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ZIP herunterladen Herunterladen... Mehr aus diesem Repository Unified design foundations — design system architecture, tokens, component specs, visual principles, creative vision, figma integration, plus brand design system loader (66 real brands via DESIGN.md). Absorbs design, design-system, design-systems, design-principles, design-router, creative-vision, figma, design-md.
Render, summarize, and present markdown documents and structured content in multiple output modes
Ultra UI skill - combines Google's DESIGN.md spec (machine-readable design tokens) with the ui-ux-pro-max knowledge base (91 styles, 161 palettes, 73 font pairings, 161 products, 104 UX guidelines, 25 chart types). Generates lint-clean DESIGN.md files, validates token references and WCAG contrast, exports Tailwind/DTCG tokens, and diffs design systems version-over-version.
Verwandte Berufe SOC
Basierend auf der SOC-Berufsklassifikation
name d3 description D3.js data visualization — scales, axes, SVG rendering, force layouts, transitions, geo projections, and idiomatic React integration patterns layer domain-specialist category visualization triggers ["d3 chart","data visualization","svg chart","force layout","d3 scales","bar chart","line chart","scatter plot","d3 transition","d3 react"] inputs ["Data shape (array of objects, nested, time series)","Chart type (bar, line, scatter, force, geo, treemap, etc.)","Interaction requirements (tooltips, zoom, brush, drag)","Target framework (vanilla, React, Svelte)"] outputs ["Complete chart component with scales, axes, and rendering","Responsive SVG layout with proper viewBox handling","Transition and animation code","Accessibility attributes (aria-label, role, desc)"] linksTo ["react","animation","responsive-design","css-variables"] linkedFrom ["ui-ux-pro","design-systems"] preferredNextSkills ["animation","responsive-design"] fallbackSkills ["threejs"] riskLevel low memoryReadPolicy selective memoryWritePolicy selective sideEffects ["Adds d3 dependencies to project","May add SVG elements to DOM"]
D3.js Data Visualization Skill
Purpose
D3 (Data-Driven Documents) binds data to DOM elements and applies data-driven transformations. This skill covers idiomatic D3 v7 patterns, React integration (letting D3 handle math, React handle DOM), and production-quality chart architecture.
Key Concepts
D3's Role: Math, Not DOM
In modern apps, D3 should compute — scales, layouts, paths, projections — while the framework (React, Svelte) owns the DOM. Only use D3's DOM manipulation (select, append, enter/exit) in vanilla JS or when D3 transitions are essential.
D3 Responsibility Split:
D3 owns: Scales, axes generators, path generators, layouts, transitions
React owns: DOM rendering, event handling, state, lifecycle
Core Primitives
Primitive Purpose Example Scales Map data domain to visual range scaleLinear().domain([0, 100]).range([0, 500])Axes Generate tick marks and labels axisBottom(xScale).ticks(5)Shapes Generate SVG path strings line().x(d => xScale(d.date)).y(d => yScale(d.value))Layouts Compute positions from data forceSimulation(nodes).force('charge', forceManyBody())Selections Bind data to DOM elements selectAll('rect').data(data).join('rect')Transitions Animate between states select(el).transition().duration(300).attr('y', newY)
Workflow
Step 1: Define the Data Contract
Always type your data before building:
interface DataPoint {
date : Date ;
value : number ;
category : string ;
}
interface ChartDimensions
width
number
height
number
margin
top
number
right
number
bottom
number
left
number
function
useDimensions
margin : ChartDimensions ['margin' ]
ChartDimensions
innerWidth
number
innerHeight
number
const
800
const
400
return
innerWidth
left
right
innerHeight
top
bottom
Step 2: Build Scales import { scaleLinear, scaleTime, scaleBand, scaleOrdinal, extent, schemeTableau10 } from 'd3' ;
const yScale = scaleLinear ()
.domain ([0 , Math .max (...data.map (d =>value ))])
.range ([innerHeight, 0 ])
.nice ();
const xScale = scaleTime ()
.domain (extent (data, d =>date ) as [Date , Date ])
.range ([0 , innerWidth]);
const xBand = scaleBand<string >()
.domain (data.map (d =>category ))
.range ([0 , innerWidth])
.padding (0.2 );
const colorScale = scaleOrdinal<string >()
.domain (categories)
.range (schemeTableau10);
Step 3: React Integration Pattern (Recommended) import { useRef, useEffect, useMemo } from 'react' ;
import {
scaleLinear, scaleBand, axisBottom, axisLeft,
select, max, line, curveMonotoneX,
} from 'd3' ;
interface BarChartProps {
data : { label : string ; value : number }[];
width ?: number ;
height ?: number ;
}
export function BarChart ({ data, width = 600 , height = 400 }: BarChartProps ) {
const margin = { top : 20 , right : 20 , bottom : 40 , left : 50 };
const innerWidth = width - margin.left - margin.right ;
const innerHeight = height - margin.top - margin.bottom ;
const xScale = useMemo (
() => scaleBand<string >()
.domain (data.map (d =>label ))
.range ([0 , innerWidth])
.padding (0.2 ),
[data, innerWidth]
);
const yScale = useMemo (
() => scaleLinear ()
.domain ([0 , max (data, d =>value ) ?? 0 ])
.range ([innerHeight, 0 ])
.nice (),
[data, innerHeight]
);
const xAxisRef = useRef<SVGGElement >(null );
const yAxisRef = useRef<SVGGElement >(null );
useEffect (() => {
if (xAxisRef.current ) {
select (xAxisRef.current ).call (axisBottom (xScale));
}
if (yAxisRef.current ) {
select (yAxisRef.current ).call (axisLeft (yScale).ticks (5 ));
}
}, [xScale, yScale]);
return (
<svg
width ={width}
height ={height}
viewBox ={ `0 0 ${width } ${height }`}
role ="img"
aria-label ={ `Bar chart with ${data.length } items `}
>
<g transform ={ `translate (${margin.left },${margin.top })`}>
{/* Bars — React renders, D3 computes positions */}
{data.map(d => (
<rect
key ={d.label}
x ={xScale(d.label)}
y ={yScale(d.value)}
width ={xScale.bandwidth()}
height ={innerHeight - yScale (d.value )}
fill ="var(--color-primary, #6366f1)"
rx ={4}
>
<title > {`${d.label}: ${d.value}`}</title >
</rect >
))}
{/* Axes — D3 renders via refs (imperative) */}
<g ref =
Step 4: Line Chart with Transitions import { line, curveMonotoneX, select, transition } from 'd3' ;
function AnimatedLine ({
data,
xScale,
yScale,
}: {
data: DataPoint[];
xScale: d3.ScaleTime<number , number >;
yScale: d3.ScaleLinear<number , number >;
} ) {
const pathRef = useRef<SVGPathElement >(null );
const lineGenerator = useMemo (
() => line<DataPoint >()
.x (d =>xScale (d.date ))
.y (d =>yScale (d.value ))
.curve (curveMonotoneX),
[xScale, yScale]
);
const pathD = lineGenerator (data) ?? '' ;
useEffect (() => {
if (!pathRef.current ) return ;
const path = select (pathRef.current );
const length = path.node ()!.getTotalLength ();
path
.attr ('stroke-dasharray' , `${length} ${length} ` )
.attr ('stroke-dashoffset' , length)
.transition ()
.duration (800 )
.attr ('stroke-dashoffset' , 0 );
}, [pathD]);
return (
<path
ref ={pathRef}
d ={pathD}
fill ="none"
stroke ="var(--color-primary, #6366f1)"
strokeWidth ={2}
/>
Step 5: Force Layout import {
forceSimulation, forceLink, forceManyBody,
forceCenter, forceCollide, SimulationNodeDatum ,
} from 'd3' ;
interface Node extends SimulationNodeDatum {
id : string ;
group : number ;
}
interface Link {
source : string ;
target : string ;
value : number ;
}
function useForceLayout (nodes : Node [], links : Link [], width : number , height : number const [simulatedNodes, setSimulatedNodes] = useState<Node []>([]);
useEffect (() => {
const simulation = forceSimulation (nodes)
.force ('link' , forceLink<Node , Link >(links).id (d =>id ).distance (80 ))
.force ('charge' , forceManyBody ().strength (-200 ))
.force ('center' , forceCenter (width / 2 , height / 2 ))
.force ('collision' , forceCollide ().radius (20 ));
simulation.on ('tick' , () => {
setSimulatedNodes ([...simulation.nodes ()]);
});
return () => { simulation.stop (); };
}, [nodes, links, width, height]);
return simulatedNodes;
}
Step 6: Responsive Charts function useResizeObserver (ref : React .RefObject <HTMLDivElement >const [dimensions, setDimensions] = useState ({ width : 0 , height : 0 });
useEffect (() => {
const el = ref.current ;
if (!el) return ;
const observer = new ResizeObserver (entries =>const { width, height } = entries[0 ].contentRect ;
setDimensions ({ width, height });
});
observer.observe (el);
return () => observer.disconnect ();
}, [ref]);
return dimensions;
}
function ResponsiveChart ({ data }: { data: DataPoint[] } ) {
const containerRef = useRef<HTMLDivElement >(null );
const { width, height } = useResizeObserver (containerRef);
return (
<div ref ={containerRef} style ={{ width: '100 %', aspectRatio: '16 /9 ' }}>
{width > 0 && (
<BarChart data ={data} width ={width} height ={height} />
)}
</div >
Common Pitfalls
D3 fighting React for DOM control — Never use d3.select().append() inside React components for elements React should own. Use D3 for math only; let React render SVG elements. Exception: axes (use refs).Missing key prop on mapped SVG elements — D3's join() handles enter/update/exit, but React needs key. Always add unique keys to mapped <rect>, <circle>, etc.Not using viewBox — Hardcoded width/height without viewBox breaks responsive behavior. Always set viewBox and let CSS control the actual size.Forgetting .nice() on scales — Domain [0, 97] produces ugly axis ticks. .nice() rounds to [0, 100].Importing all of D3 — import * as d3 from 'd3' bundles ~500KB. Import specific modules: d3-scale, d3-shape, d3-axis.Transition memory leaks — D3 transitions on unmounted elements throw. Always clean up simulations and cancel transitions in useEffect cleanup.
Examples
Example 1: Dashboard Sparkline (Minimal) function Sparkline ({ data, width = 120 , height = 32 }: {
data: number [];
width?: number ;
height?: number ;
} ) {
const xScale = scaleLinear ().domain ([0 , data.length - 1 ]).range ([0 , width]);
const yScale = scaleLinear ().domain (extent (data) as [number , number ]).range ([height - 2 , 2 ]);
const pathD = line<number >()
.x ((_, i ) => xScale (i))
.y (d =>yScale (d))
.curve (curveMonotoneX)(data);
return (
<svg width ={width} height ={height} aria-label ="Sparkline trend" >
<path d ={pathD ?? ''} fill ="none" stroke ="currentColor" strokeWidth ={1.5} />
</svg >
Example 2: Donut Chart import { pie, arc, PieArcDatum } from 'd3' ;
function DonutChart ({ data }: { data: { label: string ; value: number }[] } ) {
const size = 200 ;
const radius = size / 2 ;
const innerRadius = radius * 0.6 ;
const pieGen = pie<{ label : string ; value : number }>().value (d =>value ).sort (null );
const arcGen = arc<PieArcDatum <{ label : string ; value : number }>>()
.innerRadius (innerRadius)
.outerRadius (radius)
.cornerRadius (4 )
.padAngle (0.02 );
return (
<svg width ={size} height ={size} viewBox ={ `0 0 ${size } ${size }`}>
<g transform ={ `translate (${radius },${radius })`}>
{pieGen(data).map((d, i) => (
<path
key ={d.data.label}
d ={arcGen(d) ?? ''}
fill ={schemeTableau10[i % 10 ]}
>
<title > {`${d.data.label}: ${d.data.value}`}</title >
</path >
))}
</g >
</svg >
Example 3: Geo/Map Projection import { geoMercator, geoPath, GeoPermissibleObjects } from 'd3' ;
const projection = geoMercator ()
.center ([-98 , 39 ])
.scale (800 )
.translate ([width / 2 , height / 2 ]);
const pathGenerator = geoPath ().projection (projection);
Best Practices
Tree-shake imports : import { scaleLinear } from 'd3-scale' not from 'd3'Memoize generators : Wrap useMemo around scale/line/arc generators that depend on data/dimensionsAccessibility : Add role="img", aria-label, <title> on SVG, <desc> for complex chartsColor : Use d3-scale-chromatic for perceptually uniform palettes; test with colorblindness simulatorsPerformance : For >10K elements, use Canvas (d3 can compute positions, draw to <canvas> instead of SVG) {xAxisRef}
transform
{
translate
0
innerHeight
<g ref ={yAxisRef} />
</g >
</svg >
