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Case Study: Exploratory Data Analysis in R

4.8+
15 reviews
Beginner

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

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4 Hours15 Videos58 Exercises
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Course Description

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.
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In the following Tracks

Data Manipulation with R

Go To Track
  1. 1

    Data cleaning and summarizing with dplyr

    Free

    The best way to learn data wrangling skills is to apply them to a specific case study. Here you'll learn how to clean and filter the United Nations voting dataset using the dplyr package, and how to summarize it into smaller, interpretable units.

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    The United Nations Voting Dataset
    50 xp
    Filtering rows
    100 xp
    Adding a year column
    100 xp
    Adding a country column
    100 xp
    Grouping and summarizing
    50 xp
    Summarizing the full dataset
    100 xp
    Summarizing by year
    100 xp
    Summarizing by country
    100 xp
    Sorting and filtering summarized data
    50 xp
    Sorting by percentage of "yes" votes
    100 xp
    Filtering summarized output
    100 xp
  2. 2

    Data visualization with ggplot2

    Once you've cleaned and summarized data, you'll want to visualize them to understand trends and extract insights. Here you'll use the ggplot2 package to explore trends in United Nations voting within each country over time.

    Play Chapter Now
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In the following Tracks

Data Manipulation with R

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Datasets

United Nations voting datasetTopic information for each country (Descriptions)

Collaborators

Collaborator's avatar
Nick Carchedi
Collaborator's avatar
Tom Jeon
David Robinson HeadshotDavid Robinson

Principal Data Scientist at Heap

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Don’t just take our word for it

*4.8
from 15 reviews
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  • Edmundo M.
    4 months

    This course has amazed me. The power of R through their packages Purrr, broom, dplyr, and ggplot2 to manipulate data frames and tidy tables becomes a reality in this course. The power to convert several columns (variables) into a nested dataframe for each row of the objects under analysis plus the map function to apply different transformations and functions in a couple of lines of code is just AMAZING. This course takes you to another level of exploratory data analysis with R. According to the instructor David Robinson, as if that were not enough, this is just the surface of what you can do with R.

  • Li D.
    5 months

    Great

  • Michael H.
    9 months

    This was my first case study and I really enjoyed it. I found it interesting and a great way to apply the skills I have learnt in other courses.

  • Neal S.
    about 1 year

    Good practical overview

  • Richard L.
    about 1 year

    Interesting course.

"Great"

Li D.

"This was my first case study and I really enjoyed it. I found it interesting and a great way to apply the skills I have learnt in other courses."

Michael H.

"Good practical overview"

Neal S.

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