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Data Visualization with lattice in R

Learn to visualize multivariate datasets using lattice graphics.

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4 Hours17 Videos60 Exercises4,914 Learners4950 XP

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Course Description

Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, but limited in its ability to deal with multivariate data. Trellis graphics is the natural successor to traditional graphics, extending its simple philosophy to gracefully handle common multivariable data visualization tasks. This course introduces the lattice package, which implements Trellis graphics for R, and illustrates its basic use.

  1. 1

    Basic plotting with lattice


    Introduction to some basic plotting functions in lattice. Draw histograms, scatter plots, density plots, and box and whisker plots.

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    50 xp
    Formula interface in histogram() and xyplot()
    50 xp
    Create a histogram
    100 xp
    Create a scatterplot
    100 xp
    Differences between base R graphics and lattice histogram
    50 xp
    Optional arguments
    50 xp
    Y-axis value in histogram()
    100 xp
    100 xp
    Density plots
    100 xp
    Box and whisker plots and reordering levels
    50 xp
    Box and whisker plot
    100 xp
    Whisker extents and outliers
    100 xp
  2. 5

    Extensions and the lattice ecosystem

    The lattice package is not just meant to be used as a standalone collection of plotting functions. Rather, it is a framework that is used as a base by many other packages. Some of these are very specialized and beyond the scope of this course. Here we give a brief survey of extensions that are generally useful to enhance displays or create new ones.

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Data Visualization in R
Deepayan Sarkar Headshot

Deepayan Sarkar

Member of R-Core & the creator of lattice

Deepayan is an Associate Professor at the Indian Statistical Institute, and a member of R-Core. He is the creator of the lattice package, and the author of the corresponding book Lattice - Multivariate Data Visualization with R.
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