It provides users with the option to import data in a variety of formats and it is compatible with flexible NoSQL, a database that enables the storage and retrieval of data that is not modelled in the tabular relations used in relational databases, as well as the more traditional SQL-style relational database management systems. As for the programming language used, a user can create their own “grammar” benefiting from one of the R’s feature as an object-oriented language. Furthermore, R is india rcs data extremely versatile and runs on all common operating systems. Distributions of R include the core R console for Windows, Mac or Linux and a number of graphical interfaces such as RStudio (an integrated development environment for R), RStudio Server and many other open-source or commercial licenses. The R scripting and code highlighting is even supported in Notepad++.
Being open source, R benefits from being free of charge and is available on the R project pages. support on hand, as the R community is incredibly active, sharing support and new ideas with one another.
Although big data processing may be accomplished with other tools, it is when one moves on to the data analysis that R really stands out, owing to the huge amount of built-in statistical formulae and third-party algorithms available. It allows the user to create data outputs in an almost limitless number of formats, including plots, graphs, diagrams and dashboards. Indeed, recent R developments have enabled the building of interactive data dashboards using javascript libraries such as D3.js, rCharts, Google Charts, leaflet.js, highcharts or htmlwidgets. As there is a lot of activity around R at the moment, we can expect many other innovative ideas to develop from within the R community in the very near future.