Data visualization software enginner: working to make visualization more accessible, equitable, and impactful.
Plot.plot({
marks: [
Plot.dot(data, {
x: "bill_length",
y: "bill_depth",
title: (d) =>
`${d.island} \n bill depth: ${d.bill_depth} \n bill length: ${d.bill_length}` // \n makes a new line
})
]
})
Plot.plot({
marks: [
Plot.dot(data, {
x: "bill_length",
y: "bill_depth",
title: (d) =>
`${d.island} \n bill depth: ${d.bill_depth} \n bill length: ${d.bill_length}` // \n makes a new line
})
],
tooltip: {
fill: "red",
stroke: "blue",
r: 8
}
})
// Pass any plot to addTooltips -- just set the `title` attribute for your marks!
addTooltips(
Plot.dot(data, {
x: "bill_length",
y: "bill_depth",
title: (d) =>
`${d.island} \n bill depth: ${d.bill_depth} \n bill length: ${d.bill_length}` // \n makes a new line
}).plot()
)
addTooltips(
Plot.rectY(
data,
Plot.binX(
{ y: "count", title: (elems) => `${elems.length} rows` },
{ x: "body_mass", thresholds: 20 }
)
).plot(),
// Set styles for the hovered element
{ fill: "gray", opacity: 0.5, "stroke-width": "3px", stroke: "red" }
)
addTooltips(
Plot.dot(
data,
Plot.binX(
{ y: "count", title: (elems) => `${elems.length} rows` },
{ x: "body_mass", thresholds: 20 }
)
).plot(),
// Set styles for the hovered element
{ fill: "gray", opacity: 0.5, "stroke-width": "3px", stroke: "red" }
)
addTooltips(
Plot.barX(data, {
x: "body_mass",
fill: "island",
title: (d) => d.island + "\n" + d.bill_length
}).plot({
// caption: "test",
style: { paddingTop: 30 },
width
})
)
addTooltips(
Plot.plot({
y: {
label: "↑ Unemployed (thousands)"
},
marks: [
Plot.areaY(
unemployment,
Plot.stackY({
x: "date",
y: "unemployed",
fill: "industry",
z: "industry",
title: "industry",
order: "max",
reverse: true,
stroke: "#ddd"
})
),
Plot.ruleY([0])
],
style: {
pointerEvents: "all"
},
color: {
legend: true,
columns: "110px",
width: 640
}
})
)
addTooltips(
Plot.plot({
y: {
label: "↑ Unemployed (thousands)"
},
marks: [
Plot.line(unemployment, {
x: "date",
y: "unemployed",
stroke: 'lightgrey',
z: "industry",
title: "industry"
}),
Plot.ruleY([0])
]
}),
)
import { data as brandData } from "@observablehq/plot-cheatsheets-marks"
addTooltips(
Plot.plot({
marks: [
Plot.cell(brandData, {
x: "date",
y: "brand",
fill: "value",
title: "value"
})
],
color: { scheme: "blues", legend: true, reverse: false },
marginLeft: 100,
x: { tickFormat: null },
width: 578
})
)
addTooltips = (chart, styles) => {
const stroke_styles = { stroke: "blue", "stroke-width": 3 };
const fill_styles = { fill: "blue", opacity: 0.5 };
// Workaround if it's in a figure
const type = d3.select(chart).node().tagName;
let wrapper =
type === "FIGURE" ? d3.select(chart).select("svg") : d3.select(chart);
// Workaround if there's a legend....
const svgs = d3.select(chart).selectAll("svg");
if (svgs.size() > 1) wrapper = d3.select([...svgs].pop());
wrapper.style("overflow", "visible"); // to avoid clipping at the edges
// Set pointer events to visibleStroke if the fill is none (e.g., if its a line)
wrapper.selectAll("path").each(function (data, index, nodes) {
// For line charts, set the pointer events to be visible stroke
if (
d3.select(this).attr("fill") === null ||
d3.select(this).attr("fill") === "none"
) {
d3.select(this).style("pointer-events", "visibleStroke");
if (styles === undefined) styles = stroke_styles;
}
});
if (styles === undefined) styles = fill_styles;
const tip = wrapper
.selectAll(".hover")
.data([1])
.join("g")
.attr("class", "hover")
.style("pointer-events", "none")
.style("text-anchor", "middle");
// Add a unique id to the chart for styling
const id = id_generator();
// Add the event listeners
d3.select(chart).classed(id, true); // using a class selector so that it doesn't overwrite the ID
wrapper.selectAll("title").each(function () {
// Get the text out of the title, set it as an attribute on the parent, and remove it
const title = d3.select(this); // title element that we want to remove
const parent = d3.select(this.parentNode); // visual mark on the screen
const t = title.text();
if (t) {
parent.attr("__title", t).classed("has-title", true);
title.remove();
}
// Mouse events
parent
.on("pointerenter pointermove", function (event) {
const text = d3.select(this).attr("__title");
const pointer = d3.pointer(event, wrapper.node());
if (text) tip.call(hover, pointer, text.split("\n"));
else tip.selectAll("*").remove();
// Raise it
d3.select(this).raise();
// Keep within the parent horizontally
const tipSize = tip.node().getBBox();
if (pointer[0] + tipSize.x < 0)
tip.attr(
"transform",
`translate(${tipSize.width / 2}, ${pointer[1] + 7})`
);
else if (pointer[0] + tipSize.width / 2 > wrapper.attr("width"))
tip.attr(
"transform",
`translate(${wrapper.attr("width") - tipSize.width / 2}, ${
pointer[1] + 7
})`
);
})
.on("pointerout", function (event) {
tip.selectAll("*").remove();
// Lower it!
d3.select(this).lower();
});
});
// Remove the tip if you tap on the wrapper (for mobile)
wrapper.on("touchstart", () => tip.selectAll("*").remove());
// Define the styles
chart.appendChild(html`<style>
.${id} .has-title { cursor: pointer; pointer-events: all; }
.${id} .has-title:hover { ${Object.entries(styles).map(([key, value]) => `${key}: ${value};`).join(" ")} }`);
return chart;
}
// Function to position the tooltip
hover = (tip, pos, text) => {
const side_padding = 10;
const vertical_padding = 5;
const vertical_offset = 15;
// Empty it out
tip.selectAll("*").remove();
// Append the text
tip
.style("text-anchor", "middle")
.style("pointer-events", "none")
.attr("transform", `translate(${pos[0]}, ${pos[1] + 7})`)
.selectAll("text")
.data(text)
.join("text")
.style("dominant-baseline", "ideographic")
.text((d) => d)
.attr("y", (d, i) => (i - (text.length - 1)) * 15 - vertical_offset)
.style("font-weight", (d, i) => (i === 0 ? "bold" : "normal"));
const bbox = tip.node().getBBox();
// Add a rectangle (as background)
tip
.append("rect")
.attr("y", bbox.y - vertical_padding)
.attr("x", bbox.x - side_padding)
.attr("width", bbox.width + side_padding * 2)
.attr("height", bbox.height + vertical_padding * 2)
.style("fill", "white")
.style("stroke", "#d3d3d3")
.lower();
}
// To generate a unique ID for each chart so that they styles only apply to that chart
id_generator = () => {
var S4 = function () {
return (((1 + Math.random()) * 0x10000) | 0).toString(16).substring(1);
};
return "a" + S4() + S4();
}
// automatically add tooltips to every Plot in a notebook
// this allows users to do import { Plot } from "@mkfreeman/plot-tooltip
Plot = tooltipPlugin(await require("@observablehq/plot"))
tooltipPlugin = (Plot) => {
const { plot } = Plot;
Plot.plot = ({ tooltip, ...options }) => addTooltips(plot(options), tooltip);
return Plot;
}
import { data } from "@observablehq/plot-exploration-penguins"
import { unemployment } from "@zanarmstrong/highlight-color-w-dropdown"
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Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
