Histogram with tooltips in Observable Plot#

Implementing this in Observable Plot#

The higher level Observable Plot library provides binning. Here’s the recipe I figured out for generating a histogram with that, in my Histogram of my tweets over time notebook:

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Plot.plot({
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  y: {
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    grid: true
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  },
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  marks: [Plot.rectY(tweets, Plot.binX({ y: "count" }, { x: "created_at" }))]
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})

It turns out that while d3 uses Sturges’ formula Observable Plot instead uses Scott’s rule:

D3 chose Sturges’ formula because it was the popular choice (at the time) but Observable Plot defaults to Scott’s rule, with a max of 200 bins, which tends to perform better. Related: https://robjhyndman.com/papers/sturges.pdf

Mike Bostock - @mbostock

Adding tooltips#

I wanted to add tooltips to the above chart. This was the hardest part to figure out - it turns out that second argument to .binX() can take a title option, which can be a function that accepts a bin array of items and returns a title.

UPDATE 27th January 2022: The below code example no longer works - the bin argument passed to the title: function used to be a list of items in that bin, but now appears to just be a single item.

This is what I ended up using:

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Plot.plot({
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  y: {
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    grid: true
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  },
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  marks: [
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    Plot.rectY(
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      tweets,
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      Plot.binX(
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        { y: "count" },
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        {
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          x: "created_at",
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          title: bin => {
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            let sorted = [...Array.from(bin).map(t => t.created_at)].sort();
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            let min = sorted[0];
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            let max = sorted.slice(-1)[0];
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            let count = sorted.length;
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            return `${sorted.length} item${
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              sorted.length == 0 ? '' : 's'
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            }\nFrom: ${min}\nTo: ${max}`;
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          }
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        }
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      )
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    )
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  ]
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})

• [...bin.map(t => t.created_at)].sort() is a recipe for creating a sorted copy of an array of values
• max = sorted.slice(-1)[0] gets the last item in that array

Then I compose and return the string.

Here’s my Twitter thread where I figured this out.