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Learn JavaScript Data Processing with Code Node: Filtering, Analysis & Export Examples

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Created by: David Olusola || dae221

David Olusola

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Last update a day ago

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Overview

A comprehensive educational workflow that demonstrates practical JavaScript usage in n8n's Code node through real-world business scenarios. Perfect for learning data manipulation, transformation, and automation patterns that you can immediately apply to client projects.
What This Template Teaches:

Data Filtering & Transformation - Filter employees by age, calculate bonuses, format contact information
Statistical Analysis - Generate team statistics, averages, role distributions, and KPIs
Multi-Format Export - Create CSV files, email lists, and API-ready payloads from raw data
n8n Best Practices - Proper JSON handling, return formats, and data flow patterns

How It Works:

Manual Trigger starts the workflow with sample employee data
Set Sample Data provides realistic business data (employees with roles, salaries, ages)
Three Code Node Examples process the same data differently:

Filter & Transform: Creates adult employee list with calculated bonuses
Calculate Stats: Generates comprehensive team analytics and reports
Format for Export: Prepares data for external systems (APIs, emails, CSV)

Key Learning Points:

Access input data using items[0].json.propertyName
Return proper n8n format with [{ json: data }] structure
Use JSON.parse() for string-to-object conversion
Apply JavaScript array methods (filter, map, reduce) for data processing
Handle multiple output scenarios and data aggregation

Perfect For:

n8n beginners learning Code node fundamentals
Developers transitioning to n8n automation
Client demos showing data processing capabilities
Team training and onboarding sessions
Foundation for building custom business automation workflows

Business Use Cases:
Transform this template for lead qualification, customer segmentation, report generation, data enrichment, and API integrations. Each Code node pattern can be adapted for different industries and automation needs.