Tutorials by topic

Automotive & data work

Explore time axes, units, and comparison conditions with synthetic demonstration data.

Articles on this topic 6

Step by step, with examples

Automotive & data work10

Check the time axis and units of a test CSV first

Check units, missing values, finite numbers, and duplicate or reversed timestamps in synthetic demonstration data, then save the check results and a chart.

Vehicle testingTime axisUnit checks
Automotive & data work12

Conditions to record before comparing simulation peak values

If you only put peak stress numbers side by side, differences in mesh, output interval, and evaluation location can look like design changes. Build a comparison condition table from synthetic cases and record the numerical difference together with the range you can actually judge.

Simulation resultsPeak comparisonMesh
Automotive & data work31

Smooth synthetic sensor data with a moving average and check the delay

Apply a three-sample trailing moving average to synthetic acceleration data, verify every filtered value by hand, and make the filter's one-sample alignment delay explicit. The original CSV remains unchanged and the processed data is written to a new folder.

PythonSensorsFiltering
Automotive & data work32

Convert automotive test data between km/h, m/s, g, and m/s²

Convert synthetic vehicle speed and acceleration data into consistent SI units, then convert the results back to check the arithmetic. The script preserves the original CSV and writes the converted values to a new output folder.

PythonUnitsAutomotive
Automotive & data work33

Find the dominant frequency of synthetic vibration data with FFT

Use NumPy FFT on a synthetic vibration signal with a known 2 Hz component, inspect the frequency bins, and verify that the detected dominant frequency matches the input. The original CSV remains unchanged and the spectrum is written to a new output folder.

PythonFFTVibration
Read → Run → Check

All examples are for practice. Automotive data is synthetic and used for illustration.