# How to automatically detect and correct false information in columnar data?

I'm working on data cleaning and I'm stuck. I have a data set with 3 columns: id, age, and weight.

Supposing I have an entry:

id:1 | age:3 (years)  | weight: 150 (kg)


How can we detect that the information is wrong, assuming I have a thousand lines?

And how can I correct it (using Python)?

Is there any function in Python that I can use or should I use machine learning techniques?
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