why reproducible The fundamental idea behind a robust, reproducible analysis is a clean, repeatable script-based workflow (i.e. the sequence of tasks from the start to the end of a project) that links raw data through to clean data and to final analysis outputs. principles of a good analysis workflow Any cleaning, merging, transforming, etc. of data should be done in scripts, not manually. Split your workflow (scripts) into logical thematic units.

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Jixing Liu

Reading And Writing

Data Scientist

China