In this section, we were introduced to R and in particular, data science with R. We learnt about the various applications of R across different industries and how R is being used across disciplines to solve a wide range of challenges. R has been growing at a tremendous rate, averaging 20% to 30% growth year-on-year, and today has over 12,000 packages.
We also downloaded and installed R and RStudio and wrote our very first program in R. The R program utilizes various libraries for both data analysis and charting. In the next chapter, we will work on descriptive and inferential statistics. We will learn about hypothesis testing, t-tests and various other measures in probability. While this chapter provided a high-level overview, in the next chapter, we will delve into more fundamental data science topics and see how you can use R to develop code and analyse data using R.
