Recall & Review
beginner
What does
dtypes represent in a pandas DataFrame?dtypes shows the data type of each column in a pandas DataFrame, like integers, floats, or strings.
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beginner
How can you check the data type of a single pandas Series?
Use the .dtype attribute on the Series to see its data type.
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beginner
Why is it important to check data types in a DataFrame before analysis?
Because correct data types ensure calculations and operations work properly, like summing numbers or filtering text.
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intermediate
What pandas function can convert a column to a different data type?
You can use pd.to_numeric(), pd.to_datetime(), or astype() to change data types.
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beginner
What data type does pandas use for text/string columns?
Pandas uses the object dtype for text or string columns by default.
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Which attribute shows the data types of all columns in a pandas DataFrame?
✗ Incorrect
.dtypes lists the data types of all columns. .dtype is for a single Series.
What data type does pandas assign to a column with numbers and missing values by default?
✗ Incorrect
Columns with numbers and missing values are usually float64 because integers can't hold NaN.
Which method converts a pandas column to datetime type?
✗ Incorrect
pd.to_datetime() converts columns to datetime type.
If a column contains text, what dtype will pandas usually assign?
✗ Incorrect
Text columns are usually object dtype in pandas.
How do you check the data type of a single pandas Series named
col?✗ Incorrect
col.dtype gives the data type of a single Series.
Explain how to check and interpret the data types of columns in a pandas DataFrame.
Think about how you see the type of each column at once.
You got /3 concepts.
Describe why converting data types in pandas might be necessary before analysis.
Consider what happens if numbers are stored as text.
You got /4 concepts.