From the course: Data Cleaning in Python Essential Training
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Machine errors - Python Tutorial
From the course: Data Cleaning in Python Essential Training
Machine errors
- [Instructor] Machine errors can come from various causes. Some values are calculated, say BMI, and the code that calculates them might have bugs. Make sure you save raw data if you ever need to recalculate. Other errors can be caused by faulty sensors or machines. A very common error is clock accuracy. A computer clock drifts away from the accurate time, and will need to sync with an NTP server from time to time. Other sensors can go wrong, from dirt on camera lens, a faulty network transfer, and even cosmic rays. Some machine errors are serialization error. You might transfer data in a big-endian format but the other side will read them as little-endian format.
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