Data visualization software enginner: working to make visualization more accessible, equitable, and impactful.
Published
Edited
Mar 31, 2021
19 stars
// Input path data for the table
path_data = [
{
command: "M",
description: "Move to (absolute)",
x: 125,
y: 100,
x1: "NA",
x2: "NA",
y1: "NA",
y2: "NA"
},
{
command: "L",
description: "Line to (absolute)",
x: 150,
y: 100,
x1: "NA",
x2: "NA",
y1: "NA",
y2: "NA"
},
{
command: "m",
description: "Move to (relative)",
x: 60,
y: 0,
x1: "NA",
x2: "NA",
y1: "NA",
y2: "NA"
},
{
command: "l",
description: "Line to (relative)",
x: 25,
y: 0,
x1: "NA",
x2: "NA",
y1: "NA",
y2: "NA"
},
{
command: "m",
description: "Move to (relative)",
x: -100,
y: 100,
x1: "NA",
x2: "NA",
y1: "NA",
y2: "NA"
},
{
command: "C",
description: "Curve to (absolute)",
x: 225,
y: 200,
x1: 150,
y1: 250,
x2: 200,
y2: 250
},
{
command: "M",
description: "Move to (absolute)",
x: 175,
y: 175,
x1: "NA",
y1: "NA",
x2: "NA",
y2: "NA"
},
{
command: "c",
description: "Curve to (relative)",
x: 4.5,
y: -70,
x1: 70,
y1: -15,
x2: 2,
y2: -20
}
]
// Creating the path from the input table
path = path_table
.map(d =>
d.command.toLowerCase() === "c"
? `${d.command} ${d.x1} ${d.y1}, ${d.x2} ${d.y2}, ${d.x} ${d.y}`
: `${d.command} ${d.x} ${d.y}`
)
.join(" ")
pathUI = () => {
let lx = 0, ly = 0;
const segments = [];
// Note: Doesn't handle H/h/V/v.
for(const {command: c, x, y} of path_table) c.match(/^[a-z]$/)
? segments.push({x1: lx, y1: ly, x2: lx += x, y2: ly += y})
: segments.push({x1: lx, y1: ly, x2: lx = x, y2: ly = y});
let seg = '';
if(selected != null) {
const {x1, y1} = segments[selected],
d = path_table[selected],
cmd = d.command,
cmdVis = cmd === 'm' ? 'l' : cmd === 'M' ? 'L' : cmd,
path = cmd === 'c' || cmd === 'C'
? `${cmd} ${d.x1} ${d.y1}, ${d.x2} ${d.y2}, ${d.x} ${d.y}`
: `${cmdVis} ${d.x} ${d.y}`;
seg = DOM.element('svg:path', {
d: `M${x1},${y1}${path}`,
stroke: '#c30771',
'stroke-width': 4,
'stroke-dasharray': cmd !== cmdVis ? '4,4' : '',
fill: 'none'
});
}
const path = `M0,0${segments.map(({x2,y2}, i)=>`${i === selected ? 'M' : 'L'}${x2},${y2}`)}`;
return svg`<g>
<path d="${path}" stroke="#c3077188" stroke-dasharray="4,4" stroke-width=1 fill="none" />
${seg}
`;
}
import { code_styles } from "@uw-info474/utilities"
code_styles
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.