Effective Data Storytelling using the tidyverse

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.

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

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

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

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

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

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

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.

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.