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.

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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