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JMP (pronounced "jump" [1]) is a suite of computer programs for statistical analysis and machine learning developed by JMP, a subsidiary of SAS Institute.The program was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems.
PROC statements can also display results, sort data or perform other operations. [5] SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. [8] SAS data can be published in HTML, PDF, Excel, RTF and other formats using the Output Delivery System, which was first introduced in 2007. [9]
Import (CSV): Specifies whether the product supports import data from a comma-separated values formatted file. Import (DBF): Specifies whether the product supports import data from dBase DBF files. Import (Excel): Specifies whether the product supports import data from Microsoft Excel workbook file. Note that different Excel format versions may ...
While SAS was originally developed for data analysis, it became an important language for data storage. [5] SAS is one of the primary languages used for data mining in business intelligence and statistics. [29] According to Gartner's Magic Quadrant and Forrester Research, the SAS Institute is one of the largest vendors of data mining software. [24]
Excel files include outputs for all analyses performed including plausible values. Users can also perform basic many-facets Rasch analysis for an examination of item DIF, fixed anchor equating for two dichotomous matrices, an analysis of variance (ANOVA) of EAP theta estimates for examining the effect of group effects, and inter-rater ...
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS ), which helps access, manage, analyze and report on data to aid in decision-making.
The original concept of Access was for end users to be able to access data from any source. Other features include: the import and export of data to many formats including Excel, Outlook, ASCII, dBase, Paradox, FoxPro, SQL Server and Oracle. It also has the ability to link to data in its existing location and use it for viewing, querying ...
Programs like SAS, SOFA, R, Minitab, Cornerstone and more allow for data visualization in the field of statistics. Other data visualization applications, more focused and unique to individuals, programming languages such as D3 , Python and JavaScript help to make the visualization of quantitative data a possibility.