Which first step should a Data Analyst take to clean their data?
Answers
Answer:
remove of duplicates or irrelevant observations
Answer:
The first step a Data Analyst should do is to Remove all outliers.
Explanation:
One of the most important strategies for ensuring data quality and database integrity is data cleansing.
It enables effective data management as well as the evaluation of information's accuracy when making decisions.As regulatory compliance requirements become more strict and concentrated, maintaining excellent data quality becomes increasingly important.Running programmes can lead to errors, which can result in revenue loss and other issues, because organisations have a lot of data, both internally and externally, and most of it isn't clean.As a result, data management best practises are critical for improved analytics.Data profiling is the initial step in data purification, and it allows us to spot outliers and anomalies in the data.
The field is normalised, de-duplicated, and obsolete information is eliminated once it has been profiled, among other things.
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