R vs SPSS: Which One is The Best Statistical Language
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This document compares the statistical programming languages R and SPSS. It discusses that R is an open-source language developed for statistical analysis, while SPSS is a commercial product focused on social science data. Some key differences covered include that R has faster updates but a less user-friendly interface than SPSS. R also has better data visualization, lower costs, and larger community support than SPSS. Overall, the document provides an overview of the capabilities and differences between the two statistical languages.
R vs SPSS: Which One is The Best Statistical Language
- 1. R VS SPSS WHICH ONE IS THE BEST STATISTICAL LANGUAGE S T A T A N A L Y T I C A P R E S E N T S By Statistics Experts
- 2. S t a t A n a l y t i c a Overview Definition Updates Languages Statistical Analysis Decision Trees InterfaceVisualizations Data Management Decision Making Documentation Cost Easy of learning Used by Companies Conclusion R vs SPSS OUTLINE OF TOPICS WHAT WE'LL DISCUSS
- 3. S t a t A n a l y t i c a Today I am going to share with you the detailed comparison between R vs SPSS. Majority of statistics students doubt these two programming languages. Let’s get started with a little comparison between R vs SPSS. Lets have a look on the overview of the R language. R is an open source programming language it is based on the S language. R was developed in the University of Auckland by Ross Ihaka and Robert Gentleman. The best part of the R programming language is R offers the best GUI editors than any other language. RGui and R studio are commonly used GUI editors of R language.On the other hand, SPSS stands for “statistical package for social science. It was launched in the year 1968. Lateron it was acquired by IBM in the year 2009.After that, it is officially known as IBM SPSS.
- 4. S t a t A n a l y t i c a I’ve already provided you an overview of the R programming language. Let’s learn more about R programming. In the year 2000, the University of Auckland officially launched the first version of R. R is primarily focused on statistical modeling, and it was open-sourced under GNU license. I On the other hand, SPSS was developed in North Carolina State University. The primary focus to improve SPSS was to able the statisticians to analyze large quantities of agriculture data. As mentioned earlier, SPSS stands for Statistical Package for the Social Sciences . DEFINITION
- 5. S t a t A n a l y t i c a R is an open-source programming language. Open source programming languages usually have a large community of active members. That’s why R offers faster software updates and keep adding new libraries to provide better functionality to the users.On the other hand, IBM SPSS is not an open source programming language. It is a commercial product of IBM. You can only have the free trial of SPSS for one month. SPSS doesn’t have the community like R and also doesn’t offer the quick updates. UPDATES
- 6. S t a t A n a l y t i c a R is written in the ancient aged language i.e., C and Fortran. But R also offers the object-oriented programming facilities.On the other hand, SPSS is written in Java language. SPSS provides the best in class GUI, which is written in Java. Statisticians use R for statistical analysis and interactivity. LANGUAGE
- 7. S t a t A n a l y t i c a When we test R In statistical analysis decision trees. Then R does not offer the many algorithms. Besides, most of the packages of R can only implement Classification and Regression Tree. And the worst part of R packages is their interface is not as user-friendly.On the other hand, when we use Decision trees in IBM SPSS. Then we find it way better than R because SPSS is more user-friendly, understandable, and easy to use. STATISTICAL ANALYSIS DECISION TREES
- 8. S t a t A n a l y t i c a R is considered as a less interactive analytical tool than SPSS. But it has a variety of editors that are providing GUI support for programming in R. If you want to learn and practice the analytics then R is much better to learn the analytics steps and commands.On the other hand, the SPSS interface is more likely to excel spreadsheet. SPSS offers the more user friendly GUI based user interface. If you’re familiar with excel. Then you can find it more easy to use than R. INTERFACE
- 9. S t a t A n a l y t i c a R has an extensive set of packages to R modify and optimize graphs. ggplot2 and R shiny are the most widely used packages in R. It is quite easy to design and graph in R language, which allows the users to play with data.On the other hand, SPSS doesn’t offer interactive graphs like R. In SPSS, and you can create only basic and straightforward graphs or charts. VISUALIZATIONS
- 10. S t a t A n a l y t i c a Both R and SPSS offer almost the same data management. But in the case of R, the most functions of R loads the data into the memory before the execution of the program. It makes R relatively slower than the other programming language. Because there is a limited volumes of data can be handle.On the other hand, SPSS provides faster data management functions i.e. sorting, aggregation, transposition, and for merging of the table. DATA MANAGEMENT
- 11. S t a t A n a l y t i c a R is not the best programming language for decision making. The reason is R does not offer many algorithms. And most of its packages can only implement CART (Classification and Regression Tree).And the worst part is their interface is not as user-friendly. That’s why it is overwhelming for the users to use R packages for decision making purpose.On the other hand, SPSS is one of the best statistical programming language for decision trees. The reason is SPSS offers the best among the best user-friendly and understandable user interface. DECISION MAKING
- 12. S t a t A n a l y t i c a R offers the best documentation because it has a large community where you can find the well explain documentation files. You can also solve all your queries and problems with the help of most robust open source communities of R. On the other hand, SPSS is a commercial product; thus, it doesn’t offer vast documentation. But when you purchase the SPSS from IBM, then you get some documentation along with the purchase. DOCUMENTATION
- 13. S t a t A n a l y t i c a R is an open-source programming language. It means that you need not pay a single penny to anyone if you want to use R. You can also collaborate in the development phase of the R language to make it better for you and other users.Besides other programmers keep doing a great job to keep adding new libraries and updates in R without charging anything. On the other hand, SPSS is not a free product.You need to pay some subscription charges to use it. You can also use the trial version of SPSS before purchasing the licensed version. COST
- 14. S t a t A n a l y t i c a It is pretty evident that open source programming is easy to learn and implement. In the case of R, it is also quite easy for the student to have a better command over this language.There are lots of sources available online to learn R. You can also take the help of R community to clear all your doubts while learning R. On the other hand, SPSS is also easy to learn because it offers the interface like MS excel spreadsheets. But the only drawback is, it is not freely available for the users. EASY OF LEARNING
- 15. COMPANIES USING R USES Facebook Google Twitter Microsoft Uber S t a t A n a l y t i c a
- 16. COMPANIES USING SPSS USES eBay KPMG Cognizant Technology Solutions IBM Infosys S t a t A n a l y t i c a
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