FavoriteLoadingBookmark this content

DataCamp – Exploratory Data Analysis in R: Case Study No ratings yet.

Link to Content:
DataCamp Exploratory Data Analysis in R Case Study

Created/Published/Taught by:
David Robinson
Nick Carchedi
Tom Jeon

Content Found Via:

Free? Partially: Some Free Content, Some Paid

Cost Range:
$0.00 - $29.00

Tags: / / / / /
Content Type: /

Difficulty Rating:

No ratings yet.

FromĀ DataCamp:

“Once you’ve started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chance to use them in action on a real dataset. You’ll explore the historical voting of the United Nations General Assembly, including analyzing differences in voting between countries, across time, and among international issues. In the process you’ll gain more practice with the dplyr and ggplot2 packages, learn about the broom package for tidying model output, and experience the kind of start-to-finish exploratory analysis common in data science.”

This course consists of four chapters:

  1. Data cleaning and summarizing with dplyr
  2. Data visualizations with ggplot2
  3. Tidy modeling with broom
  4. Joining and tidying

Recommended Prerequisites: not specified; some familiarity with R, specifically dplyr & ggplot2

Go to Content: DataCamp – Exploratory Data Analysis in R: Case Study