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ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
The free statistical package R (see R programming language) can make a wide variety of nice-looking graphics. It is especially effective to display statistical data. On Wikimedia Commons, the category Created with R contains many examples, often including the corresponding R source code. Other examples can be found in the R Graph Gallery.
The R programming language can be used for creating Wikipedia graphs. The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots ...
jamovi is an open source graphical user interface for the R programming language. [3] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [4] [5] It also can be used for linear regression, [6] mixed models and Bayesian models. [7]
fast real-time large-dataset plotting and viewing tool with basic data analysis functionality AIDA: LGPL: Yes 2001: October 2003 / 3.2.1: Open interfaces and formats for particle physics data processing Algebrator: GUI: Proprietary: No 1999: 2009 / 4.2: Linux, Mac OS X, Sugar, Windows: 2D graphs Archim: drawing 2D and 3D graphs: freeware: No ...
R-trees do not guarantee good worst-case performance, but generally perform well with real-world data. [7] While more of theoretical interest, the (bulk-loaded) Priority R-tree variant of the R-tree is worst-case optimal, [8] but due to the increased complexity, has not received much attention in practical applications so far.
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Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface. Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted.