What is the impact of standardization on data analysis?
Standardization helps ensure consistency in data, making it easier to compare and analyze results across different datasets.
Can you give me an example of how standardization is applied in real-world data analysis?
Sure! In healthcare, standardizing patient data formats allows for better comparison of treatment outcomes across hospitals.
Are there any downsides to standardization in data analysis?
Yes, over-standardization can lead to loss of unique data characteristics, potentially masking important insights.
How does standardization affect machine learning models?
Standardization can improve model performance by ensuring that features contribute equally to the analysis, enhancing accuracy.
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