Agent skill
chartjs-example-1-multi-dataset-line-chart
Sub-skill of chartjs: Example 1: Multi-Dataset Line Chart (+5).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/data/visualization/chartjs/example-1-multi-dataset-line-chart
SKILL.md
Example 1: Multi-Dataset Line Chart (+5)
Example 1: Multi-Dataset Line Chart
<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<style>
.chart-container {
position: relative;
height: 400px;
width: 80%;
*See sub-skills for full details.*
## Example 2: Stacked Bar Chart
```javascript
const ctx = document.getElementById('stackedBar').getContext('2d');
const stackedChart = new Chart(ctx, {
type: 'bar',
data: {
labels: ['Q1', 'Q2', 'Q3', 'Q4'],
datasets: [
{
label: 'Revenue',
data: [100, 120, 115, 134],
*See sub-skills for full details.*
## Example 3: Radar Chart
```javascript
const ctx = document.getElementById('radarChart').getContext('2d');
const radarChart = new Chart(ctx, {
type: 'radar',
data: {
labels: ['Speed', 'Reliability', 'Comfort', 'Safety', 'Efficiency'],
datasets: [
{
label: 'Vehicle A',
data: [85, 90, 70, 95, 80],
*See sub-skills for full details.*
## Example 4: Loading Data from CSV
```javascript
// Using Fetch API to load CSV
fetch('../data/sales.csv')
.then(response => response.text())
.then(csvText => {
const lines = csvText.split('\n');
const headers = lines[0].split(',');
const labels = [];
const data = [];
*See sub-skills for full details.*
## Example 5: Real-Time Updating Chart
```javascript
const ctx = document.getElementById('realtimeChart').getContext('2d');
const chart = new Chart(ctx, {
type: 'line',
data: {
labels: [],
datasets: [{
label: 'Real-time Data',
data: [],
borderColor: 'rgb(75, 192, 192)',
*See sub-skills for full details.*
## Example 6: Mixed Chart Types
```javascript
const ctx = document.getElementById('mixedChart').getContext('2d');
const mixedChart = new Chart(ctx, {
data: {
labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May'],
datasets: [
{
type: 'bar',
label: 'Sales',
data: [50, 60, 70, 80, 90],
*See sub-skills for full details.*
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