IBM SPSS Statistics 24.0 FP002 IF022 Multilingual (x86/x64)

IBM SPSS Statistics is the world’s leading statistical software used to solve business and research problems by means of ad-hoc analysis, hypothesis testing, and predictive analytics. Organizations use IBM SPSS Statistics to understand data, analyze trends, forecast and plan to validate assumptions and drive accurate conclusions.

IBM SPSS Statistics 24 brings enhancements requested from customers for some of our most popular procedures and modules. In fact, throughout the development cycle we worked closely with select customers to address your biggest needs and concerns. This resulted in a product release that feels refreshingly different as we addressed customer requests around enhancing existing analytical procedures and product usability.

Here’s a summary of what’s new in IBM SPSS Statistics 24:
IBM SPSS Statistics Extensions for R, Python, and SPSS Syntax. Extensions provide powerful features for you, the end user, by being a constant stream of new content without requiring a separate purchase or requiring a new product installation. This year we’ve made extensions both easy and fun to try. I encourage everyone to try downloading and building an extension today by navigating to the new Extensions menu.

Smarter dataset importing and exporting. Getting data into and out of IBM SPSS Statistics is now easier than ever. We know our users primarily use Excel and CSV files to import and export data, so we’ve prioritized ease of use for these channels. The simplified importing will save you hours of time with our new smarter importing algorithms. Simply try importing a text or Excel file to see how fast you’ll go from raw data to statistical insight.

Custom Tables refresh. Custom Tables is one of our most popular modules. Its drag and drop interface is easy to use while providing the ability to generate everything from simple summaries to deep statistical output. We’ve now made this procedure even more powerful by adding new statistical functionality and customer requested features. Navigate to Analyze -> Custom Tables menu to try it for yourself.

Other enhancements include a new modern look for table output, Python 3 programmability, revert to saved functionality, support for additional date/time formats, and more.
Custom Tables is one of the popular modules in SPSS. With version 24.0 IBM SPSS has made this procedure even more powerful by adding new statistical functionality and customer requested features.

International Business Machines Corporation (IBM) provides computer solutions. The Company offers application, technology consulting and support, process design and operations, cloud, digital workplace, and network services, as well as business resiliency, strategy, and design solutions. IBM serves clients worldwide.

Product: IBM SPSS Statistics
Version: 24.0 FP002 IF022 *
Supported Architectures: 32bit / 64bit
Website Home Page : http://www.ibm.com
Language: multilanguage *
System Requirements: PC / Linux / macOs **
Supported Operating Systems: **
Size: 20.4 Gb

24.0.IM.S24STAT.MACOS.FP002.IF001
24.0.IM.S24STAT.ALL.FP002.IF006
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24.0.IM.S24STAT.ALL.FP002.IF019
24.0.IM.S24STAT.ALL.FP002.IF020
24.0.IM.S24STAT.WIN.FP002.IF031
24.0.IM.S24STAT.ALL.FP002.IF022

Interim Fix – a fix that contains one or more product defects/APARs. This is the most common patch that IBM delivers. When a client reports an issue that is confirmed as a product defect, technical support delivers this type of patch to the client to fix the product defect.

IBM.SPSS.Statistics.24.0.FP002.linux
IBM.SPSS.Statistics.24.0.FP002.macos
IBM.SPSS.Statistics.24.0.FP002.win.x86.x64
Full release with Documentation (Languages : Português, English, Français, Deutsch, Italiano, 日本語, 한국어, Polski, Русский, Simplified 中文, Español, Traditional 中文)

IBM SPSS Data Access Pack 7.1.1
IBM SPSS products are distributed with a set of technologies for accessing data from a variety of filetypes and databases.
IBM SPSS Data Access Pack is primarily for system administrators who are installing an IBM SPSSproduct for use in a networked computer environment, and who need to provide end users with accessto databases on remote servers.

The IBM SPSS Data Access Pack deploys DataDirect Connect and ConnectXE for ODBC, which providesa comprehensive set of individual, database-specific drivers that use ODBC to deliver reliableconnectivity to all major data stores, from relational databases to flat-file data.

Note: These data access technologies are "closed"-they can be used only with IBM SPSS products. If youwant to access databases with other applications, you may require a more general solution

System Requirements IBM SPSS Statistics 24
For Windows:
Operating system:
* Windows 7(SP 1), Windows 8, Windows 10 (32-Bit-oder 64-Bit-Version each)
Configuration:
* Processor with 2 GHz or higher.
* 4 GB RAM or more, for 64-bit clients at least 8 GB.
* 2 GB free hard disk space. If you install more than one help language, each additional language will require 60-70MB of disk space.
Display:
* 1024*768 or higher
For Mac:
Operating system:
* (Mac OSX) Yosemite 10.10 or OS X El Capitan 10.11(each x86-64)
Configuration:
* Processor with 2 GHz or higher.
* 8 GB RAM or more.
* 2 GB free hard disk space. If you install more than one help language, each additional language will require 60-70MB of disk space.
Display:
* 1024*768 or higher
For Linux:
Operating system:
* Red Hat Enterprise Linux (RHEL) Client 6 or 7 or Ubuntu 14.04 LTS (x86-64 each)
Configuration:
* Processor with 2 GHz or higher.
* 8 GB RAM or more.
* 2 GB free hard disk space. If you install more than one help language, each additional language will require 60-70MB of disk space.* Since the installation program unpacks files before installation, the same amount of temporary disk space is required for the installation program. If there is not enough space available in the /tmp directory or in the home directory, use the IATEMPDIR environment variable to specify a different temporary directory for the extracted files of the installer. After the installation you can remove this folder.
Display:
* 1024*768 or higher

Languages *: Português, English, Français, Deutsch, Italiano, 日本語, 한국어, Polski, Русский, Simplified 中文, Español, Traditional 中文.