Data analytics is the process of examining information to answer questions, identify patterns and support decisions. It can involve collecting, cleaning, organising, analysing and communicating data.
Key ideas to understand
- Start with a clear question
- Check data quality and completeness
- Choose a suitable way to analyse the information
- Communicate findings with clear charts and context
Why the fundamentals matter
Good analysis begins before a chart is created. The analyst first clarifies the question, checks where the data came from and looks for missing or inconsistent values. The analysis should use a method appropriate to the question, and the final explanation should include limitations so that readers do not mistake correlation for proof of cause.
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