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Applied Data Visualization with R and ggplot2

Applied Data Visualization with R and ggplot2

By : Dr. Tania Moulik
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Applied Data Visualization with R and ggplot2

Applied Data Visualization with R and ggplot2

By: Dr. Tania Moulik

Overview of this book

Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you’ll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques. You’ll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you’ve grasped the basics, you’ll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You’ll also get to grips with plotting trends, correlations, and statistical summaries. By the end of this book, you’ll have created data visualizations that will impress your clients.
Table of Contents (6 chapters)
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Chapter 1:  Basic Plotting in ggplot2

The following are the activity solutions for this chapter.

Activity: Creating a Histogram and Explaining its Features

Steps for Completion:

  1. Use the template code Lesson1_student.R.

This is an empty code, wherein the libraries are already loaded. You will be writing your code here.
  1. Load the dataset temperature.csv from the directory data.
  2. Create the histogram for two cities (Vancouver and Miami) by using the command discussed previously.
  3. Once the histogram is ready, run the code.
  4. Analyze the two histograms by giving three points for each histogram, and two points of difference between the two.

Outcome:

Two histograms should be created and compared...

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Applied Data Visualization with R and ggplot2
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