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SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc. , it was acquired by IBM in 2009.
PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics. It has a graphical user interface [2] and conventional command-line interface. It is written in C and uses GNU Scientific Library for its mathematical routines. The name has "no official acronymic expansion". [3]
Download QR code; Print/export ... SPSS: IBM: 28.0 (24 May 2021 ... "A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial ...
IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.
Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R
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There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
Free replacement for SPSS. QtiPlot: GUI, Python: proprietary: No 2004: May 31, 2017 / 0.9.9.11: Linux, Mac, Windows: Python scriptable R: Third party: GPL: Yes 1993: July 2, 2018 / 3.5.1("Feather Spray") Linux, Mac, Windows: In addition to base graphics, has a large number of graphics packages including lattice and ggplot2. [7] Interoperabile ...