Find the complete course on edx.org <a href='https://www.edx.org/course/data-science-visualization-harvardx-ph125-2x'>here</a>.
In this course we introduce you to the basics of various data types.
Quantiles, Percentiles, and Boxplots
Quantile-Quantile Plots, Percentiles, Boxplots, Distribution of Female Heights
An overview of distributions and their characteristics
In this chapter we go over the normal distribution.
Robust Summaries with Outliers
dplyr, The Dot Placeholder, Group By, Sorting Data Tables
You'll learn how to make use of the powerful R package, ggplot2, for visualization
We will practice our dplyr skills by will be working with data from the survey collected by the United States National Center for Health Statistics (NCHS)
Exploring the gapminder dataset
Visualizing gapminder results with dplyr and ggplot
Data Visualization Principles - Part 1
Show the Data, Ease Comparisons - Use Common Axes, Consider Transformations, Ease Comparisons - Compared Visual Cues Should Be Adjacent
Data Visualization Principles - Part 2
Part 2 of data visualization principles exercises
Data Visualization Principles - Part 3
Part 3 of data visualization principles exercises