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  2. ggplot2 - Wikipedia

    en.wikipedia.org/wiki/Ggplot2

    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 ...

  3. Scatter plot - Wikipedia

    en.wikipedia.org/wiki/Scatter_plot

    A 3D scatter plot allows the visualization of multivariate data. This scatter plot takes multiple scalar variables and uses them for different axes in phase space. The different variables are combined to form coordinates in the phase space and they are displayed using glyphs and coloured using another scalar variable. [1]

  4. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    Until 2011, Quizlet shared staff and financial resources with the Collectors Weekly website. [11] In 2011, Quizlet added the ability to listen to content using text-to-speech. [12] In August 2012, it released an app for the iPhone and iPad and shortly afterward one for Android devices. [11]

  5. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Galbraith plot : In statistics, a Galbraith plot (also known as Galbraith's radial plot or just radial plot), is one way of displaying several estimates of the same quantity that have different standard errors. [7] It can be used to examine heterogeneity in a meta-analysis, as an alternative or supplement to a forest plot. Heat map; Lollipop plot

  6. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form. They include plots such as scatter plots , histograms , probability plots , spaghetti plots , residual plots, box plots , block plots and biplots .

  7. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Bivariate analysis is one of the simplest forms of quantitative (statistical) analysis. [1] It involves the analysis of two variables (often denoted as X, Y), for the purpose of determining the empirical relationship between them. [1] Bivariate analysis can be helpful in testing simple hypotheses of association.

  8. Paired data - Wikipedia

    en.wikipedia.org/wiki/Paired_data

    In some cases, the data sets are paired, meaning there is an obvious and meaningful one-to-one correspondence between the data in the first set and the data in the second set, compare Blocking (statistics). For example, paired data can arise from measuring a single set of individuals at different points in time. [1]

  9. Composite measure - Wikipedia

    en.wikipedia.org/wiki/Composite_measure

    Composite measure in statistics and research design refer to composite measures of variables, i.e. measurements based on multiple data items. [1] An example of a composite measure is an IQ test, which gives a single score based on a series of responses to various questions. Three common composite measures include: