The workflow JSON
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{
"name": "Array Operations",
"description": "Advanced array manipulation including filtering, mapping, sorting, and aggregation",
"category": "data-transformation",
"difficulty": "intermediate",
"estimatedTime": "15 minutes",
"prerequisites": [
"Understanding of arrays",
"Basic expression knowledge"
],
"learningObjectives": [
"Master array manipulation functions",
"Learn filtering and mapping techniques",
"Practice aggregation operations"
],
"nodes": [
{
"parameters": {},
"id": "start",
"name": "Start",
"type": "n8n-nodes-base.start",
"typeVersion": 1,
"position": [
240,
300
]
},
{
"parameters": {
"assignments": [
{
"name": "products",
"value": "[{\"id\": 1, \"name\": \"Laptop\", \"category\": \"Electronics\", \"price\": 999.99, \"stock\": 15, \"rating\": 4.5, \"tags\": [\"computer\", \"portable\", \"business\"]}, {\"id\": 2, \"name\": \"Smartphone\", \"category\": \"Electronics\", \"price\": 699.99, \"stock\": 25, \"rating\": 4.2, \"tags\": [\"mobile\", \"communication\", \"portable\"]}, {\"id\": 3, \"name\": \"Coffee Maker\", \"category\": \"Appliances\", \"price\": 89.99, \"stock\": 8, \"rating\": 4.0, \"tags\": [\"kitchen\", \"coffee\", \"appliance\"]}, {\"id\": 4, \"name\": \"Desk Chair\", \"category\": \"Furniture\", \"price\": 199.99, \"stock\": 12, \"rating\": 4.3, \"tags\": [\"office\", \"seating\", \"ergonomic\"]}, {\"id\": 5, \"name\": \"Tablet\", \"category\": \"Electronics\", \"price\": 329.99, \"stock\": 20, \"rating\": 4.1, \"tags\": [\"portable\", \"touchscreen\", \"entertainment\"]}]"
}
]
},
"id": "set-product-data",
"name": "Set Product Data",
"type": "n8n-nodes-base.set",
"typeVersion": 1,
"position": [
460,
300
]
},
{
"parameters": {
"operation": "parse",
"jsonPath": "$json.products"
},
"id": "parse-products",
"name": "Parse Products",
"type": "n8n-nodes-base.json",
"typeVersion": 1,
"position": [
680,
300
]
},
{
"parameters": {
"assignments": [
{
"name": "highValueProducts",
"value": "{{ $json.data.filter(product => product.price > 300) }}"
},
{
"name": "electronicsCount",
"value": "{{ length($json.data.filter(product => product.category === 'Electronics')) }}"
},
{
"name": "averagePrice",
"value": "{{ round(sum($json.data.map(product => product.price)) / length($json.data), 2) }}"
},
{
"name": "averageRating",
"value": "{{ round(sum($json.data.map(product => product.rating)) / length($json.data), 2) }}"
},
{
"name": "totalStock",
"value": "{{ sum($json.data.map(product => product.stock)) }}"
},
{
"name": "maxPrice",
"value": "{{ max($json.data.map(product => product.price)) }}"
},
{
"name": "minPrice",
"value": "{{ min($json.data.map(product => product.price)) }}"
},
{
"name": "productsByPrice",
"value": "{{ $json.data.sort((a, b) => b.price - a.price) }}"
},
{
"name": "productsByRating",
"value": "{{ $json.data.sort((a, b) => b.rating - a.rating) }}"
},
{
"name": "lowStockProducts",
"value": "{{ $json.data.filter(product => product.stock < 10) }}"
},
{
"name": "categories",
"value": "{{ unique($json.data.map(product => product.category)) }}"
},
{
"name": "allTags",
"value": "{{ unique($json.data.flatMap(product => product.tags)) }}"
},
{
"name": "productCount",
"value": "{{ length($json.data) }}"
}
]
},
"id": "analyze-products",
"name": "Analyze Products",
"type": "n8n-nodes-base.set",
"typeVersion": 1,
"position": [
900,
300
]
},
{
"parameters": {
"assignments": [
{
"name": "summary",
"value": "{{ 'Analyzed ' + $json.productCount + ' products across ' + length($json.categories) + ' categories with average price $' + $json.averagePrice }}"
},
{
"name": "insights",
"value": "{{ {highValueCount: length($json.highValueProducts), lowStockCount: length($json.lowStockProducts), priceRange: {min: $json.minPrice, max: $json.maxPrice}, stockStatus: $json.totalStock > 50 ? 'Good' : 'Low'} }}"
},
{
"name": "reportGenerated",
"value": "{{ formatDate(now(), 'yyyy-MM-dd HH:mm:ss') }}"
}
]
},
"id": "generate-report",
"name": "Generate Report",
"type": "n8n-nodes-base.set",
"typeVersion": 1,
"position": [
1120,
300
]
}
],
"connections": {
"Start": {
"main": [
[
{
"node": "Set Product Data",
"type": "main",
"index": 0
}
]
]
},
"Set Product Data": {
"main": [
[
{
"node": "Parse Products",
"type": "main",
"index": 0
}
]
]
},
"Parse Products": {
"main": [
[
{
"node": "Analyze Products",
"type": "main",
"index": 0
}
]
]
},
"Analyze Products": {
"main": [
[
{
"node": "Generate Report",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {},
"versionId": "1"
}
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About this workflow
Array Operations. Uses start, json. Manual trigger; 5 nodes.
Source: https://github.com/neul-labs/m9m/blob/main/examples/data-transformation/array-operations.json — original creator credit. Request a take-down →
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