lesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table buglesson 4 of 6 · missing values, dtypes, and the silent model bugmissing values, dtypes, and the silent table bug
A column is 60% missing, and df["age"].mean() still returns a confident-looking 34.2. What is pandas actually doing, and what should you check?