It’s often fun to explore time series data, because much of it is inherently intuitive. We have a sense of how time passes and how things change. From a visualization perspective, we can see the magnitude of that change and communicate to others in a way that is easier to process.
One week. Or, fit it all in on a weekend and get back to work.
Get you charting time series data as quickly as possible. Cover the basics first and then move into more advanced things like animation.
How to Get the Most Out of This
The course is structured for roughly 8 to 10 hours in a week, depending on how much time you want to spend with each section. Go through section-by-section to start from basics and work towards more advanced visualization.
When you work through a tutorial, download the source first and follow along rather than entering every snippet in R. For simple examples, it’s easy to copy and paste code, but when you get into more complex examples it’s easy to enter typos or get the code structure mixed up. Here’s what code will look like through the course, which is typically a cue to enter something in R:
# This is code. paste("hello", "world")
Install and setup R in a few easy steps.
Basic Chart Types
Quick charts. Very little code.
Categorical Time Series Charts
Compare multiple time series at once to see differences and similarities between categories and groups.
Maybe you want to see more than one thing in a single view over time.
Make it move.
Adjusting for Presentation
For when you want to communicate what you found to others. This requires more care and polish than making charts just for yourself.
Don’t get stuck in time.