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SMIBI M J has completed

Exploratory Data Analysis with swirl

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4 hr
3,750 XP
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Course Description

This course contains all of the lessons from swirl's Exploratory Data Analysis Course. Here you will learn how to work with data sets and visualize them using powerful tools in R.
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  1. 1

    Intro to Exploratory Data Analysis

    Free

    Three swirl lessons discussing basic principles of presenting data effectively and illustrating fundamental concepts of displaying analytical results.

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    Principles of Analytic Graphs
    250 xp
    Exploratory Graphs
    250 xp
    Graphics Devices in R
    250 xp
  2. 2

    Basic Plotting

    Free

    Four exercises detailing the basic and lattice plotting systems, and how to introduce color into the plots.

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  3. 3

    ggplot2

    Free

    These three lessons introduce and expand upon the foundations of the ggplot2 package. The first two exercises focus on qplot and ggplot and the final exercise introduces additional features of the ggplot2 package.

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  4. 4

    Clustering Techniques

    Free

    Five exercises will inform you about clustering, a simple way of quickly examining and displaying multi-dimensional data. These techniques are usually most useful in the early stages of analysis when you're trying to understand the basic structure of the data.

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