Data management in both R and SPSS is almost same. In SPSS graphs are not that interactive as in R where you can create only basic and simple graphs or charts. Graphs in R are also easily made interactive, which allow users to play with data. The most widely used package in R is ggplot2 and R shiny. R offer much more opportunities to modify and optimize graphs due to a wide range of packages that are available.Moreover, SPSS interface is more or less similar to excel spreadsheet. for learning and practicing hands-on analytics R us best tool as it really helps the analyst to master the various analytics steps and commands. R has a less interactive analytical tool than SPSS but its editors are available for providing GUI support for programming in R.For decision trees, SPSS interface is very user-friendly, understandable and easy to use. On the other hand, Decision trees in IBM SPSS are better than R because R does not offer many tree algorithms. In statistical analysis decision trees, R does not provide many algorithms and most of the packages of R can only implement Classification and Regression Tree and their interface is not as user-friendly.
It is mainly used for interactively and statistical analysis.
R has stronger object-oriented programming facilities than SPSS whereas SPSS graphical user interface is written using Java language. IBM SPSS is not free if someone wants to use SPSS software then it has to download the trial version first due to the cost-effectiveness of SPSS, most of the start-ups opt R software.
R is open source free software, where R community is very fast for software update adding new libraries on a regular basis new version of stable R is 3.5.Hadoop, Data Science, Statistics & othersīelow are the most important key differences between R vs SPSS