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Data science Documentation
Release 0.5.4John Dinero, David Fuller, Alvin Wan, and Sam February 10, 2016Contents12Start Here: data science Tutorial
1.1 Getting Started. . . . . . . . .
1.2 Creating
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What is datascience documentation?
Data science documentation is a detailed record of the data analysis process including data sources, methods, and results.
Who is required to file datascience documentation?
Data scientists, analysts, and researchers who conduct data analysis projects are required to file data science documentation.
How to fill out datascience documentation?
Data science documentation should be filled out by documenting each step of the data analysis process, including data cleaning, data exploration, modeling, and interpretation of results.
What is the purpose of datascience documentation?
The purpose of data science documentation is to provide a transparent and reproducible record of the data analysis process for stakeholders to understand and validate the results.
What information must be reported on datascience documentation?
Data science documentation must include data sources, data preprocessing steps, models used, evaluation metrics, and interpretation of results.
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