👋 I am computer scientist researching intelligent and scalable visualization systems for biomedical data exploration. Harvard CS PhD '21.
viewof selectedPointIndices = createScatterplotView({ points, invalidation })
points = {// Create a random integer function
function getRandomNumber() {
return Math.random() * 2 - 1; // This will return a random number between -1 and 1
}
function getRandomInt(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
const points = [];
for (let i = 0; i < 100; i++) {
const x = getRandomNumber();
const y = getRandomNumber();
const fifthComponent = Math.floor(i / 10); // Every 10 points will have the same fifth component
points.push([x, y, 0, 0, fifthComponent]);
}
// const points3 = [
// [1, 1, 0, 0, 0],
// [2, 2, 0, 0, 0],
// [3, 3, 0, 0, 1],
// [4, 4, 0, 0, 1],
// [5, 5, 0, 0, 0],
// ];
return points;
}
/*
* Simple helper to create a dynamic viewof scatterplot based on:
* - https://observablehq.com/@radames/hello-regl-scatterplot
* - https://observablehq.com/@fil/hello-regl-scatterplot
*/
function createScatterplotView({
width = 600,
height = 340,
pointSize = 5,
pointColor = "#000000",
points = [[0, 0]],
backgroundColor = "#ffffff",
invalidation
} = {}) {
const canvas = document.createElement("canvas");
const scatterplot = createScatterplot({
canvas,
pointSize,
pointColor,
width,
height,
lassoOnLongPress: true,
backgroundColor,
showPointConnections: true,
pointConnectionSize: 2,
pointConnectionColor: "#FFFF00"
});
scatterplot.subscribe("select", ({ points }) => {
canvas.value = points;
canvas.dispatchEvent(new Event("input"));
});
// scatterplot.set({ pointColor: "white", showPointConnections: true, pointConnectionSize: 2, pointConnectionColor: "yellow"}); // color by the third value
scatterplot.draw(points);
invalidation?.then(() => scatterplot.destroy());
return canvas;
}
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