Chester Ismay
Chester Ismay

Instructor at DataCamp

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Albert Y. Kim
Albert Y. Kim

Instructor at DataCamp

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Course Description

This course is designed to supplement and build on the content covered at http://moderndive.com and the slides at http://bit.ly/soc301-slides. It assumes that you have completed the Introduction to R course on DataCamp.

  1. 1

    Applying R Basics

    Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Don’t Live In The Cities They Serve" article.

  2. 2

    Tidy Data

    Look into tidy data properties on data sets used in articles from fivethirtyeight.com in the fivethirtyeight R package

  3. 3

    Scatter-plots & Line-graphs

    Create and analyze different plots relating two numerical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

  4. 4

    Histograms & Boxplots

    Make and interpret different plots relating one categorical variable to one numerical variable via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

  5. 5

    Barplots

    Generate and examine barplots displaying one categorical variable or relationships between multiple categorical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package

  6. 6

    ggplot2 Review

    Identifying and creating the appropriate plot based on different types of variables using the ggplot2 package

  7. 7

    Filtering, Grouping, & Summarizing

    Choose a subset of rows and summarize a data frame in total and across different levels of other variables using the dplyr package

  8. 8

    dplyr Review

    Create a new column in a data frame, modify an existing column, and sort by one or more columns using the dplyr package. Review the main ideas of the Five Main Verbs of dplyr - filter, summarize, group_by, mutate, and arrange.

  9. 9

    Supplement to ModernDive textbook

    To supplement learning of the material covered at http://moderndive.com, this chapter provides a playground for you to work with the code and better understand what each of the gray chunks of R code throughout the book does.