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Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.
npx skill4agent add claude-office-skills/skills chart-designer| Chart Type | Best For | Data Requirements |
|---|---|---|
| Bar Chart | Comparing categories | Categories + values |
| Grouped Bar | Multiple series comparison | Categories + multiple series |
| Stacked Bar | Part-to-whole comparison | Categories + component values |
| Chart Type | Best For | Data Requirements |
|---|---|---|
| Line Chart | Change over time | Time series data |
| Area Chart | Cumulative trends | Time series (stacked optional) |
| Sparkline | Compact trends | Simple time series |
| Chart Type | Best For | Data Requirements |
|---|---|---|
| Histogram | Value distribution | Numeric values |
| Box Plot | Distribution summary | Numeric values with quartiles |
| Scatter Plot | Correlation | Two numeric variables |
| Chart Type | Best For | Data Requirements |
|---|---|---|
| Pie Chart | Simple proportions (≤5 items) | Categories + percentages |
| Donut Chart | Proportions with total | Categories + percentages |
| Treemap | Hierarchical proportions | Hierarchical data + values |
| Chart Type | Best For | Data Requirements |
|---|---|---|
| Funnel | Process stages/conversion | Stages + values |
| Gauge | Single KPI vs target | Current value + target |
| Heatmap | Matrix comparisons | Row + Column + Value |
| Radar | Multi-dimensional comparison | Multiple metrics per item |
| Sankey | Flow/transitions | Source + Target + Value |
What do you want to show?
│
├─ Comparison
│ ├─ Among items → Bar Chart
│ ├─ Over time → Line Chart
│ └─ Multiple series → Grouped/Stacked Bar
│
├─ Composition
│ ├─ Static → Pie/Donut (≤5) or Treemap
│ ├─ Over time → Stacked Area
│ └─ Hierarchical → Treemap/Sunburst
│
├─ Distribution
│ ├─ Single variable → Histogram
│ ├─ Multiple datasets → Box Plot
│ └─ Two variables → Scatter Plot
│
├─ Relationship
│ ├─ Two variables → Scatter Plot
│ ├─ Three variables → Bubble Chart
│ └─ Correlation matrix → Heatmap
│
└─ Flow/Process
├─ Sequential stages → Funnel
├─ Transitions → Sankey
└─ Single metric → Gauge# Chart Design: [Title]
**Data Type**: [Description]
**Purpose**: [What story to tell]
**Recommended Chart**: [Chart type]
---
## Chart Configuration
### ECharts
```javascript
const option = {
title: {
text: 'Chart Title',
left: 'center'
},
tooltip: {
trigger: 'axis'
},
legend: {
data: ['Series 1', 'Series 2'],
bottom: 10
},
xAxis: {
type: 'category',
data: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
},
yAxis: {
type: 'value'
},
series: [
{
name: 'Series 1',
type: 'bar',
data: [120, 200, 150, 80, 70, 110]
},
{
name: 'Series 2',
type: 'line',
data: [100, 180, 160, 90, 80, 100]
}
]
};const config = {
type: 'bar',
data: {
labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun'],
datasets: [{
label: 'Series 1',
data: [120, 200, 150, 80, 70, 110],
backgroundColor: 'rgba(54, 162, 235, 0.8)'
}]
},
options: {
responsive: true,
plugins: {
title: {
display: true,
text: 'Chart Title'
}
}
}
};#5470c6#91cc75#fac858#73c0de
---
## ECharts Common Configurations
### Bar Chart
```javascript
{
xAxis: { type: 'category', data: categories },
yAxis: { type: 'value' },
series: [{
type: 'bar',
data: values,
itemStyle: { color: '#5470c6' }
}]
}{
xAxis: { type: 'category', data: categories },
yAxis: { type: 'value' },
series: [{
type: 'line',
data: values,
smooth: true,
areaStyle: {} // for area chart
}]
}{
series: [{
type: 'pie',
radius: ['40%', '70%'], // donut
data: [
{ value: 100, name: 'A' },
{ value: 200, name: 'B' }
]
}]
}{
xAxis: { type: 'value' },
yAxis: { type: 'value' },
series: [{
type: 'scatter',
data: [[x1, y1], [x2, y2]],
symbolSize: 10
}]
}#5470c6, #91cc75, #fac858, #ee6666, #73c0de, #3ba272, #fc8452, #9a60b4#1f77b4, #aec7e8, #17becf, #9edae5, #6baed6, #c6dbef, #08519c, #3182bd#ff7f0e, #ffbb78, #d62728, #ff9896, #e377c2, #f7b6d2, #bcbd22, #dbdb8d#0077BB, #33BBEE, #009988, #EE7733, #CC3311, #EE3377, #BBBBBB