Numerical Binning
Infoveave Data Automation — Aggregation & Grouping
Continuous numbers in. Labeled ranges out. Pick a mode — statistical or custom — and the bins build themselves.
Raw numeric columns — ages, order values, machine temperatures, credit scores — are hard to visualize and segment directly. Binning turns them into meaningful categories that charts can group, filters can slice, and audience segments can be built from. Numerical Binning does that conversion automatically inside your workflow, with built-in statistical methods or fully custom range definitions.
What Numerical Binning does
Convert continuous numeric data into labeled intervals like 20-40 or 40-60 inside your Infoveave workflow. Multiple binning modes from automatic statistical rules to fully custom ranges.
When to use Numerical Binning
- You want to segment customers, patients, or products into age groups, value tiers, or size classes for reporting
- Your BI dashboard needs categorical groups from continuous data — like Low, Medium, and High risk from a numeric score
- You are preprocessing a numeric feature for a machine learning model that expects categorical inputs
- You want to simplify a metric with high precision into meaningful buckets for an executive or operational report
When to avoid it
- Your column already contains categorical values — binning only works on numeric data
- You need to aggregate values within bins — run Numerical Binning first to add the bin label, then Aggregate Data by Column to sum or count within each bin
- You are working with date ranges rather than numeric ranges — use Extract Date Component or Aggregate Data by Time instead
Where it fits in your Infoveave automation
Numerical Binning is one step inside a multi-step Infoveave workflow. Chain it with other activities — no code, no manual hand-offs.
Build this workflow visually in Infoveave Data Automation — drag, connect, and schedule with no infrastructure setup.
How teams use Numerical Binning
Real scenarios where this transformation saves hours of manual work.
Order Value Tiers for Customer Segmentation
A retail analytics team bins order values into Low, Medium, and High tiers on every orders export. The workflow adds the tier label automatically, letting the CRM team target each segment with the right offer without anyone manually writing IF formulas.
Patient Age Groups for Clinical Reporting
A health analytics team groups patient ages into decade ranges — 20–30, 30–40, 40–50 — for clinical dashboards. Numerical Binning adds the age group column automatically on every patient data refresh, standardizing group definitions across every report.
Credit Score Bands for Risk Dashboards
A bank's risk team segments applicants into score bands — Poor, Fair, Good, Excellent — before feeding data into approval dashboards. The workflow adds the band label on every application batch, replacing the manual scoring classification step.
See Numerical Binning in action
Input data (left) is transformed using the configuration below. The output table (right) is ready for dashboards or downstream steps.
AgeFixed Size Intervals420100Age_BinnedEnabledInput Data
| Age |
|---|
| 23 |
| 35 |
| 47 |
| 59 |
| 72 |
| 89 |
Output Data
| Age | Age_Binned |
|---|---|
| 23 | 20-40 |
| 35 | 20-40 |
| 47 | 40-60 |
| 59 | 40-60 |
| 72 | 60-80 |
| 89 | 80-100 |
Configuration
Key fields to configure in the Infoveave workflow builder. Full reference available in the documentation.
Column
The numeric column to bin. Only numeric data types are supported. If your column contains text-formatted numbers, convert it first using a type cast step.
Binning Mode
Six modes to choose from. Sturges and Square Root work well for smaller datasets with roughly normal distributions. Freedman Diaconis handles outlier-heavy data robustly. Scott minimizes binning error based on standard deviation. Fixed Size Intervals lets you define exact width and range. Custom lets you specify each bin boundary individually.
Output Column
The name of the new column that will contain the bin labels in the output. Give it a descriptive name — like Age_Group or Score_Band — so downstream steps and reports stay readable.
Include Original
Toggle on to keep the original numeric column alongside the new bin label column. Toggle off to replace it — useful when the raw number adds no value to downstream consumers and you want a leaner output.
Frequently asked questions
Everything you need to know about Numerical Binning in Infoveave.
Also in Aggregation & Grouping — and what runs before & after
Transformations in the same family as Numerical Binning, often chained together in the same Infoveave workflow.
Part of Infoveave Data Automation
80+ transformations. Zero manual steps.
Numerical Binning is one of over 80 transformation activities available inside Infoveave workflows. Chain transformations together — no code, no exports, no waiting for IT.
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