Answer-first summary for fast verification
Answer: Error count
The Error count statistic specifically tracks missing or malformed values in each column, making it the optimal choice for detecting columns with odd or missing values. The Profile statistic provides general statistical summaries but doesn't focus on data quality issues. The Std deviation measures data variability around the mean, which helps identify outliers but not specifically missing or malformed values. The Type statistic only shows data types without indicating data quality problems. The community discussion strongly supports Error count with 100% consensus and multiple upvoted comments explaining that Error count directly addresses missing values and data anomalies.
Author: LeetQuiz Editorial Team
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You are profiling data in Azure Machine Learning studio and need to identify columns that contain anomalies or missing values.
Which statistic should you analyze?
A
Profile
B
Std deviation
C
Error count
D
Type