| name | field-agent-visualization |
| description | Professional Plotly visualization best practices for Field Agents including chart specifications, color palettes, formatting standards, and JSON structure requirements for executive-ready data visualizations |
Field Agent Visualization Best Practices
This skill provides comprehensive guidelines for creating professional, executive-ready visualizations for Field Agents using Plotly. Follow these standards to ensure clean, readable, and impactful data visualizations.
When to Use This Skill
Use this skill when you need to:
- Create Plotly visualizations for Field Agent outputs
- Generate charts for data analysis and reporting
- Build dashboards with KPI indicators
- Design executive-ready visual presentations
- Ensure consistent visualization standards across agents
Core Principles
Golden Rules
- Create SINGLE CHARTS ONLY - NO SUBPLOTS for analysis charts
- Always use descriptive titles, axis labels, and legends
- Ensure proper formatting and readability
- Use the specified color palette consistently
- Always show numbers/percentages in bar charts and heatmaps
- LEGENDS MUST BE VISIBLE for pie charts and comparison charts
- NEVER CREATE SUBPLOTS for analysis - Always create separate individual charts
MANDATORY Color Palette
Always use this Treasure Data color palette for consistency:
TD_COLORS = [
'#44BAB8', # Teal (Primary)
'#8FD6D4', # Light Teal
'#DAF1F1', # Pale Teal
'#2E41A6', # Navy Blue
'#828DCA', # Purple
'#D5D9ED', # Light Purple
'#8CC97E', # Green
'#BADFB2', # Light Green
'#E8F4E5', # Pale Green
'#EEB53A', # Accent Yellow
'#F5D389', # Light Yellow
'#5FCFD8', # Cyan
'#A05EB0', # Magenta
'#C69ED0' # Light Magenta
]
Usage:
- Use
#44BAB8(Teal) as primary color for single-series charts - Use
#2E41A6(Navy) for text and titles - Cycle through colors for multi-series charts
- Use color scales for heatmaps (DAF1F1 → 8FD6D4 → 44BAB8)
Color Conversion Helper Function
For charts requiring RGB/RGBA format (e.g., transparency effects):
def hex_to_rgb(hex_color):
"""Convert hex color to RGB tuple
Args:
hex_color (str): Hex color code (e.g., '#44BAB8' or '44BAB8')
Returns:
tuple: RGB values as (R, G, B) where each value is 0-255
Example:
>>> hex_to_rgb('#44BAB8')
(68, 186, 184)
"""
hex_color = hex_color.lstrip('#')
return tuple(int(hex_color[i:i+2], 16) for i in (0, 2, 4))
def hex_to_rgba(hex_color, alpha=1.0):
"""Convert hex color to RGBA string for Plotly
Args:
hex_color (str): Hex color code (e.g., '#44BAB8')
alpha (float): Opacity value 0.0-1.0
Returns:
str: RGBA color string (e.g., 'rgba(68, 186, 184, 0.5)')
Example:
>>> hex_to_rgba('#44BAB8', 0.5)
'rgba(68, 186, 184, 0.5)'
"""
r, g, b = hex_to_rgb(hex_color)
return f'rgba({r}, {g}, {b}, {alpha})'
# Usage examples:
td_primary_rgb = hex_to_rgb('#44BAB8') # (68, 186, 184)
td_primary_transparent = hex_to_rgba('#44BAB8', 0.3) # 'rgba(68, 186, 184, 0.3)'
CRITICAL: JSON Structure Requirements
✅ CORRECT JSON Format
Always use proper JSON objects with native arrays and objects:
{
"data": [
{
"type": "bar",
"x": ["A", "B", "C"],
"y": [10, 20, 30],
"marker": {"color": "#44BAB8"},
"text": ["10", "20", "30"],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
],
"layout": {
"title": {
"text": "Chart Title",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"showlegend": true,
"margin": {"t": 120, "b": 80, "l": 80, "r": 80},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
❌ NEVER DO: String Data (Causes Errors)
{
"data": "[{\"type\": \"bar\", \"x\": [\"A\", \"B\"], \"y\": [10, 20]}]"
}
Critical: Data must be JSON objects and arrays, NOT stringified JSON.
CRITICAL: Missing Elements Fixes
For Bar Charts - MANDATORY Properties
{
"data": [{
"type": "bar",
"x": ["Category A", "Category B", "Category C"],
"y": [45, 30, 25],
"name": "Series Name",
"marker": {"color": "#44BAB8"},
"text": [45, 30, 25], // ⚠️ CRITICAL: Must include for numbers on bars
"textposition": "outside", // ⚠️ CRITICAL: Shows numbers above bars
"textfont": {"size": 11, "color": "black"}
}],
"layout": {
"title": {"text": "Bar Chart Title", "x": 0.5, "font": {"size": 18}},
"height": 500,
"showlegend": true, // ⚠️ CRITICAL: Must be true for multi-series
"legend": {
"orientation": "h",
"yanchor": "bottom",
"y": 1.05, // ⚠️ CRITICAL: Must be above 1.0 to be visible
"xanchor": "center",
"x": 0.5
},
"margin": {"t": 120, "b": 80, "l": 80, "r": 80}, // ⚠️ CRITICAL: Extra top margin for legend
"xaxis": {"title": {"text": "Categories", "font": {"size": 14}}},
"yaxis": {"title": {"text": "Values", "font": {"size": 14}}},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
For Heatmaps - MANDATORY Properties
{
"data": [{
"type": "heatmap",
"x": ["Col A", "Col B", "Col C"],
"y": ["Row 1", "Row 2", "Row 3"],
"z": [[23.4, 45.6, 12.3], [34.5, 56.7, 23.1], [45.2, 67.8, 34.5]],
"text": [[23.4, 45.6, 12.3], [34.5, 56.7, 23.1], [45.2, 67.8, 34.5]], // ⚠️ CRITICAL: Numbers to display
"texttemplate": "%{text:.1f}", // ⚠️ CRITICAL: Format to 1 decimal
"textfont": {"size": 12, "color": "black"}, // ⚠️ CRITICAL: Visible text
"showscale": true, // ⚠️ CRITICAL: Show color scale
"colorscale": [
[0, "#DAF1F1"],
[0.5, "#8FD6D4"],
[1, "#44BAB8"]
],
"colorbar": {
"title": {"text": "Value", "font": {"size": 12}},
"titleside": "right"
},
"hovertemplate": "<b>%{y}</b> - <b>%{x}</b><br>Value: %{z:.1f}<extra></extra>"
}],
"layout": {
"title": {"text": "Heatmap Title", "x": 0.5, "font": {"size": 18}},
"height": 500,
"xaxis": {"title": {"text": "X Axis", "font": {"size": 14}}},
"yaxis": {"title": {"text": "Y Axis", "font": {"size": 14}}},
"margin": {"t": 80, "b": 80, "l": 80, "r": 100},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Common Issues Fix Checklist
Before generating any chart, verify:
- Bar charts: Include
"text","textposition": "outside","textfont" - Multi-series: Include
"showlegend": true, legend"y": 1.05or higher - Legend spacing: Top margin
"t": 120minimum for horizontal legends - Heatmaps: Include
"text","texttemplate": "%{text:.1f}","showscale": true - Text visibility: Use
"textfont": {"color": "black"}for contrast - JSON format: Use proper objects/arrays, NOT stringified JSON
- Color palette: Use TD colors exclusively
- No subplots: Create individual charts for analysis
Chart-Specific Guidelines
1. Pie Charts - LEGEND MANDATORY
Pie charts ALWAYS require visible legends.
{
"data": [{
"type": "pie",
"values": [45, 30, 25],
"labels": ["Channel A", "Channel B", "Channel C"],
"marker": {
"colors": ["#44BAB8", "#8FD6D4", "#DAF1F1"]
},
"textinfo": "label+percent",
"textposition": "auto",
"textfont": {"size": 14, "color": "black"},
"hovertemplate": "<b>%{label}</b><br>Value: %{value}<br>Percentage: %{percent}<extra></extra>"
}],
"layout": {
"title": {
"text": "Attribution Distribution",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"showlegend": true,
"legend": {
"orientation": "v",
"yanchor": "middle",
"y": 0.5,
"xanchor": "left",
"x": 1.02,
"font": {"size": 12}
},
"margin": {"t": 80, "b": 80, "l": 80, "r": 150},
"font": {"family": "Arial", "size": 12},
"paper_bgcolor": "white"
}
}
Key Points:
- Use vertical legend positioned to the right (
x: 1.02) - Include extra right margin (
r: 150) for legend space - Show both label and percent in slices
- Use TD color palette for consistent branding
2. Bar Charts with Comparison - LEGEND VISIBLE
Multi-series bar charts require horizontal legends positioned above the chart.
{
"data": [
{
"type": "bar",
"x": ["Channel A", "Channel B", "Channel C"],
"y": [45, 30, 25],
"name": "Metric 1",
"marker": {"color": "#44BAB8"},
"text": [45, 30, 25],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
},
{
"type": "bar",
"x": ["Channel A", "Channel B", "Channel C"],
"y": [35, 40, 30],
"name": "Metric 2",
"marker": {"color": "#8FD6D4"},
"text": [35, 40, 30],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
],
"layout": {
"title": {
"text": "Channel Comparison",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"barmode": "group",
"showlegend": true,
"legend": {
"orientation": "h",
"yanchor": "bottom",
"y": 1.05,
"xanchor": "center",
"x": 0.5,
"font": {"size": 12}
},
"xaxis": {
"title": {"text": "Channels", "font": {"size": 14, "color": "#2E41A6"}}
},
"yaxis": {
"title": {"text": "Performance %", "font": {"size": 14, "color": "#2E41A6"}}
},
"margin": {"t": 120, "b": 80, "l": 80, "r": 80},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Key Points:
- Set
barmodeto"group"for side-by-side or"stack"for stacked - Horizontal legend above chart (
y: 1.05) - Adequate top margin (
t: 120) - Numbers displayed on all bars
3. Single Bar Chart - NO Legend Needed
{
"data": [{
"type": "bar",
"x": ["Product A", "Product B", "Product C", "Product D"],
"y": [1200, 950, 800, 650],
"marker": {"color": "#44BAB8"},
"text": ["$1,200", "$950", "$800", "$650"],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}],
"layout": {
"title": {
"text": "Revenue by Product",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"showlegend": false,
"xaxis": {
"title": {"text": "Products", "font": {"size": 14, "color": "#2E41A6"}}
},
"yaxis": {
"title": {"text": "Revenue ($)", "font": {"size": 14, "color": "#2E41A6"}}
},
"margin": {"t": 80, "b": 80, "l": 80, "r": 80},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Key Points:
- Single series = no legend needed (
showlegend: false) - Use primary TD color (#44BAB8)
- Show formatted values on bars
4. Heatmaps - Numbers with 1 Decimal
{
"data": [{
"type": "heatmap",
"x": ["Channel A", "Channel B", "Channel C"],
"y": ["Week 1", "Week 2", "Week 3"],
"z": [
[23.4, 45.6, 12.3],
[34.5, 56.7, 23.1],
[45.2, 67.8, 34.5]
],
"colorscale": [
[0, "#DAF1F1"],
[0.5, "#8FD6D4"],
[1, "#44BAB8"]
],
"showscale": true,
"colorbar": {
"title": {"text": "Performance", "font": {"size": 12}},
"titleside": "right"
},
"text": [
[23.4, 45.6, 12.3],
[34.5, 56.7, 23.1],
[45.2, 67.8, 34.5]
],
"texttemplate": "%{text:.1f}",
"textfont": {"size": 12, "color": "black"},
"hovertemplate": "<b>%{y}</b> - <b>%{x}</b><br>Value: %{z:.1f}<extra></extra>"
}],
"layout": {
"title": {
"text": "Performance Heatmap",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"xaxis": {
"title": {"text": "Channels", "font": {"size": 14, "color": "#2E41A6"}}
},
"yaxis": {
"title": {"text": "Time Periods", "font": {"size": 14, "color": "#2E41A6"}}
},
"margin": {"t": 80, "b": 80, "l": 80, "r": 100},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Key Points:
- Include
textarray matchingzvalues - Use
texttemplate: "%{text:.1f}"for 1 decimal formatting - Use TD color scale (light to dark)
- Show color scale bar
5. Line Charts with Multiple Series
{
"data": [
{
"type": "scatter",
"mode": "lines+markers",
"x": ["Jan", "Feb", "Mar", "Apr"],
"y": [10, 15, 20, 25],
"name": "Channel A",
"line": {"color": "#44BAB8", "width": 3},
"marker": {"color": "#44BAB8", "size": 8}
},
{
"type": "scatter",
"mode": "lines+markers",
"x": ["Jan", "Feb", "Mar", "Apr"],
"y": [8, 12, 18, 22],
"name": "Channel B",
"line": {"color": "#8FD6D4", "width": 3},
"marker": {"color": "#8FD6D4", "size": 8}
}
],
"layout": {
"title": {
"text": "Performance Trends",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"showlegend": true,
"legend": {
"orientation": "h",
"yanchor": "bottom",
"y": 1.02,
"xanchor": "center",
"x": 0.5,
"font": {"size": 12}
},
"xaxis": {
"title": {"text": "Time Period", "font": {"size": 14, "color": "#2E41A6"}}
},
"yaxis": {
"title": {"text": "Performance", "font": {"size": 14, "color": "#2E41A6"}}
},
"margin": {"t": 100, "b": 80, "l": 80, "r": 80},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Key Points:
- Use
scattertype withmode: "lines+markers" - Different colors for each series from TD palette
- Horizontal legend above chart
- Visible markers on data points
6. Sankey Diagrams
{
"data": [{
"type": "sankey",
"orientation": "h",
"node": {
"pad": 15,
"thickness": 30,
"line": {"color": "black", "width": 0.5},
"label": ["Source A", "Source B", "Destination X", "Destination Y"],
"color": ["#44BAB8", "#8FD6D4", "#2E41A6", "#828DCA"]
},
"link": {
"source": [0, 1, 0, 1],
"target": [2, 2, 3, 3],
"value": [10, 20, 15, 25],
"color": [
"rgba(68, 186, 184, 0.4)",
"rgba(143, 214, 212, 0.4)",
"rgba(68, 186, 184, 0.4)",
"rgba(143, 214, 212, 0.4)"
]
}
}],
"layout": {
"title": {
"text": "Customer Journey Flow",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 600,
"margin": {"t": 80, "b": 50, "l": 50, "r": 50},
"font": {"family": "Arial", "size": 12},
"paper_bgcolor": "white"
}
}
Key Points:
- Node colors from TD palette
- Semi-transparent link colors (0.4 opacity)
- Clear node labels
- Adequate height (600px) for visibility
Legend Configuration Standards
When to Show Legends
| Chart Type | Show Legend? | Position |
|---|---|---|
| Pie Chart | ✅ ALWAYS | Vertical, right side |
| Multi-Series Bar | ✅ ALWAYS | Horizontal, top |
| Single Bar | ❌ NEVER | N/A |
| Multi-Series Line | ✅ ALWAYS | Horizontal, top |
| Single Line | ❌ NEVER | N/A |
| Heatmap | ❌ (Use colorbar) | N/A |
| Sankey | ❌ (Labels in nodes) | N/A |
Pie Charts - Vertical Legend (Right Side)
{
"showlegend": true,
"legend": {
"orientation": "v",
"yanchor": "middle",
"y": 0.5,
"xanchor": "left",
"x": 1.02,
"font": {"size": 12}
},
"margin": {"t": 80, "b": 80, "l": 80, "r": 150}
}
Bar/Line Charts - Horizontal Legend (Top)
{
"showlegend": true,
"legend": {
"orientation": "h",
"yanchor": "bottom",
"y": 1.05,
"xanchor": "center",
"x": 0.5,
"font": {"size": 12}
},
"margin": {"t": 120, "b": 80, "l": 80, "r": 80}
}
Text and Number Formatting
Percentage Display
// Option 1: Add % in template
{
"text": [45.2, 30.1, 24.7],
"texttemplate": "%{text}%",
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
// Option 2: Pre-formatted strings
{
"text": ["45.2%", "30.1%", "24.7%"],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
Currency Display
// Option 1: Format with template
{
"text": [1200000, 850000, 650000],
"texttemplate": "$%{text:,.0f}",
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
// Option 2: Pre-formatted strings
{
"text": ["$1.2M", "$850K", "$650K"],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
Heatmap Numbers (1 Decimal)
{
"text": [[23.4, 45.6], [34.5, 56.7]],
"texttemplate": "%{text:.1f}",
"textfont": {"size": 12, "color": "black"},
"hovertemplate": "Value: %{z:.1f}<extra></extra>"
}
KPI Indicators (ONLY Use Case for Subplots)
KPI indicators are the ONLY exception where subplots are allowed. Use simple number indicators only.
Simple Number Indicators (NO GAUGES)
{
"data": [
{
"type": "indicator",
"mode": "number+delta",
"value": 5240,
"delta": {"reference": 4800, "suffix": " customers"},
"title": {"text": "Total Customers", "font": {"size": 12, "color": "#2E41A6"}},
"number": {"font": {"size": 32, "color": "#44BAB8"}},
"domain": {"x": [0, 0.25], "y": [0, 1]}
},
{
"type": "indicator",
"mode": "number+delta",
"value": 42.5,
"delta": {"reference": 38.2, "suffix": "%"},
"title": {"text": "Conversion Rate", "font": {"size": 12, "color": "#2E41A6"}},
"number": {"prefix": "", "suffix": "%", "font": {"size": 32, "color": "#44BAB8"}},
"domain": {"x": [0.25, 0.5], "y": [0, 1]}
},
{
"type": "indicator",
"mode": "number+delta",
"value": 1250000,
"delta": {"reference": 1100000, "valueformat": "$,.0f"},
"title": {"text": "Total Revenue", "font": {"size": 12, "color": "#2E41A6"}},
"number": {"prefix": "$", "valueformat": ",.0f", "font": {"size": 32, "color": "#44BAB8"}},
"domain": {"x": [0.5, 0.75], "y": [0, 1]}
},
{
"type": "indicator",
"mode": "number+delta",
"value": 25.3,
"delta": {"reference": 22.1, "suffix": "%"},
"title": {"text": "Champions %", "font": {"size": 12, "color": "#2E41A6"}},
"number": {"suffix": "%", "font": {"size": 32, "color": "#44BAB8"}},
"domain": {"x": [0.75, 1], "y": [0, 1]}
}
],
"layout": {
"height": 150,
"margin": {"t": 20, "b": 20, "l": 20, "r": 20},
"paper_bgcolor": "white"
}
}
Key Points for KPI Indicators:
- Maximum 4 indicators per row
- Number + Delta ONLY - no gauges, no fancy visuals
- Large number (32pt), clear title (12pt)
- Show change vs. previous period
- Clean, minimal design
- Use domains to position:
[0, 0.25],[0.25, 0.5],[0.5, 0.75],[0.75, 1]
Quality Checklist
Before generating any visualization, verify:
Required for Every Chart
- Descriptive title with proper positioning (
"x": 0.5) - Clear axis labels with appropriate font size (
"font": {"size": 14}) - TD color palette used consistently
- Proper height (500-600px based on chart type)
- Adequate margins (minimum 80px, more for legends)
- White background (
"plot_bgcolor": "white", "paper_bgcolor": "white") - Readable font size (12px minimum)
- Legends visible for multi-category/multi-series charts
- Numbers displayed on bars/heatmaps with proper formatting
Legend Requirements
-
"showlegend": truefor pie charts and comparisons - Proper orientation (vertical for pie, horizontal for others)
- Adequate margin space for legend display
- Readable font size for legend items
- Legend positioned visibly (y > 1.0 for horizontal)
Text Display Requirements
- Values shown on bars with
"text"and"textposition" - Heatmap values formatted to 1 decimal place
- Hover templates with meaningful information
- Consistent text formatting across similar chart types
- Black text for visibility (
"textfont": {"color": "black"})
Forbidden Patterns
❌ NEVER DO
- Subplots for analysis (
yaxis2,xaxis2, domain specifications)- Exception: KPI indicators only
- String data format (
"data": "[...]") - Missing legends on pie charts or comparisons
- Legend positioned below visible area (e.g.,
"y": -0.3) - Missing
"text"property on bar charts - numbers won't show - Missing
"textposition"on bar charts - numbers won't be positioned - Missing
"texttemplate"on heatmaps - numbers won't be formatted - Missing
"showscale"on heatmaps - color scale won't appear - Insufficient top margin for legends (
"t": 80insufficient, use"t": 120) - Unformatted numbers in heatmaps
- Empty or generic titles
- Non-TD colors
- Gauges in KPI indicators - use number+delta only
✅ ALWAYS DO
- Individual separate charts for analysis
- JSON array data format (proper objects, not strings)
- Visible legends:
"y": 1.05for horizontal, adequate margins - Numbers on bars:
"text": [...],"textposition": "outside" - Numbers on heatmaps:
"text": [...],"texttemplate": "%{text:.1f}" - Adequate margins:
"t": 120minimum for legends - Formatted numbers with appropriate decimals
- Descriptive titles and axis labels
- TD color palette consistently
- Black text color for visibility:
"textfont": {"color": "black"} - Simple KPI indicators - number + delta only
Complete Examples
Example 1: Customer Segment Distribution (Pie Chart)
{
"data": [{
"type": "pie",
"values": [1250, 2100, 1500, 390],
"labels": ["Champions", "Loyal Customers", "At Risk", "Lost"],
"marker": {
"colors": ["#44BAB8", "#8FD6D4", "#EEB53A", "#828DCA"]
},
"textinfo": "label+percent",
"textposition": "auto",
"textfont": {"size": 14, "color": "black"},
"hovertemplate": "<b>%{label}</b><br>Customers: %{value}<br>Percentage: %{percent}<extra></extra>"
}],
"layout": {
"title": {
"text": "Customer Segment Distribution",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"showlegend": true,
"legend": {
"orientation": "v",
"yanchor": "middle",
"y": 0.5,
"xanchor": "left",
"x": 1.02,
"font": {"size": 12}
},
"margin": {"t": 80, "b": 80, "l": 80, "r": 150},
"font": {"family": "Arial", "size": 12},
"paper_bgcolor": "white"
}
}
Example 2: Revenue by Channel (Multi-Series Bar)
{
"data": [
{
"type": "bar",
"x": ["Email", "Social", "Search", "Display"],
"y": [125000, 98000, 156000, 67000],
"name": "Q3 2024",
"marker": {"color": "#44BAB8"},
"text": ["$125K", "$98K", "$156K", "$67K"],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
},
{
"type": "bar",
"x": ["Email", "Social", "Search", "Display"],
"y": [142000, 115000, 178000, 73000],
"name": "Q4 2024",
"marker": {"color": "#8FD6D4"},
"text": ["$142K", "$115K", "$178K", "$73K"],
"textposition": "outside",
"textfont": {"size": 11, "color": "black"}
}
],
"layout": {
"title": {
"text": "Revenue by Marketing Channel",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"barmode": "group",
"showlegend": true,
"legend": {
"orientation": "h",
"yanchor": "bottom",
"y": 1.05,
"xanchor": "center",
"x": 0.5,
"font": {"size": 12}
},
"xaxis": {
"title": {"text": "Marketing Channels", "font": {"size": 14, "color": "#2E41A6"}}
},
"yaxis": {
"title": {"text": "Revenue ($)", "font": {"size": 14, "color": "#2E41A6"}}
},
"margin": {"t": 120, "b": 80, "l": 80, "r": 80},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Example 3: Performance Heatmap
{
"data": [{
"type": "heatmap",
"x": ["Week 1", "Week 2", "Week 3", "Week 4"],
"y": ["Email", "Social", "Search", "Display"],
"z": [
[85.3, 92.1, 88.7, 94.2],
[72.5, 78.3, 81.2, 76.8],
[91.4, 89.6, 93.8, 95.1],
[68.2, 71.5, 69.9, 73.4]
],
"colorscale": [
[0, "#DAF1F1"],
[0.5, "#8FD6D4"],
[1, "#44BAB8"]
],
"showscale": true,
"colorbar": {
"title": {"text": "Performance %", "font": {"size": 12}},
"titleside": "right"
},
"text": [
[85.3, 92.1, 88.7, 94.2],
[72.5, 78.3, 81.2, 76.8],
[91.4, 89.6, 93.8, 95.1],
[68.2, 71.5, 69.9, 73.4]
],
"texttemplate": "%{text:.1f}",
"textfont": {"size": 12, "color": "black"},
"hovertemplate": "<b>%{y}</b> - <b>%{x}</b><br>Performance: %{z:.1f}%<extra></extra>"
}],
"layout": {
"title": {
"text": "Weekly Channel Performance",
"x": 0.5,
"font": {"size": 18, "color": "#2E41A6"}
},
"height": 500,
"xaxis": {
"title": {"text": "Week", "font": {"size": 14, "color": "#2E41A6"}}
},
"yaxis": {
"title": {"text": "Channel", "font": {"size": 14, "color": "#2E41A6"}}
},
"margin": {"t": 80, "b": 80, "l": 100, "r": 100},
"font": {"family": "Arial", "size": 12},
"plot_bgcolor": "white",
"paper_bgcolor": "white"
}
}
Success Criteria
Your visualization is ready when:
✅ Executives can instantly understand the key message ✅ All text is readable at standard screen sizes ✅ Colors are consistent with TD branding ✅ Legends are visible and descriptive (where needed) ✅ Numbers are formatted appropriately ✅ Chart tells a clear story ✅ JSON structure is valid (not stringified) ✅ No subplots for analysis charts ✅ Clean, professional, executive-ready appearance
By following these guidelines, your Field Agent visualizations will be professional, consistent, and immediately actionable for decision-makers.