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You need to profile a dataset from a financial institution containing transaction records with fields such as 'TransactionID', 'Amount', 'Date', 'CustomerID', and 'FraudFlag'. Describe the process you would follow to understand the structure, content, and quality of this data. Include specific techniques you would use to identify outliers, missing values, and potential data inconsistencies.
A
Use summary statistics and histograms to identify outliers and missing values.
B
Apply clustering algorithms to detect data inconsistencies.
C
Perform correlation analysis to understand data structure.
D
Use box plots and scatter plots to identify outliers and missing values.