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A guided activity to practice building univariate and multivariate linear regression models and how to perform model selection using k-fold cross-validation.
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Continuation of web-scraping activity.
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Interactive demo on how to use the rvest web-scraping tools.
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Interactive demonstration showing how to apply the Tidy Data principles to a typical classroom gradebook.
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Additional practice with the dplyr using vehicle towing data posted by the city of Chicago.
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Continuation of the interactive demonstration of the major features found in the dplyr package.
Reading about how to use R to compute, visualize, and apply percentiles of a dataset.
Reading about how to connect probabilities with values in a dataset.
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An interactive demonstration of the major features found in the dplyr package.
How to write about visualizations of univariate (one variable) and bivariate (two variables) data.
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Practice editing RMarkdown files and saving to Github.
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