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"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.
Hourly and daily count of rental bikes in a large city. Many features, including weather, length of trip, etc., are given. 17,389 Text Regression 2013 [436] [437] H. Fanaee-T New York City Taxi Trip Data Trip data for yellow and green taxis in New York City. Gives pick up and drop off locations, fares, and other details of trips. 6 years Text
Screenshot of different data displays in JMP. JMP consists of JMP, JMP Pro, JMP Clinical and JMP Live. [38] It formerly included the Graph Builder iPad App. [39] It also formerly provided JMP Genomics, a combined JMP and SAS product, but that product was discontinued, and much of the functionality for genomic data analysis is available in JMP Pro.
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. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.
JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS .
Stata (/ ˈ s t eɪ t ə /, [2] STAY-ta, alternatively / ˈ s t æ t ə /, occasionally stylized as STATA [3] [4]) is a general-purpose statistical software package developed by StataCorp for data manipulation, visualization, statistics, and automated
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
OpenMx consists of an R library of functions and optimizers supporting the rapid and flexible implementation and estimation of SEM models. Models can be estimated based on either raw data (with FIML modelling) or on correlation or covariance matrices.