fix(deps): update dependency @observablehq/plot to v0.6.16

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This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
@observablehq/plot	0.6.15 -> 0.6.16

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Release Notes

observablehq/plot (@​observablehq/plot)

### [`v0.6.16`](https://togithub.com/observablehq/plot/blob/HEAD/CHANGELOG.md#0616) [Compare Source](https://togithub.com/observablehq/plot/compare/v0.6.15...v0.6.16) [Released August 6, 2024.](https://togithub.com/observablehq/plot/releases/tag/v0.6.16) The new [waffle mark](https://observablehq.com/plot/marks/waffle) 🧇 displays a quantity (or quantitative extent) for a given category; unlike a [bar](https://observablehq.com/plot/marks/bar), a waffle is subdivided into cells that allow easier counting, making waffles useful for reading and comparing exact quantities. Plot’s waffle mark is highly configurable: it supports stacking, positive and negative values, rounded corners, partial cells for fractional counts, automatic row or column size determination (with optional override), and more! [](https://observablehq.com/plot/marks/waffle) ```js Plot.plot({ fx: {interval: 10}, color: {legend: true}, marks: [Plot.waffleY(olympians, Plot.groupZ({y: "count"}, {fill: "sex", sort: "sex", fx: "weight", unit: 10}))] }) ``` All marks now support GeoJSON data and GeoJSON property shorthand, making it easier to work with GeoJSON. For example, below the data `counties` is a GeoJSON FeatureCollection, and `unemployment` refers to a property on each feature; the **fill** option is thus shorthand for `(d) => d.properties.unemployment`. The [geo mark](https://observablehq.com/plot/marks/geo) now also supports the **tip** option (via an implicit [centroid transform](https://observablehq.com/plot/transforms/centroid)), making it easier to use Plot’s [interactive tooltips](https://observablehq.com/plot/interactions/pointer). [](https://observablehq.com/plot/marks/geo) ```js Plot.plot({ projection: "albers-usa", color: { type: "quantile", n: 9, scheme: "blues", label: "Unemployment (%)", legend: true }, marks: [ Plot.geo(counties, { fill: "unemployment", title: (d) => `${d.properties.name} ${d.properties.unemployment}%`, tip: true }) ] }) ``` All marks now also support column name channel shorthand when using Apache Arrow tables as data, and we’ve added detection of Arrow date-type columns. (Arrow represents temporal data using BigInt rather than Date.) ```js Plot.dot(gistemp, {x: "Date", y: "Anomaly"}).plot() // gistemp is an Arrow Table! ``` The rect-like marks ([rect](https://observablehq.com/plot/marks/rect), [bar](https://observablehq.com/plot/marks/bar), [cell](https://observablehq.com/plot/marks/cell), and [frame](https://observablehq.com/plot/marks/frame)) now support individual rounding options for each side (**rx1**, **ry1**, *etc.*) and corner (**rx1y1**, **rx2y1**, *etc.*). This allows you to round just the top side of rects. You can even use a negative corner radius on the bottom side for seamless stacking, as in the histogram of Olympic athletes below. [](https://observablehq.com/plot/marks/rect) ```js Plot.plot({ color: {legend: true}, marks: [ Plot.rectY(olympians, Plot.binX({y: "count"}, {x: "weight", fill: "sex", ry2: 4, ry1: -4, clip: "frame"})), Plot.ruleY([0]) ] }) ``` Plot now respects the projection **domain** when determining the default plot height. Previously, the map below would use a default square aspect ratio for the *conic-conformal* projection regardless of the specified **domain**, but now the map is perfectly sized to fit North Carolina. (Plot also now chooses a smarter default plot height when the ordinal *y* scale domain is empty.) ```js Plot.plot({ projection: {. type: "conic-conformal", parallels: [34 + 20 / 60, 36 + 10 / 60], rotate: [79, 0], domain: state }, marks: [ Plot.geo(counties, {strokeOpacity: 0.2}), Plot.geo(state) ] }) ``` The [marker options](https://observablehq.com/plot/features/markers) now render as intended on marks with varying aesthetics, such as the spiraling arrows of varying thickness and color below. ```js Plot.plot({ inset: 40, axis: null, marks: [ Plot.line(d3.range(400), { x: (i) => i * Math.sin(i / 100 + ((i % 5) * 2 * Math.PI) / 5), y: (i) => i * Math.cos(i / 100 + ((i % 5) * 2 * Math.PI) / 5), z: (i) => i % 5, stroke: (i) => -i, strokeWidth: (i) => i ** 1.1 / 100, markerEnd: "arrow" }) ] }) ``` This release includes a few more new features, bug fixes, and improvements: The new **className** [mark option](https://observablehq.com/plot/features/marks#mark-options) specifies an optional `class` attribute for rendered marks, allowing styling of marks via external stylesheets or easier selection via JavaScript; thanks, [@​RLesser](https://togithub.com/RLesser)! Plot now reuses `clipPath` elements, when possible, when the **clip** mark option is set to *frame* or *projection*. The [difference mark](https://observablehq.com/plot/marks/difference) now supports a horizontal orientation via [differenceX](https://observablehq.com/plot/marks/difference#differenceX), and the [shift transform](https://observablehq.com/plot/transforms/shift) now likewise supports [shiftY](https://observablehq.com/plot/transforms/shift#shiftY). The [Voronoi mark](https://observablehq.com/plot/marks/delaunay) is now compatible with the pointer transform: only the pointed Voronoi cell is rendered; the Voronoi mark now also renders as intended with non-exclusive facets (as when using the *exclude* facet mode). The [tip mark](https://observablehq.com/plot/marks/tip) no longer displays channels containing literal color values by default.

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