Answer true or false. Bias and variance errors are errors that could be present in a raw structured data set before the data cleansing process. True False
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Answer true or false.
Bias and variance errors are errors that could be present in a raw structured data set before the data cleansing process.
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- What is the significance of maintaining a version history in a data dictionary?Please given example coding Jupyter notebook (Python) on data transformation techniques : 1. clipping method?2. scaling data?3. log transformation?What exactly are the differences between a Contrast Repository and a Data Dictionary?
- When you say "metadata," what do you mean exactly? In the context of a data set, the following is a definition of metadata: When might it be helpful to use information pulled from a set of results?Somebody told Tshepo that data redundancy causes problems. And yet he has seendatabase designs that have foreign keys that look to him like duplicate data. Q.2.3.1 Explain what foreign keys are. (2)Q.2.3.2 Explain why foreign keys are not redundant data.What does it imply when someone states that data granularity has been specified?