Learn how to build a data visualization dashboard that connects to your Airtable bases, creating charts, graphs, and interactive reports from your spreadsheet data.

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Overview

This example demonstrates building a data visualization dashboard that:
  • Connects to Airtable bases and tables
  • Creates various chart types (bar, line, pie, etc.)
  • Provides interactive filtering and drill-down
  • Updates in real-time as Airtable data changes

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Prerequisites

  • Airtable integration configured in HelloLeo
  • Airtable base with data tables
  • Access token with read permissions

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Step-by-Step Guide

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1. Set Up the Integration

First, ensure your Airtable integration is configured:
  1. Go to Project Settings → Project Integrations
  2. Select Airtable and enter your access token
  3. Test the connection

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2. Create the Dashboard Layout

Start by creating a dashboard with multiple visualization widgets: 
Create a data visualization dashboard with:
- Header showing dashboard title
- Grid layout for multiple charts
- Filter panel on the left
- Chart widgets that can be resized and rearranged

Use a responsive grid system.

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3. Build Sales Chart

Create a sales visualization: 
Create a bar chart showing sales data from Airtable.
Fetch data from the "Sales" table and display:
- X-axis: Month
- Y-axis: Total sales amount
- Color bars by product category

Use Airtable API to fetch records from Sales table,
group by month, and calculate totals.

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4. Create Customer Distribution Pie Chart

Build a customer distribution visualization: 
Create a pie chart showing customer distribution by region.
Fetch customer data from Airtable "Customers" table and:
- Group customers by region field
- Count customers per region
- Display as pie chart with percentages
- Add legend showing region names

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5. Build Time Series Line Chart

Create a time series visualization: 
Create a line chart showing revenue trends over time.
Fetch data from Airtable "Transactions" table:
- X-axis: Date (grouped by week or month)
- Y-axis: Revenue amount
- Multiple lines for different product categories
- Interactive tooltips showing exact values

Use Airtable filterByFormula to filter by date range.

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6. Add Interactive Filters

Create filtering functionality: 
Add filter controls to the dashboard:
- Date range picker
- Category dropdown
- Region selector

When filters change, update all charts to reflect 
filtered data from Airtable.

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7. Create Data Table View

Add a detailed data table: 
Create a data table component showing raw Airtable data:
- Sortable columns
- Search functionality
- Pagination (20 records per page)
- Export to CSV button

Fetch records from Airtable with pagination support.

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Example Prompts

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Initial Setup

Build a data visualization dashboard with:
- Sales bar chart from Airtable Sales table
- Customer distribution pie chart from Customers table
- Revenue trend line chart from Transactions table
- Interactive filters for date range and category
- Data table showing filtered results

Connect all visualizations to Airtable data.

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Enhancements

Add drill-down functionality: when clicking on a bar 
in the sales chart, show detailed records for that period.

Create a comparison view showing this month vs last month 
sales side by side.

Add export functionality to download charts as images 
or data as CSV.

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Key Airtable Concepts

  • Bases - Airtable workspaces containing tables
  • Tables - Collections of records (like database tables)
  • Records - Individual rows in a table
  • Fields - Columns in a table
  • Views - Filtered/sorted table views

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Best Practices

  • Performance: Use Airtable’s maxRecords parameter to limit data fetching
  • Filtering: Use filterByFormula to filter data server-side
  • Pagination: Implement pagination for large datasets
  • Caching: Consider caching Airtable data to reduce API calls
  • Error Handling: Handle Airtable API rate limits gracefully

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Chart Types to Consider

  • Bar Charts - Compare categories
  • Line Charts - Show trends over time
  • Pie Charts - Show proportions
  • Scatter Plots - Show correlations
  • Heatmaps - Show density or intensity
  • Gauges - Show KPIs and metrics

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Next Steps

  • Add real-time updates using Airtable webhooks
  • Create custom date range presets (last 7 days, last month, etc.)
  • Add chart customization options (colors, labels, etc.)
  • Implement data export in multiple formats
  • Add user preferences to save dashboard layouts

Airtable Integration

Learn more about Airtable integration

Working with Integrations

General guide for using integrations