John Hopkins University - Visualizing Data in the Tidyverse
- Offered byCoursera
Visualizing Data in the Tidyverse at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Visualizing Data in the Tidyverse at Coursera Highlights
- Earn a certificate from the university of Johns Hopkins upon completion of course.
- Flexible deadlines according to your schedule.
Visualizing Data in the Tidyverse at Coursera Course details
- Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what's going on in the data set. Similarly, once you've completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others. In this course we will cover what data visualization is and define some of the basic types of data visualizations.
- In this course you will learn about the ggplot2 R package, a powerful set of tools for making stunning data graphics that has become the industry standard. You will learn about different types of plots, how to construct effect plots, and what makes for a successful or unsuccessful visualization.
- In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course.
Visualizing Data in the Tidyverse at Coursera Curriculum
About This Course
Data Visualization Background
General Features of Plots
Plot Types
Histogram
Densityplot
Scatterplot
Barplot
Boxplot
Line Plots
Plot Basics Quiz
Choose the Right Type of Plot
Be Mindful When Choosing Colors
Label the Axes
Make Sure the Numbers Add Up
Make Sure the Numbers and Plots Make Sense Together
Make Comparisons Easy on Viewers
Use y-axes That Start at Zero
Keep It Simple
Good Plots Quiz
Three Questions You Should Ask
ggplot2 Basics
ggplot2 Background
Example Dataset: diamonds
Scatterplots: geom_point()
Aesthetics
Facets
Geoms
EDA Plots
Introduction to ggplot2 Quiz
Colors
Labels
Themes
Custom Theme
Legends
Scales
Coordinate Adjustment
Annotation
Vertical and Horizontal Lines
ggplot2 Customization Quiz
Tables
Tables
Tables in R
Getting the Data in Order
An Exploratory Table
Improving the Table Output
Annotating Your Table
Tables in R Quiz
ggrepel
directlabels
cowplot
patchwork
gganimate
ggplot2 Extensions Quiz
Case Studies
Case Study #1: Health Expenditures
Exploratory Data Analysis (EDA)
Q1: Relationship between coverage and spending?
Q2: Spending Across Geographic Regions?
Q3: Coverage and Spending Change Over Time?
Case Study #2: Firearms
Exploratory Data Analysis (EDA)
Q: Fatal Police Shootings and Legislation
Visualizing Data in the Tidyverse at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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