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Create charts and visualizations in Google Sheets — detect data structure, select chart type, format for clarity, present insights
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Based on SOC occupation classification
Analyze spreadsheet data intelligently - understand structure, choose right analysis tool (SQL/pivot/chart), apply formatting, present insights.
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| name | googlesheets-charts-graphs |
| description | Create charts and visualizations in Google Sheets — detect data structure, select chart type, format for clarity, present insights |
| target | google_sheets_agent |
User wants to visualize data, create charts, build dashboards, or add graphs to a spreadsheet.
Before creating any chart, read the data:
GOOGLESHEETS_SEARCH_SPREADSHEETS(query="<name>") → spreadsheet_id
GOOGLESHEETS_GET_SHEET_NAMES(spreadsheetId=spreadsheet_id) → sheets list
GOOGLESHEETS_VALUES_GET(spreadsheetId, range="Sheet1!A1:Z5") → peek at structure
Identify:
| Data Pattern | Best Chart | Why |
|---|---|---|
| Categories + values | BAR or COLUMN | Compare quantities across categories |
| Time series | LINE or AREA | Show trends over time |
| Parts of whole | PIE | Show proportions (≤7 categories) |
| Two numeric variables | SCATTER | Show correlation/distribution |
| Multiple metrics over time | COMBO | Lines + bars together |
| Distribution | HISTOGRAM | Show frequency distribution |
| Hierarchical | TREEMAP | Show nested proportions |
Rules:
GOOGLESHEETS_GET_SPREADSHEET_INFO(spreadsheetId) → get sheet_id (numeric, NOT sheet name)
Range rules:
'Sheet1!A1:C20'GOOGLESHEETS_CREATE_CHART(
spreadsheet_id="...",
sheet_id=0, # Numeric sheet ID, NOT name
chart_type="BAR",
data_range="Sheet1!A1:C10",
title="Sales by Region",
x_axis_title="Region",
y_axis_title="Revenue ($)",
legend_position="BOTTOM_LEGEND"
)
Chart type options: BAR, LINE, PIE, COLUMN, AREA, SCATTER, COMBO, STEPPED_AREA, HISTOGRAM, BUBBLE, CANDLESTICK, TREEMAP, WATERFALL, ORG, SCORECARD
Don't just create the chart — tell the user what it shows:
Created: "Sales by Region" (Bar Chart)
Key insights:
- West region leads with $450K (38% of total)
- East region grew 22% vs last quarter
- South region underperforming at $120K