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Plotting Classic Literature Readability Scores with R

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Lab Info
Level
Intermediate
Last updated
Mar 04, 2025
Duration
3h 36m

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Table of Contents
  1. Challenge

    Plotting Popular Authors' Readability Statistics

    Overview

    In this challenge we'll create a visualization that presents data about the readability of the top ten authors.

    The data set provided for this module is separated into two main CSV files - one called titles.csv, and the other called stats.csv. Each file was created using data compiled from Project Gutenberg.

    This data has been joined together and is stored in a variable called books.

    We will filter the books data frame to only include the works of the top ten authors and then plot it using the ggplot2 package.

    We will use the tidyverse collection of packages. For more on the tidyverse and its opinionated design philosophy, grammar, and data structures see Tidyverse. ### Solution The solution can be found in the solution directory.

About the author

Tom is a staff author at Pluralsight helping to develop Hands-On content. Tom's background in software development, UI/UX, and instructional design was developed over the years while working as a faculty member at the School of Computing at Weber State University in Utah, and continues to grow as he develops Projects and Labs for Pluralsight. When he's not creating content to allow learners to gain real-life experience, he enjoys spending time with his family.

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