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Exploratory Data Analysis for the Public Sector with ggplot
  • Level Professional
  • Duration 18 hours
  • Course by University of Michigan
  • Offered by

About

Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots. These skills are enhanced with lessons on best practices for good information visualization design. Upon completing this course, you will understand the layered grammar of graphics and its implementation in ggplot2, all while exploring a diverse set of authentic public datasets. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the second of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early-career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.

Modules

Welcome to Exploratory Data Analytics for Public Administration

    • 1 Videos
    • 3 Readings
    • 1 Discussion
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1 Discussions

  • Meet Your Fellow Learners

1 Videos

  • Introduction to Course 2: Exploratory Data Analysis with ggplot2

3 Readings

  • Course Syllabus
  • Course Glossary of Terms
  • Help Us Learn About You

RStudio Lab

    • 1 Lab
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1 Labs

  • RStudio

Data Visualization in R with ggplot2

    • 7 Videos
    • 3 Assignment
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3 Assignment

  • Factors in R: Practice & Knowledge Check
  • Drawing a with ggplot in R: Practice & Knowledge Check
  • Exploring ggplot in R: Practice & Knowledge Check

7 Videos

  • A Layered Grammar of Graphics
  • Factors in R
  • Our First ggplot Plot
  • Our First ggplot Plot: A little more Aesthetic
  • Exploring ggplot
  • Line Plots
  • The Power of Data Visualization for Public Administration

Week 1 Wrap-Up

    • 1 Videos
    • 3 Readings
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Week 1 Assignment Check

1 External Tool

  • Submit Week 1 Assignment

1 Videos

  • One More Thing for this Week: Case Study of EDA of a Disturbing Trend

3 Readings

  • Week 1 Assignment: Data Visualization in R with ggplot2
  • R Code Solution for Week 1 Assignment: Data Visualization in R with ggplot2
  • Week 1 Optional Readings & Resources

The Importance of EDA for the Core Principle of Equity

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • EDA & Equity Knowledge Check

3 Videos

  • Equity as a Core Principle of Public Administration
  • Example: Digital Equity
  • The Importance of Equity in Public Health: Interview with Dr. Joneigh Khaldun

Understanding Frequencies and Distributions

    • 6 Videos
    • 3 Assignment
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3 Assignment

  • Trendlines in R: Practice & Knowledge Check
  • Histograms in R: Practice & Knowledge Check
  • Population Pyramids in R: Practice & Knowledge Check

6 Videos

  • Trendlines: the Basics
  • Trendlines: Understanding Trends & Going Further with Them
  • Distributions and Histograms: Getting Started
  • A Deep Dive into Histograms
  • Making a Population Pyramid: The Base
  • Improving the Visuals of a Population Pyramid

Week 2 Wrap-Up

    • 3 Readings
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Week 2 Assignment Check

1 External Tool

  • Submit Week 2 Assignment

3 Readings

  • Week 2 Assignment: Fundamentals of Exploratory Data Analysis
  • R Code Solution for Week 2 Assignment
  • Week 2 Optional Readings & Resources

Visualizations of Distributions & Week 3 Wrap-Up

    • 5 Videos
    • 2 Assignment
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2 Assignment

  • Boxplots in R: Practice & Knowledge Check
  • Violin & Ridgeplots in R: Practice & Knowledge Check

5 Videos

  • Let's go Fishing!
  • Boxplots
  • Boxplots: Increasing Variables
  • Violin Plots
  • Ridgeplots

Communication Principles and Skills

    • 2 Videos
    • 1 Discussion
    • 1 Plugin
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1 Discussions

  • Share the Worst Data Visualization you Came Across

2 Videos

  • Beware: Misleading Data Visualization
  • Communication Principles for Data Analysts

The Design of Visual Information

    • 8 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Small Multiples in R: Practice & Knowledge Check

1 Discussions

  • Must a visual be enlightening?

8 Videos

  • Introduction to Design of Visual Information
  • Graphical heuristics: Data-ink ratio (Edward Tufte)
  • Graphical heuristics: Chart junk (Edward Tufte)
  • Graphical heuristics: Lie Factor and Spark Lines (Edward Tufte)
  • The Truthful Art (Alberto Cairo)
  • Tools for Thinking about Design
  • Small Multiples
  • SPLOMs

Week 4 Wrap-Up

    • 2 Videos
    • 3 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Week 4 Assignment Check

1 External Tool

  • Submit Week 4 Assignment

2 Videos

  • One More Thing for This Week!: World Data Visualization Prize in 2019
  • Congratulations on Completing the Course!

3 Readings

  • Week 4 Assignment: Best Practices for Data Visualization
  • Week 4 Optional Readings & Resources
  • Course Survey

Auto Summary

Explore the core pillars of public administration through statistical Exploratory Data Analysis (EDA) in this engaging course. Learn R programming and master the ggplot2 library to create insightful visualizations like bar, line, and scatter charts. Enhance your technical skills and best practices in information visualization design. Perfect for current or aspiring public sector professionals, this 1080-minute course by Coursera offers Starter and Professional subscription options. Dive into public datasets and elevate your data analysis expertise with RStudio, no extra software required.

Christopher Brooks
Instructors

Christopher Brooks

Paula Lantz
Instructors

Paula Lantz