Our World Statistics Day conversations have been a great reminder of how much statistics can inform our lives. Do you have an example of how statistics has made a difference in your life? Share your story with the Community!
Related to mapping, Dan Carr presented some of his work on "micromaps." I have his book, Visualizing Data Patterns with Micromaps, but it was very helpful to see the presentation and talk with him afterward. Micromaps incorporate small maps into arrangements that allow multivariate data exploration. He defines several types of micromaps, and it occurred to me that JMP can already approximate the conditional micromaps in Graph Builder.
Here is a pseudo-micromap of Europe colored by Human Development Index (HDI) for each country. HDI is a development measure used by the United Nations that combines life expectancy, education and income. The grouping variables condition the maps and make it easier to see the relationships between the grouping variables, the coloring variables and the countries.
Each country appears in one panel. In this case, we can see that lower HDI appears to be correlated with lower GDP per capita since countries in the top three panels are generally bluish, and because it's a map, we can also see that those countries are in eastern Europe. I don't see a similar pattern going across, suggesting median age is not correlated with HDI.
My mock-up misses some key micromap features, including
simple, reduced detail maps
enlarged tiny countries
sliders to adjust the grouping categories
categorical coloring to simplify comparison
We hope to address those with a JMP add-in. Let us know if you have a particular interest in micromaps.