Why we use R: } Availability R programming language is open source. This makes it highly cost effective for a project of any size. Since it is open source, developments in R happen at a rapid scale and the community of developers is huge } Data wrangling Data wrangling is the process of cleaning messy and complex data sets to enable convenient consumption and further analysis. This is a very important and time taking process in data science. R has an extensive library of tools for database manipulation and wrangling. For Example dplyr,stingr. } Data visualization Data visualization is the visual representation of data in graphical form. This allows analyzing data from angles which are not clear in unorganized or tabulated data. R has many tools that can help in data visualization, analysis, and representation. } Specificity R is a language designed especially for statistical analysis and data reconfiguration. All the R libraries focus on making o
Introduction to R studio: The image shown is the interface of the R studio software which is lot more organized and we are going to see each of the panels and their properties one by one. R Interface In this image the highlighted panel is used for the scripting purpose in the R which is also known as source window. Here we are going to write the code for which we are performing the task. This is one of the most important panel of R studio. Source Now this highlighted panel is the console where we will see the output of the code we are going to execute. This will show us the output produced from the code we have written in the script panel. It will also show us the error if any in the code. Console This panel is known as global environment. The main function of this panel is to store the object or we can say the variable which is been created by the user. Global Environment And this last panel is a combination