R Language is one of the most popular analytics tool. But apart from being used for analytics, R is also a programming language. With its growth in the IT industry, there is a booming demand for skilled or certified Data Scientists with an understanding of R as both, a data analytics tool and a programming language. In this blog, I will help you understand the various fundamentals of R programming.

R Programming Language is the most popular data analytics tool as it is open-source, flexible, offers multiple packages and has a huge community. It’s designed for software programmers, statisticians and data miners, alike and hence, given rise to the popularity of certification trainings in R. In this R Tutorial blog, I will give you a complete insight about R with examples. 

R Tutorial : Why Do We Need Analytics?

Before I answer the question, let me brief you with some of the problems and their solutions in R in multiple domains.

Banking :

Large amount of customer data is generated everyday in Banks. While dealing with millions of customers on regular basis, it becomes hard to track their mortgages.

Solution: 

R builds a custom model that maintains the loans provided to every individual customer which helps us to decide the amount to be paid by the customer over time.

Insurance:

Insurance extensively depends on forecasting. It is difficult to decide which policy to accept or reject.

Solution: 

By  using the continuous credit report as input, we can create a model in R that will not only assess risk appetite but also make a predictive forecast as well.

Healthcare:

Every year millions of people are admitted in hospital and billions are spent annually just in the admission process.

Solution:

Given the patient history and medical history, a predictive model can be built to identify who is at risk for hospitalization and to what extent the medical equipment should be scaled.

R Programming Tutorial: What is Business Analytics?

Business analytics is a process of examining large sets of data and achieving hidden patterns, correlations and other insights. It basically helps you understand all the data that you have gathered, be it organisational data, market or product research data or any other kind of data. It becomes easy for you to make better decisions, better products, better marketing strategies etc.

Data visualization: Data visualization is a visual access to huge amounts of data that you have generated after analytics. The human mind processes visual images and visual graphics are more better than compare to raw data. Its always easy for us to understand a pie chart or a bar graph compare to raw numbers. Now you may be wondering how can you achieve this data visualization from the data you have already analyzed?

R Language Tutorial : Why R Language and Who Uses R Language?

Why R Language?

1. R is a programming and statistical language.

2. R is used for data Analysis and Visualization.

3. R is simple and easy to learn, read and write.

4. R is an example of a FLOSS (Free Libre and Open Source Software) where one can freely distribute copies of this software, read it’s source code, modify it, etc.

Who uses R?

1. The Consumer Financial Protection Bureau uses R for data analysis

2. Statisticians at John Deere use R for time series modeling and geospatial analysis in a reliable and reproducible way.

3. Bank of America uses R for reporting.

4. R is part of technology stack behind Foursquare’s famed recommendation engine.

5. ANZ, the fourth largest bank in Australia, using R for credit risk analysis.

6. Google uses R to predict Economic Activity.

7. Mozilla, the foundation responsible for the Firefox web browser, uses R to visualize Web activity.

Below are some of the domains where R is used:

R Tutorial: Installation of R

Let me guide you through the process of installing R on your system. Just follow the below steps:

Step 1 : Go to the link-  https://cran.r-project.org/

Step 2 : Download and install R 3.3.3 on your system.

By following the above steps, you are done with the R installation part. Now, you can directly start coding in R by downloading RStudio IDE. To download this, follow the below steps:   

Step 1: Go to the link- https://www.rstudio.com/

Step 2: Download  and install Rstudio on your system.

After installing everything, you are all set to code!

more detail visit: www.csdt.co.in