The primary purpose of this edition is to experiment with some advanced features of Observable Plot.

Facets

Facets producing small multiple charts were a fun one to start with. Faceting by year probably doesn't make the most sense, but I didn't have any other categories in this data.

Faceted Scatterplot

This is probably my favorite chart in this edition. It makes it easy to see what the longest/hardest hikes were each year, and makes comparing years easy to do at a glance.

Single Scatterplot

But it might also just be better as a single plot:

Waffle Plot

How about a waffle plot?

Cumulative Total

Cumulative total of hiking miles using window transforms:

Things I learned:

For small multiples charts, there are some considerations that need to be made when jamming this much infomation into a single page
- Axis labels needed to be re-worked
- This approach wouldn't work for many years of data. Imagine if I had been tracking for 20 or 30 years. I'd need to wrap the charts, or facet by multi-year time periods
It was still hard to find an effective way to display four dimensions (year, duration, time, and ascent) in a single chart
The transformations in Observable Plot are terse and powerful, but can be a little bit tricky to get the hang of
Observable Plot's waffle chart is a little bit buggy, as are tooltips on charts with window transforms