Discuss various method for data cleaning
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1.Data Auditing:
The first step towards data cleansing, is the complete auditing of all customer databases.
2.Use Multiple Methods:
The process of auditing of a database should not be limited to analysis through statistical or database methods and additional steps like buying external data and comparing it against internal data can be used.
3.Consolidate Data:
The process of cleansing the database should not be limited to just the identification and removal of dirty (inaccurate) data from customer database.
hope it helps!!
The first step towards data cleansing, is the complete auditing of all customer databases.
2.Use Multiple Methods:
The process of auditing of a database should not be limited to analysis through statistical or database methods and additional steps like buying external data and comparing it against internal data can be used.
3.Consolidate Data:
The process of cleansing the database should not be limited to just the identification and removal of dirty (inaccurate) data from customer database.
hope it helps!!
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4
- Remove Irrelevant Values. The first and foremost thing you should do is remove useless pieces of data from your system.
- Get Rid of Duplicate Values. Duplicates are similar to useless values – You don't need them.
- Avoid Typos (and similar errors).
- Convert Data Types.
- Take Care of Missing Values.
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