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Recipes
- 1. Literate programming I
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- 2. Literate programming II
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- 3. Reading, inspecting, and writing data
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- 4. Descriptive assessment of datasets
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- 5. Project management with Git, GitHub, and RStudio Cloud
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- 6. Control statements, custom functions, and iteration
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- 7. Tidying data: regular expressions and reshaping datasets
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- 8. Dataset manipulation: tokenization and joining datasets
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- 9. Statistical inference: prep, assess, interrogate, evaluate, and report
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- 10. Predictive models: prep, train, test, and evaluate
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- 11. Exploratory methods: descriptive and unsupervised learning analysis methods
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