statsoft statistica

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You may have heard of R. Perhaps you've read an article like Sam Siewert's "Big Data in the cloud". You probably know that R is a programming language and you know it's about statistics, but is it right for you? Why do you choose R? R can perform statistics. You can see it as a competitor to analysis systems such as SAS Analytics, not to mention simpler packages such as StatSoft Statistica or Minitab. Man

Oracle, DB2, and MySQL. Intercommunication with python, Java, C, C ++, and other languages APIS can be called, such as Google, Twitter, and Weibo. Most other statistical software can call R, such as SAS, SPSS, and statistica. Even some direct commercial applications, such as Oracle R enterprise, IBM netezza, r add-on for teradata, SAP Hana, Sybase RAP (Liu Si, 2012) 2.2 honors R language has so many advantages, most of the reason is t

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as Google, Twitter, Weibo Most other statistical software can call R, such as SAS, SPSS, Statistica, etc. Even some of the more straightforward business applications, such as Oracle R Enterprise, IBM Netezza, R add-on for Teradata, SAP HANA, Sybase RAP The functions of R can be enhanced by the user-written suite. Added features include special statistical techniques, drawing functions, as well as programming interfaces and data output/in

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, SPSS, and Statistica), the influence of R has developed into the field of commercial databases. Additional reading The R language is the language used for statistical analysis and plotting and the operating environment. R was originally developed by Ross Ihaka and Robert Gentleman from the University of Auckland, New Zealand. This is also called R). Now the R development core team is responsible for development. R is a GNU project based on the S la

will not agree, because no matter the original database (IBM, Sybase, NCR, Oracle, Microsoft, etc ), the statistical analysis software (SAS, statistica, SPSS, etc), and even the reporting tools (Bo, Brio, Cognos, etc) are desperately extending their own value chains. Therefore, simply call Data Management (DM) to make sure that all data is in the world.As for ERP, CRM, etc. To put it bluntly, it is still a DM, but it is limited to specific social a