Home▸Entomology & Insect Behaviour▸From Raw Numbers to Insight: Analysing and Visualising Beekeeping Data

📊 From Raw Numbers to Insight: Analysing and Visualising Beekeeping Data

A floating 3D statistics lab that turns raw hive inspection numbers into bar charts, time-series scatter plots and control-limit charts, showing how chart choice and outlier thresholds change what a beekeeper notices.

Entomology & Insect Behaviour3DAdvanced60 FPS

A season of synthetic hive-inspection data from a 12-hive apiary, rendered live as a per-hive bar chart or as a time-series scatter plot with a trend line and statistical control-limit band.

🔬 What It Demonstrates

The same underlying dataset looks completely different depending on chart choice: bars reveal which hive is weak right now, while the scatter and trend view reveals seasonal patterns and lets a control-limit band flag statistical outliers.

🎮 How to Use

Pick a metric and chart type, scrub through the 52-week season, and tighten or loosen the outlier threshold to see how many readings get flagged as anomalies in each view.

💡 Did You Know?

Control-limit charts borrowed from manufacturing quality control are now used in precision beekeeping — a hive-weight or mite-count reading drifting outside its normal band is often the earliest sign of trouble.

⚙ Under the hood

beeshive-inspectiondata-visualizationstatisticschartsanalyticsbeekeepingThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install