For ML learners and analysts preparing features or checking a scaling step by hand. You get count, min, max, mean, standard deviation, min-max scaled values and z-scores.
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You enter
10, 20, 30, 40, 50
The tool shows
Mean 30, std 14.1421; min-max 0, 0.25, 0.5, 0.75, 1; z-scores -1.414, -0.707, 0, 0.707, 1.414
Use min-max when a model needs inputs in a fixed range, such as image pixels or some neural networks. Use z-score standardization when features have different units or outliers, or for models that assume centred data.
Each value becomes (x minus min) divided by (max minus min), so the smallest value maps to 0 and the largest to 1.
The population standard deviation (dividing by n), which matches the default in common scalers such as scikit-learn StandardScaler.
Yes. It is free, needs no sign-up and runs entirely in your browser, so what you type is not uploaded. You only sign in if you want to email a result to yourself or save it to your CareerByteCode profile.
