How often should I clean my data?
The frequency of data cleaning depends on the type of data and how often it changes. For dynamic data, weekly cleaning might be necessary.
What are the signs that my data needs cleaning?
Signs include inconsistencies, duplicates, missing values, and outdated information. Regular checks can help identify these issues.
Can you suggest a data cleaning schedule?
Sure! For transactional data, consider cleaning weekly. For static data, a monthly review might suffice.
What tools can I use for data cleaning?
Popular tools include OpenRefine, Trifacta, and Python libraries like Pandas for automated cleaning tasks.
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