you have to pay for enterprise a very reasonable fee (I think it is $1000).
This is dedicated to R as name suggests with lots of features. If you are in enterprise environment, you can even deploy your model on RStudio Server where you can schedule your task on a certain plan. Surly you have to pay for enterprise a very reasonable fee (I think it is $1000).
User friendly.
What do you like best about the product?
It's ease to make us understand a simple logic and use of user friendly language to do so.
What do you dislike about the product?
Nothing yet that I have discovered dealing with R
What problems is the product solving and how is that benefiting you?
I'm working on building statitical models.
Powerful for Data
What do you like best about the product?
I like that a lot of the packages are open source. Plenty of resources for reference and help. You can google pretty much any question and you will find many answers. It also makes beautiful graphs fit for publication.
What do you dislike about the product?
The way the working directory has to be set can be confusing at first. The syntax is a learning curve. But once you realize that there are several different ways to write the code and that you can google anything it is quite powerful.
What problems is the product solving and how is that benefiting you?
Not for business but for school. Analysis of genetic sequences. Great for publication type graphs and data.
Recommendations to others considering the product:
There are several packages and ways to complete a task. Installation of packages can take a while.
A tool for every Data Scientist
What do you like best about the product?
Simple to code and easy to learn. Any computer enthusiastic can learn.
What do you dislike about the product?
The UI is could be better. More packages/APIs should be included out of box.
What problems is the product solving and how is that benefiting you?
I use it for solving prediction problems. While I am estimating/evaluating a parameter it is helpful.
Recommendations to others considering the product:
The user guide of R can help anyone to achieve their need.
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