🔍 Today we are exploring municipality invoicing Data combining FME and R.
Efficient data preparation and comprehensive exploration are key to extracting meaningful insights.
🚀 Data Preparation with FME
✅Data Import : Import any format (here Excel)
✅Data Cleaning : Attribute Removal, Attribute Renaming:
📊 Data Exploration with R
✅Loading Data: Clean dataset loaded into R using RCaller.
✅Visualizations: Used DataExplorer to create histograms, box plots, and correlation matrices, revealing data patterns and relationships.
🌟 Why This Approach Works
Combining FME and R creates a seamless workflow:
🦎FME: Ensures data is clean and structured.
🧮R: Provides tools for advanced analysis and visualization.
Interested in implementing these solutions for your business as an app or an automation? We’re here to help! Contact us to build this as a service tailored to your needs. Let’s take your data validation to the next level! 😎 📬
Suomi
Svenska
