AQA GCSE Statistics · 8382

Data Cleaning Techniques

What you need to know

Explain why raw data often requires 'cleaning' before further statistical processing.
Identify and resolve data issues in spreadsheets, such as wrongly recorded values detected through row and column totals or data inconsistency.
Apply appropriate techniques to clean data, including the removal of extraneous notation or symbols from datasets.