Most Used Programs in Data Analysis - 1

R is an open source software language used for statistical computing, graphics and data analysis. Since it is a free software language, R, which makes its users a part of the development process, continues to be developed by a team called R Core Development Team, and today it offers approximately 12 thousand packages to its users. Nowadays, where data analysis has become more important, R has become a programming
language that is frequently mentioned. R, a programming language used for statistical calculations and graphics, was developed in 1993 by Ross Ihaka and Robert Gentleman of the University of Auckland, New Zealand, and is named after the initials of these two developers. The software started to be developed in 2010 and the first beta version was released in February 2011.
R is an open source software language used for statistical computing, graphics and data analysis. Being a free software language, R, which makes its users a part of the development process, is now being developed by a team called the R Core Development Team. Today, it offers about 12000 packages to its users. R offers a wide range of statistical results (linear and nonlinear modelling, classical statistical tests,time series and panel data analysis, classification, clustering and decision trees, etc.) and graphicaltechniques. That's why it's very popular with data scientists and analysts. Popular areas where it is used are machine learning and big data.