Objective: R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical ( linear & non-linear, classical statistical tests, time-series analysis , classification, clustering etc.)and graphical technique and is highly extensible . R is the best way to create reproducible high quality analysis .It has all the flexibility and power when dealing with data. Many data analysts and research programmers use R because R is the most prevalent language. Hence R is used as a fundamental tool for finance. Many quantitative analysts use R as their programming tool. Hence R helps in data importing and cleaning, depending on what manner of strategy you are using on. R is best for data science because it gives a broad variety of statistics. In addition, R provides the environment for statistical computing and design.