The data can be plotted as a histogram using hist.For example, to view the statistical summary of W variable, we will use.A particular variable can be assessed from the data frame using $ symbol.R data frames are an efficient data store reference,.Next, we will discuss univariate data analysis.The summary of basketball data set shows the Variable G has min value 24.00, Max values 40.00, the median value is 31.00 and the mean value is 31.52.Next, we will use a summary() command to do basic statistical analysis which will show the Min, Max, Mean, median, and the inter quartile range information about the data set for each quantitative variable.To check the dataset imported correctly and review the few top lines of data use head() command in R.

Next will import the data set using read.csv() command and assign to a data frame called SampleData as the following the syntax.Following is a screenshot of R Studio with setwd() and getwd() functions.getwd() to check the present working directory.setwd() is used in R to set the working directory.The first step is to set the working directory which will be used as the preferred location to read and write datasets.This section will do hands-on using R studio for college basketball dataset.The practical approach of statistical analysis with R The data file we will use is ‘cbb.csv’ which is college basketball dataset,.We will be downloading an open-source data set from for this demonstration.csv file to R studio for Statistical analysis. Once the Environment is ready, the next step is to import the data set to R workspace.Once the R studio is installed, it can be directly used to develop R script which will work on the installed version of the R language.R Studio can be downloaded and installed from.R Studio provides GUI support along with some enterprise-ready features like Syntax hiliting, debugging, packages, and workspace management.Next, the IDE such as R Studio needs to be installed on the system.The installable file for R can be downloaded from.R can be installed in Windows, Linux, and MAC OS X.The R language needs to be installed on the system.To start with statistical data analysis with R, the business requirement needs to be clear to find the data patterns from the available data.Hadoop, Data Science, Statistics & others

How to run r studio