Bit:plot – visualizing micro:bit science data

Dear Colleagues!😁

Let me share my latest project with you: bit:plot. 📊

The micro:bit (or any other microcontroller) is excellent for carrying out science measurements, but its built-in data-visualisation tools are limited and don’t always allow the data to be displayed properly.

bit:plot was built to be a data-visualisation interface that puts no technical obstacle between measuring and analysing: it runs in the browser, you just plug the device in over USB and open a link, and the data starts drawing straight away. No installation, no sign-up, and no server behind it — your data stays on your own computer the whole time, nothing is uploaded to the internet. 🔒

What it can do so far:

📈 13 chart types — line, bars, scatter, histogram, box plot, pie, 3D motion path, radar
🔮 Prediction — curve fitting (linear, exponential, logistic) with forecasting
🆚 Comparison — reload earlier measurements, several datasets on one chart
📋 Table view — click a row and that exact moment is highlighted on the chart
💾 Save to CSV and PNG — ready for the lab report
🇬🇧-🇭🇺-🇩🇪 English, Hungarian and German interface

If you don’t have a device at hand, you can download a ready-made measurement from the start page and try almost every feature with it. Live measuring needs Chrome or Edge; any browser will do for the analysis.

If you find it useful, there’s also an option on the start page to support the development, but it isn’t a condition for anything😁. The tool will stay free for as long as it’s available.

#microbit #STEM #edtech

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