One of the best and freely available tool for data analysis.
May 13, 2019

One of the best and freely available tool for data analysis.

Akshaya Bhardwaj | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

We are a service based company. For most of the clients, we work in data analytics. So we use this product department-wide where we have to apply data models, EDAs, etc. Generally, the business problems deal in drawing the statistical inferences out from the data and applying various machine learning models for the predictions and sometimes we also use this product to clean the data.
  • RStudio provides good data visualization while doing exploratory data analysis
  • We can import the data from multiple sources for processing the data.
  • Its syntax is pretty much easy to use and learn. Also applying machine learning models are very easy in it.
  • Downloading the packages/modules very easily and we can use them very comfortably.
  • We can export the data into multiple channels from it, which I think is a major boost for it.
  • Since its freely available, we always need good RAM to support it
  • While loading the big size of data (millions of records), it crashes many times.
  • Its user interface doesn't look attractive.
  • We can not apply any major artificial intelligence framework in it which I think is a major con it. It's more into drawing statistical inferences from the data.
  • Since it is available in a free license ROI is very good.
  • We take very less time to train people in it which gives us a good ROI.
  • For working with the huge amount of data, we need to upgrade the configuration of our systems. Which involves high costs
  • SAS Enterprise Guide, SAS Enterprise Miner and IBM SPSS
It has the same capabilities as the other mentioned tools.
1)It is freely available.
2)Generates good quality of results.
3)In a single product, we can do multiple tasks like data cleaning, EDAs, modelling, etc.
4)We can share the results easily in a given time to a different system.
5) It works very fast for a small amount of data.
In our company, we use this tool for data analysis purposes only. From this tool/product we do data cleaning, data preprocessing, exploratory data analysis(EDA), model building, and apply statistical tests on the data.
We have suggested many tools in our company but they are pretty much expensive and also the quality of output is not that good.