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Case Study: Exploratory Data Analysis in R
4.9(48)56k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner case study offers an engaging opportunity to apply core R data manipulation and visualization tools to historical United Nations General Assembly voting data. It walks through a complete end-to-end exploratory analysis pipeline, highlighting historical trends across nations and international issues.
Who It's For
Beginner R users who have basic familiarity with data manipulation and want to practice real-world exploratory analysis on an authentic dataset.
Key Takeaways
- Data Manipulation & Viz: Practice utilizing key tidyverse packages like dplyr and ggplot2 to filter, aggregate, and visualize voting trends over time.
- Model Output Tidying: Learn to leverage the broom package to convert statistical model outputs into tidy data frames for easier analysis.
- End-to-End Workflow: Experience the full exploratory data analysis workflow common in professional data science projects.
About this course
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.
Price
Free
This course is free to enrol.
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