DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is using Python pandas to perform exploratory data analysis. Which THREE methods are commonly used to assess data quality and distributions?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
df.describe()
describe() gives summary statistics, info() shows data types and non-null counts, and value_counts() shows frequency distributions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
df.transpose()
Why it's wrong here
Transpose rearranges rows and columns; not for data quality.
- ✓
df.describe()
Why this is correct
Provides summary statistics for numerical columns.
- ✓
df.info()
Why this is correct
Shows data types and missing value counts.
- ✗
df.sort_values()
Why it's wrong here
Sorts data but does not assess quality or distributions.
- ✓
df.value_counts()
Why this is correct
Returns frequency counts of unique values in a Series.
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