Everything else is ready: study the parts, the key terms and the quiz below.
Pair Plots and Correlation Heatmaps
Screen several relationships while keeping the units, groups and sample size visible.
In this lesson5 parts
- 01Declare the rows and columns before exploring
- 02Build a pair plot from a display sample
- 03Add sparse monetary fields without hiding their zeros
- 04Compute and read the correlation matrix
- 05Choose a follow-up and reproduce the scan
Key terms
The words this lesson introduces, each in one line. The module’s glossary collects them all.
- validation partition
- Rows excluded from this lesson's exploratory calculation and later model fitting.
- off-diagonal panel
- One pair of different variables in a pair plot.
- pair plot
- A grid of pairwise plots with one-variable distributions on the diagonal.
- sparse values
- Many recorded zeros with fewer nonzero entries.
- correlation matrix
- A table of pairwise correlation coefficients. It is symmetric, with ones on the diagonal.
- heatmap
- A matrix whose cell color encodes its numeric value.
Quiz 5 questions
Your first pick on each question is the one that counts, and a right one earns a coin. Getting one wrong here is how the lesson sticks.
Practice
Problems to solve in your own notebook. Each states the problem, not the steps: working out the steps is the exercise. Level A applies the lesson, B combines it with earlier ones, C stretches it.
The self-checking notebook for this lesson is Stats 1.6 and 1.10 · Association in the census records.
Common mistakes
What you will see when it goes wrong, why it happens, and the fix.
Where it’s used
Where this lesson’s ideas turn up in real work.