R

R

The R Foundation
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About

IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems. • Addresses all facets of the analytical process from data preparation and management to analysis and reporting • Provides tailored functionality and customizable interfaces for different skill levels and functional responsibilities • Delivers graphs and presentation-ready reports to easily communicate results Organizations of all types have relied on proven IBM SPSS Statistics technology to increase revenue, outmaneuver competitors, conduct research, and data driven decision-making.

About

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Audience

Companies that need a powerful data platform

Audience

DevOps teams in need of a statistical computing and graphics solution

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$99/month
IBM® SPSS® Statistics has flexible pricing plans. See which option is right for you—from monthly subscriptions to perpetual licenses and special pricing for students and educators, there is an option for everyone.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 4.4 / 5
ease 4.4 / 5
features 4.3 / 5
design 4.0 / 5
support 4.4 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • SPSS offers an intuitive interface that simplifies complex statistical analyses. Its powerful data management features allow efficient handling of large datasets, while comprehensive reporting tools enable clear visualization of results. The software's versatility in supporting various data formats and its regular updates with new statistical methods enhance its functionality for both beginners and experienced users.
  • SPSS 20 is an industry-standard statistical software that has earned its reputation for being an essential tool for data analysis, particularly in fields like social sciences, medical statistics, and research. Having used SPSS 20 during both my undergraduate and postgraduate studies, I can confidently say that the software stands out for several reasons. 1. User-Friendly Interface SPSS is known for its intuitive interface that allows even those with minimal statistical training to perform complex analyses. The drag-and-drop functionality for data manipulation, along with its clean layout, makes the software accessible and easy to navigate. As a student, I found that SPSS 20 enabled me to quickly adapt to its features without a steep learning curve. 2. Comprehensive Statistical Tools SPSS 20 offers a wide range of built-in statistical techniques, from basic descriptive statistics to advanced predictive models. It caters to a variety of fields, including medical statistics, where its functionality has been incredibly useful in handling large datasets. For tasks such as regression analysis, ANOVA, and hypothesis testing, the software provides robust and reliable results. 3. Customizability and Scripting One of the strengths of SPSS 20 is its ability to integrate custom scripts using syntax, allowing users to automate repetitive tasks and customize their analyses. This feature is particularly beneficial for more advanced users who need to streamline workflows or conduct specialized analyses not covered by the standard menu options. 4. Data Visualization The software excels at producing clear and professional charts and graphs. From histograms to scatter plots and bar charts, SPSS 20's graphical capabilities allow users to visually interpret their data with ease. This has been especially useful in presenting research findings, as the software’s output can be easily exported to reports and presentations. 5. Reliability and Support During my undergraduate studies, I experienced a seamless experience with SPSS 20. The software handled large datasets and complex analyses without issues. Additionally, the software is backed by strong user support and an active community, making it easier to find troubleshooting tips and resources when needed. 6. Cross-Platform Compatibility SPSS 20 can import and export data in multiple formats, including Excel, CSV, and Stata, making it versatile and compatible with other data management tools. This feature ensures smooth data handling across different platforms, an advantage in academic and research settings where data comes from various sources.
  • High cost for individual users. Steep learning curve for advanced features. Limited customization options.
  • I would like to say this SPSS program is great. Good quality and Easily for beginners for research or statistics. Great job!!!
  • I have used SPSS for a long time now and I appreciate its capabilities. The tool makes data analysis, presentation nd integration easy. The software can handle different types of data.

Cons

  • While SPSS is user-friendly, some advanced features may require a learning curve for beginners. Additionally, the software can be resource-intensive, which may lead to performance issues on older machines.
  • As a postgraduate student pursuing a Master’s in Medical Statistics at the University of Kelaniya, Sri Lanka (2024 September), I have found SPSS 20 to be an invaluable tool for both my academic work and research projects. I have been using this version for the past two months, initially provided by the university as a temporary 14-day activation. During the first week of use, SPSS 20 ran smoothly, helping me manage complex statistical analyses efficiently, which is crucial for my coursework and ongoing research. However, midway through the activation period, I began encountering a persistent error: "A fatal error has occurred and the client can no longer communicate with the server." This issue rendered the software unusable. Despite attempting to uninstall and reinstall SPSS 20, the problem persisted, preventing further access. This was disappointing, especially since I had used SPSS previously during my undergraduate research at the University of Peradeniya without any major issues. In terms of usability, when functional, SPSS is straightforward and highly effective, offering a range of statistical functions that suit my needs as a medical statistics student. However, this technical error interrupted my workflow and was quite frustrating, as I had come to rely on the software for my studies. If other users have encountered similar issues, I hope this review offers some clarity and perhaps opens a conversation about potential solutions or workarounds for these technical problems. Overall, SPSS 20 is a great tool when it works, but resolving such errors is essential for seamless academic use.
  • Comprehensive statistical tools. User-friendly interface. Efficient data management. Good integration with other software.
  • Sometimes, I cannot fill data. Maybe due to my internet or my computer. In this SPSS version 29.
  • My only concern with SPSS is that it is not easy to understand especially with the layman person. It requires lots of practice to master the tool.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/spss-statistics

Company Information

The R Foundation
www.r-project.org

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Categories

Big Data Supported
Data Analysis Supported
Data Management Supported
Data Modeling Supported
Data Preparation Supported
Data Science Supported
Graphing Supported

Categories

Big Data Features

Collaboration Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Mining Supported
Data Visualization Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Supported
Templates Not Supported

Statistical Analysis Features

Analytics Not Supported
Association Discovery Supported
Compliance Tracking Supported
File Management Not Supported
File Storage Supported
Forecasting Not Supported
Multivariate Analysis Not Supported
Regression Analysis Not Supported
Statistical Process Control Not Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization Not Supported

Integrations

IBM SPSS Modeler Supported
JMP Statistical Software Supported
Snipplr Supported
Akira AI Not Supported
Claude Opus 4.5 Not Supported
Claude Sonnet 3.7 Not Supported
Claude Sonnet 4.6 Not Supported
Cody Not Supported
DeepSeek-V4-Pro Not Supported
ERNIE 4.5 Turbo Not Supported
GPT-5.1-Codex Not Supported
Gemini 2.5 Pro Not Supported
Grok 4.7 Not Supported
Mistral 7B Not Supported
PostgresML Not Supported
Rapidminer AI Studio Not Supported
SOCRadar Extended Threat Intelligence Supported
Sublime Text Not Supported
Zed Not Supported
data.world Supported

Integrations

IBM SPSS Modeler Supported
JMP Statistical Software Supported
Snipplr Supported
Akira AI Supported
Claude Opus 4.5 Supported
Claude Sonnet 3.7 Supported
Claude Sonnet 4.6 Supported
Cody Supported
DeepSeek-V4-Pro Supported
ERNIE 4.5 Turbo Supported
GPT-5.1-Codex Supported
Gemini 2.5 Pro Supported
Grok 4.7 Supported
Mistral 7B Supported
PostgresML Supported
Rapidminer AI Studio Supported
SOCRadar Extended Threat Intelligence Not Supported
Sublime Text Supported
Zed Supported
data.world Not Supported
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