D: 🚀 Ready to supercharge your n8n workflows with powerful data aggregation techniques? In this ultimate guide, we’ll dive deep into the Aggregation Node – your secret weapon for transforming raw data into meaningful insights!
1. Understanding the Aggregation Node Basics
The Aggregation Node in n8n is like a Swiss Army knife for data processing 🔧. It can:
- Combine multiple data streams
- Perform calculations across datasets
- Group and summarize information
- Prepare data for visualization
Example use case: Combine sales data from different regions into a single report.
2. The 5 Aggregation Modes Explained
Here’s what each mode does with example inputs:
Mode | Input [1,2,3,4] | Result |
---|---|---|
Average | [1,2,3,4] | 2.5 |
Sum | [1,2,3,4] | 10 |
Min | [1,2,3,4] | 1 |
Max | [1,2,3,4] | 4 |
Median | [1,2,3,4] | 2.5 |
💡 Pro Tip: Use “Median” when dealing with outliers that might skew averages!
3. Advanced Field Mapping Techniques
Go beyond basic aggregation with field mapping:
"options": {
"fields": {
"total_sales": "sum",
"highest_sale": "max",
"average_order": "avg"
}
}
This configuration would process three different calculations simultaneously! ⚡
4. Grouping Data Like a Pro
Combine aggregation with grouping for powerful analysis:
// Group sales by region before aggregating
"groupBy": "region",
"operations": [
{
"field": "sales_amount",
"operation": "sum"
}
]
🌍 Output would show total sales per region – perfect for regional performance reports!
5. Handling Multiple Data Streams
Merge data from different sources before aggregating:
- Use Merge Node to combine data
- Then apply Aggregation Node
- Bonus: Add a Sort Node afterward
Example workflow: CRM Data → Merge → Social Media Data → Aggregation → Dashboard
6. Date-Based Aggregation Patterns
🕒 Time-based aggregations are incredibly powerful:
"groupBy": "date",
"options": {
"date": {
"format": "YYYY-MM-DD",
"granularity": "day"
}
}
Perfect for creating daily/weekly/monthly trend reports!
7. Conditional Aggregation with Filters
Only aggregate data that meets certain criteria:
"filters": {
"conditions": [
{
"field": "status",
"operation": "equal",
"value": "completed"
}
]
}
Now your aggregation will only process completed orders! ✅
8. Combining with Function Node
Supercharge aggregations with custom JavaScript:
// In Function Node before aggregation
items.forEach(item => {
item.json.profit = item.json.revenue - item.json.cost;
});
Now you can aggregate the calculated profit field! 💰
9. Error Handling Best Practices
Make your aggregations bulletproof:
- Always add error triggers
- Set default values for missing data
- Use try-catch in Function Nodes
- Test with partial data
10. Real-World Use Cases
Here are practical applications we’ve implemented:
-
E-commerce Dashboard
- Aggregate sales by product category
- Calculate average order value
- Identify top-performing regions
-
Social Media Monitoring
- Combine engagement metrics from multiple platforms
- Calculate average response time
- Identify peak activity hours
-
Inventory Management
- Aggregate stock levels across warehouses
- Calculate turnover rates
- Identify slow-moving items
🔥 Pro Bonus: Save your aggregation configurations as templates for reuse across workflows!
Final Thoughts
The Aggregation Node is one of n8n’s most powerful tools when mastered. Start with simple aggregations and gradually incorporate these advanced techniques to transform how you process data.
💬 Which aggregation technique will you try first? Let us know in the comments!
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