How can you ensure that your data is free from bias?

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Data bias is a serious problem that can affect the validity, reliability, and ethics of your data analysis. Data bias occurs when your data is not representative of the reality you want to study, or when your data collection, processing, or interpretation is influenced by subjective or external factors. Data bias can lead to inaccurate, misleading, or harmful conclusions and decisions. To ensure that your data is free from bias, you need to follow some best practices throughout the data lifecycle. Here are some tips to help you avoid data bias and improve your analytical skills.

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