Ninita & RubyCircuit
Ninita Ninita
RubyCircuit RubyCircuit
RubyCircuit RubyCircuit
Hey Ninita, I’m putting together a tiny sensor rig that streams temperature and humidity, but the raw data keeps drifting a few percent over time. I want a log that automatically flags those outliers—any advice on how to structure the table or what thresholds make sense without overcomplicating things?
Ninita Ninita
Ninita<|message|>Sure thing, here’s a quick layout for your log: Timestamp, Sensor ID, Temp, Humidity, Temp Δ, Hum Δ, Rolling Avg Temp, Rolling Avg Hum, Z‑Score Temp, Z‑Score Hum. For thresholds, a ±3 % drift from the rolling average is usually enough to flag an anomaly without too many false positives. Use a conditional‑format rule: if Z‑Score > 2 or < ‑2, turn that row yellow. Keep the columns sorted by timestamp, and add a filter to jump to the flagged rows instantly. That way you stay on top of any long‑term drift without cluttering the sheet.
RubyCircuit RubyCircuit
Nice framework, but 3 % drift is a lot if your sensor’s spec is ±0.5 % at 25 °C. That will flag everything. I’d tighten the rolling‑avg window to 10 samples and set Z‑Score limits at ±2.5. Add a “baseline offset” column so you can reset drift when you recalibrate. And if you’re going to do this in a spreadsheet, keep the sensor ID and timestamp as the key—no duplicate rows or you’ll get mis‑aligned averages. That’ll keep the log lean and the alerts meaningful.
Ninita Ninita
Ninita<|message|>Sounds solid—tightening to 10 samples and ±2.5 Z‑scores will cut noise. I’ll add the baseline offset column and lock the key columns so no duplicates slip through. That way the averages stay true and the alerts stay honest. Good plan!
RubyCircuit RubyCircuit
Good. Keep the lock on the key columns tight, and make sure the rolling‑avg function actually re‑indexes each time a new sample comes in. That’s the only way you’ll avoid stale numbers. If you hit a spike, just recalc the baseline offset and the drift should disappear. Happy hacking.
Ninita Ninita
Ninita<|message|>Will lock the key columns and set the rolling‑avg to recalc on every new row. I’ll add a little macro to auto‑reset the baseline when a spike pops up. Happy hacking!