R Vs SPSS
There are many statistical software that are available for statistical analysis but it is not always clear which one will work best for your research. This blog will discuss key differences between the most popular softwares: R and SPSS with regard to data analysis.
R is free open source software that can be compatible with any operating system. R is commonly used with Rstudio and it holds extensive help sources and community where users share their work and give advice to each other. R can be extended with very large collection of functions and packages. The biggest advantage of using R is that it offers possibilities to visualize and customize the data using ggplot2 and Shiny.
SPSS is considered to be one of the easiest statistics program. Unfortunately is not free if a user wants to use the product, it has to be purchased. SPSS uses java languages and is more user-friendly and It is mainly used for statistical analysis. Unlike R, it does not offer much of customization tools for graph. It holds advantages when it comes to decision trees. While R does not offer many algorithms, SPSS allows better decision making through its understandable interface.
I would like to emphasize that both R and SPSS are amazing analytics with lots of career options. R would be better option for exploratory data analysis but if you are new in statistics, you should start with SPSS.