Question
A retail company has collected customer transaction data containing the following attributes: (3 Marks)
Customer ID
Age
Gender
City
Purchase Amount
Payment Mode
Describe how you would perform data profiling on this dataset. What are the summary statistics that you
would perform on this data?
Answer :
Word Count : 616
Data profiling is the process of examining a dataset to understand its structure, quality, completeness, consistency, and distribution before performing analysis or visualization. For the given retail customer transaction dataset, data profiling helps identify errors, missing values, duplicate records, unusual patterns, and relationships among variables. It ensures that the dataset is reliable and suitable for business intelligence and decision-making. The first step is to examine the overall structure of the dataset. This includes determining the total number of records, total number of attributes, data types of each field, and whether each attribute contains valid values. Customer ID should be checked as a ____ __________ __________ ______ _____ _____ ________.
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Data profiling is the process of examining a dataset to understand its structure, quality, completeness, consistency, and distribution before performing analysis or visualization. For the given retail customer transaction dataset, data profiling helps identify errors, missing values, duplicate records, unusual patterns, and relationships among variables. It ensures that the dataset is reliable and suitable for business intelligence and decision-making. The first step is to examine the overall structure of the dataset. This includes determining the total number of records, total number of attributes, data types of each field, and whether each attribute contains valid values. Customer ID should be checked as a ____ __________ __________ ______ _____ _____ ________.
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