R-programming Vs GUI base Data Analysis
R-programming Vs GUI Base Data Analysis
Data Analytics is an important part of many businesses today. Managers at all levels today want to be right while making decisions. Be it every day issue in business or coming up with a major game changer plan, most managers want to be accurate when making decision. This leaves less room for making decisions based on gut feeling. There are different data analytics tools which are used by different people in business such as programming software and GUI analytics tools. Let us compare R programming software with some of the GUI based analytics tools.
R software offers several benefits such as its ‘free’ version, reproducible research, easily connects to most types of data etc. However, R software requires user to learn programming. This means that the user should be well versed with programming to use R software. However, in case of GUI analytic tools user need not worry about knowing the programming part of it. The GUI software obviates the programming and provides users with graphic user interface so that even a person with a minimal knowledge of algorithms can simply use them to analyse the data to find meaningful conclusion. One of the GUI tool such as SPSS (Statistical Package for the Social Sciences) is very popular among universities, offers good user interface, is very efficient and easy to use for standard tasks and most importantly provides official support by the developing company.
The need to know programming in case of R software makes the software difficult to be used by users of different capability. However, the graphic user interface offers user friendly and easy to use tools which also can produce similar results as that of R software. This makes GUI tools different from R software and easy to use. The R software does not offer user interface which is a major disadvantage considering the flexibility offered by the GUI based tools to its users.
Decision making is one of the vital roles played by data analytics tools. The SPSS tool offers answer tree for decision trees and hence is more competitive than R, which does not offer many tree algorithms.
The flexibility and the ease of use of SPSS (GUI Software) make the tool easier especially for people who do not have programming background. While R is a open source software and anyone can easily learn and implement, SPSS offers trial version for people to learn. But, one need to buy it for continued usage. The licensed version of the tool is also eligible for support from the developing organization IBM, which offers flexibility to the users.
References
https://www.educba.com/r-vs-spss/
https://data-flair.training/blogs/r-sas-spss-data-analytics-tools-comparison/
