There are 10 steps in data analysis to ensure it is done correctly: decide your goal, collect data, clean it, explore to find patterns, choose the type of analysis to use, apply a statistical or machine learning method, interpret your results, verify your findings, create visualisations for clarity, and make decisions based on your insights. This approach keeps the process careful and produces clear, useful results.
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