By pressing Continue you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.
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