Fix: Ensure all skills are tracked as files, not submodules

This commit is contained in:
sck_0
2026-01-14 18:48:48 +01:00
parent 7f46ed8ca1
commit 8bd204708b
1113 changed files with 82065 additions and 2 deletions

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import { useEffect, useRef, useState } from 'react';
import * as d3 from 'd3';
function BasicChart({ data }) {
const svgRef = useRef();
useEffect(() => {
if (!data || data.length === 0) return;
// Select SVG element
const svg = d3.select(svgRef.current);
svg.selectAll("*").remove(); // Clear previous content
// Define dimensions and margins
const width = 800;
const height = 400;
const margin = { top: 20, right: 30, bottom: 40, left: 50 };
const innerWidth = width - margin.left - margin.right;
const innerHeight = height - margin.top - margin.bottom;
// Create main group with margins
const g = svg.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
// Create scales
const xScale = d3.scaleBand()
.domain(data.map(d => d.label))
.range([0, innerWidth])
.padding(0.1);
const yScale = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)])
.range([innerHeight, 0])
.nice();
// Create and append axes
const xAxis = d3.axisBottom(xScale);
const yAxis = d3.axisLeft(yScale);
g.append("g")
.attr("class", "x-axis")
.attr("transform", `translate(0,${innerHeight})`)
.call(xAxis);
g.append("g")
.attr("class", "y-axis")
.call(yAxis);
// Bind data and create visual elements (bars in this example)
g.selectAll("rect")
.data(data)
.join("rect")
.attr("x", d => xScale(d.label))
.attr("y", d => yScale(d.value))
.attr("width", xScale.bandwidth())
.attr("height", d => innerHeight - yScale(d.value))
.attr("fill", "steelblue");
// Optional: Add axis labels
g.append("text")
.attr("class", "axis-label")
.attr("x", innerWidth / 2)
.attr("y", innerHeight + margin.bottom - 5)
.attr("text-anchor", "middle")
.text("Category");
g.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("x", -innerHeight / 2)
.attr("y", -margin.left + 15)
.attr("text-anchor", "middle")
.text("Value");
}, [data]);
return (
<div className="chart-container">
<svg
ref={svgRef}
width="800"
height="400"
style={{ border: '1px solid #ddd' }}
/>
</div>
);
}
// Example usage
export default function App() {
const sampleData = [
{ label: 'A', value: 30 },
{ label: 'B', value: 80 },
{ label: 'C', value: 45 },
{ label: 'D', value: 60 },
{ label: 'E', value: 20 },
{ label: 'F', value: 90 }
];
return (
<div className="p-8">
<h1 className="text-2xl font-bold mb-4">Basic D3.js Chart</h1>
<BasicChart data={sampleData} />
</div>
);
}

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import { useEffect, useRef, useState } from 'react';
import * as d3 from 'd3';
function InteractiveChart({ data }) {
const svgRef = useRef();
const tooltipRef = useRef();
const [selectedPoint, setSelectedPoint] = useState(null);
useEffect(() => {
if (!data || data.length === 0) return;
const svg = d3.select(svgRef.current);
svg.selectAll("*").remove();
// Dimensions
const width = 800;
const height = 500;
const margin = { top: 20, right: 30, bottom: 40, left: 50 };
const innerWidth = width - margin.left - margin.right;
const innerHeight = height - margin.top - margin.bottom;
// Create main group
const g = svg.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
// Scales
const xScale = d3.scaleLinear()
.domain([0, d3.max(data, d => d.x)])
.range([0, innerWidth])
.nice();
const yScale = d3.scaleLinear()
.domain([0, d3.max(data, d => d.y)])
.range([innerHeight, 0])
.nice();
const sizeScale = d3.scaleSqrt()
.domain([0, d3.max(data, d => d.size || 10)])
.range([3, 20]);
const colourScale = d3.scaleOrdinal(d3.schemeCategory10);
// Add zoom behaviour
const zoom = d3.zoom()
.scaleExtent([0.5, 10])
.on("zoom", (event) => {
g.attr("transform", `translate(${margin.left + event.transform.x},${margin.top + event.transform.y}) scale(${event.transform.k})`);
});
svg.call(zoom);
// Axes
const xAxis = d3.axisBottom(xScale);
const yAxis = d3.axisLeft(yScale);
const xAxisGroup = g.append("g")
.attr("class", "x-axis")
.attr("transform", `translate(0,${innerHeight})`)
.call(xAxis);
const yAxisGroup = g.append("g")
.attr("class", "y-axis")
.call(yAxis);
// Grid lines
g.append("g")
.attr("class", "grid")
.attr("opacity", 0.1)
.call(d3.axisLeft(yScale)
.tickSize(-innerWidth)
.tickFormat(""));
g.append("g")
.attr("class", "grid")
.attr("opacity", 0.1)
.attr("transform", `translate(0,${innerHeight})`)
.call(d3.axisBottom(xScale)
.tickSize(-innerHeight)
.tickFormat(""));
// Tooltip
const tooltip = d3.select(tooltipRef.current);
// Data points
const circles = g.selectAll("circle")
.data(data)
.join("circle")
.attr("cx", d => xScale(d.x))
.attr("cy", d => yScale(d.y))
.attr("r", d => sizeScale(d.size || 10))
.attr("fill", d => colourScale(d.category || 'default'))
.attr("stroke", "#fff")
.attr("stroke-width", 2)
.attr("opacity", 0.7)
.style("cursor", "pointer");
// Hover interactions
circles
.on("mouseover", function(event, d) {
// Enlarge circle
d3.select(this)
.transition()
.duration(200)
.attr("opacity", 1)
.attr("stroke-width", 3);
// Show tooltip
tooltip
.style("display", "block")
.style("left", (event.pageX + 10) + "px")
.style("top", (event.pageY - 10) + "px")
.html(`
<strong>${d.label || 'Point'}</strong><br/>
X: ${d.x.toFixed(2)}<br/>
Y: ${d.y.toFixed(2)}<br/>
${d.category ? `Category: ${d.category}<br/>` : ''}
${d.size ? `Size: ${d.size.toFixed(2)}` : ''}
`);
})
.on("mousemove", function(event) {
tooltip
.style("left", (event.pageX + 10) + "px")
.style("top", (event.pageY - 10) + "px");
})
.on("mouseout", function() {
// Restore circle
d3.select(this)
.transition()
.duration(200)
.attr("opacity", 0.7)
.attr("stroke-width", 2);
// Hide tooltip
tooltip.style("display", "none");
})
.on("click", function(event, d) {
// Highlight selected point
circles.attr("stroke", "#fff").attr("stroke-width", 2);
d3.select(this)
.attr("stroke", "#000")
.attr("stroke-width", 3);
setSelectedPoint(d);
});
// Add transition on initial render
circles
.attr("r", 0)
.transition()
.duration(800)
.delay((d, i) => i * 20)
.attr("r", d => sizeScale(d.size || 10));
// Axis labels
g.append("text")
.attr("class", "axis-label")
.attr("x", innerWidth / 2)
.attr("y", innerHeight + margin.bottom - 5)
.attr("text-anchor", "middle")
.style("font-size", "14px")
.text("X Axis");
g.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("x", -innerHeight / 2)
.attr("y", -margin.left + 15)
.attr("text-anchor", "middle")
.style("font-size", "14px")
.text("Y Axis");
}, [data]);
return (
<div className="relative">
<svg
ref={svgRef}
width="800"
height="500"
style={{ border: '1px solid #ddd', cursor: 'grab' }}
/>
<div
ref={tooltipRef}
style={{
position: 'absolute',
display: 'none',
padding: '10px',
background: 'white',
border: '1px solid #ddd',
borderRadius: '4px',
pointerEvents: 'none',
boxShadow: '0 2px 4px rgba(0,0,0,0.1)',
fontSize: '13px',
zIndex: 1000
}}
/>
{selectedPoint && (
<div className="mt-4 p-4 bg-blue-50 rounded border border-blue-200">
<h3 className="font-bold mb-2">Selected Point</h3>
<pre className="text-sm">{JSON.stringify(selectedPoint, null, 2)}</pre>
</div>
)}
</div>
);
}
// Example usage
export default function App() {
const sampleData = Array.from({ length: 50 }, (_, i) => ({
id: i,
label: `Point ${i + 1}`,
x: Math.random() * 100,
y: Math.random() * 100,
size: Math.random() * 30 + 5,
category: ['A', 'B', 'C', 'D'][Math.floor(Math.random() * 4)]
}));
return (
<div className="p-8">
<h1 className="text-2xl font-bold mb-2">Interactive D3.js Chart</h1>
<p className="text-gray-600 mb-4">
Hover over points for details. Click to select. Scroll to zoom. Drag to pan.
</p>
<InteractiveChart data={sampleData} />
</div>
);
}

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{
"timeSeries": [
{ "date": "2024-01-01", "value": 120, "category": "A" },
{ "date": "2024-02-01", "value": 135, "category": "A" },
{ "date": "2024-03-01", "value": 128, "category": "A" },
{ "date": "2024-04-01", "value": 145, "category": "A" },
{ "date": "2024-05-01", "value": 152, "category": "A" },
{ "date": "2024-06-01", "value": 168, "category": "A" },
{ "date": "2024-07-01", "value": 175, "category": "A" },
{ "date": "2024-08-01", "value": 182, "category": "A" },
{ "date": "2024-09-01", "value": 190, "category": "A" },
{ "date": "2024-10-01", "value": 185, "category": "A" },
{ "date": "2024-11-01", "value": 195, "category": "A" },
{ "date": "2024-12-01", "value": 210, "category": "A" }
],
"categorical": [
{ "label": "Product A", "value": 450, "category": "Electronics" },
{ "label": "Product B", "value": 320, "category": "Electronics" },
{ "label": "Product C", "value": 580, "category": "Clothing" },
{ "label": "Product D", "value": 290, "category": "Clothing" },
{ "label": "Product E", "value": 410, "category": "Food" },
{ "label": "Product F", "value": 370, "category": "Food" }
],
"scatterData": [
{ "x": 12, "y": 45, "size": 25, "category": "Group A", "label": "Point 1" },
{ "x": 25, "y": 62, "size": 35, "category": "Group A", "label": "Point 2" },
{ "x": 38, "y": 55, "size": 20, "category": "Group B", "label": "Point 3" },
{ "x": 45, "y": 78, "size": 40, "category": "Group B", "label": "Point 4" },
{ "x": 52, "y": 68, "size": 30, "category": "Group C", "label": "Point 5" },
{ "x": 65, "y": 85, "size": 45, "category": "Group C", "label": "Point 6" },
{ "x": 72, "y": 72, "size": 28, "category": "Group A", "label": "Point 7" },
{ "x": 85, "y": 92, "size": 50, "category": "Group B", "label": "Point 8" }
],
"hierarchical": {
"name": "Root",
"children": [
{
"name": "Category 1",
"children": [
{ "name": "Item 1.1", "value": 100 },
{ "name": "Item 1.2", "value": 150 },
{ "name": "Item 1.3", "value": 80 }
]
},
{
"name": "Category 2",
"children": [
{ "name": "Item 2.1", "value": 200 },
{ "name": "Item 2.2", "value": 120 },
{ "name": "Item 2.3", "value": 90 }
]
},
{
"name": "Category 3",
"children": [
{ "name": "Item 3.1", "value": 180 },
{ "name": "Item 3.2", "value": 140 }
]
}
]
},
"network": {
"nodes": [
{ "id": "A", "group": 1 },
{ "id": "B", "group": 1 },
{ "id": "C", "group": 1 },
{ "id": "D", "group": 2 },
{ "id": "E", "group": 2 },
{ "id": "F", "group": 3 },
{ "id": "G", "group": 3 },
{ "id": "H", "group": 3 }
],
"links": [
{ "source": "A", "target": "B", "value": 1 },
{ "source": "A", "target": "C", "value": 2 },
{ "source": "B", "target": "C", "value": 1 },
{ "source": "C", "target": "D", "value": 3 },
{ "source": "D", "target": "E", "value": 2 },
{ "source": "E", "target": "F", "value": 1 },
{ "source": "F", "target": "G", "value": 2 },
{ "source": "F", "target": "H", "value": 1 },
{ "source": "G", "target": "H", "value": 1 }
]
},
"stackedData": [
{ "group": "Q1", "seriesA": 30, "seriesB": 40, "seriesC": 25 },
{ "group": "Q2", "seriesA": 45, "seriesB": 35, "seriesC": 30 },
{ "group": "Q3", "seriesA": 40, "seriesB": 50, "seriesC": 35 },
{ "group": "Q4", "seriesA": 55, "seriesB": 45, "seriesC": 40 }
],
"geographicPoints": [
{ "city": "London", "latitude": 51.5074, "longitude": -0.1278, "value": 8900000 },
{ "city": "Paris", "latitude": 48.8566, "longitude": 2.3522, "value": 2140000 },
{ "city": "Berlin", "latitude": 52.5200, "longitude": 13.4050, "value": 3645000 },
{ "city": "Madrid", "latitude": 40.4168, "longitude": -3.7038, "value": 3223000 },
{ "city": "Rome", "latitude": 41.9028, "longitude": 12.4964, "value": 2873000 }
],
"divergingData": [
{ "category": "Item A", "value": -15 },
{ "category": "Item B", "value": 8 },
{ "category": "Item C", "value": -22 },
{ "category": "Item D", "value": 18 },
{ "category": "Item E", "value": -5 },
{ "category": "Item F", "value": 25 },
{ "category": "Item G", "value": -12 },
{ "category": "Item H", "value": 14 }
]
}