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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.
Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Donâ€™t Live In The Cities They Serve" article.
Create and analyze different plots relating two numerical variables 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
Choose a subset of rows and summarize a data frame in total and across different levels of other variables using the dplyr package
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.
Look into tidy data properties on data sets used in articles from fivethirtyeight.com in 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
Identifying and creating the appropriate plot based on different types of variables using the ggplot2 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.
Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Donâ€™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.
â€śI've used other sites, but DataCamp's been the one that I've stuck with.â€ť
Devon Edwards Joseph
Lloyd's Banking Group
â€śDataCamp is the top resource I recommend for learning data science.â€ť
Louis Maiden
Harvard Business School
â€śDataCamp is by far my favorite website to learn from.â€ť
Ronald Bowers
Decision Science Analytics @ USAA