Potential improvements for v2

[rudeboybert]

@avaldivi6

• Erase Bowl from sections
• Footnote for almonds
• Make sure activity can be replicated by instructors (e.g. went to chemistry department to borrow scales). Be clear this refers to instructors (e.g, "If you are an instructor...")

General

• Add Arturo's bio and photo to Preface.
• Think about moving regression chapters all to the end Keeping where they are to ensure some exploratory regression is done before inferential.
• Currently in v1 CLT is a subsection of Section 7.5. For v2, consider moving it to its own section to make CLT more prominent. Can do this by rebasing Switched section ordering and added to CLT #326 to eventual v2 branch that will get created.
• Refactor Section 7.3 to break down reading into more bite-sized pieces. Rebase Refactoring Ch7 sampling #324
• Per Katie’s suggestion, add discussion on R^2 and R^2-adjusted in Subsection 6.3.1 on Model selection. In particular somewhere after "visual model selection" we do. Can use moderndive::get_regression_summaries() wrapper to broom::augment() to get at these values easily. Can reuse fc4621d. Also per Will’s suggestion, add visualizations illustrating the breakdown of variances that go into R^2.
• Add recap/key concepts to each chapter AND/OR define as learning goals at the outset of each chapter
• In Ch7 Conclusion, consider adding a section on random sampling vs assignment?
• Add exercises at the end of each chapter
• Extend {infer} to more advanced use cases using fit() function
• Use base-pipe |> instead of %>%
• Remove any outstanding HTML comments. <!-- --> (They can be really dangerous if not closed!)
• Address the warning message explicitly for group_by() in text and fix index.Rmd to remove options(dplyr.summarise.inform = FALSE)
• Add relocate() to end of Chapter 3
• Update preface with updates to 2nd edition
• Add almonds data to moderndive package
• Ask Kelly for an updated foreword
• Create branch and link to first edition. 2nd edition stays at moderndive.com
• Change font size of PDF to one point smaller
• Add diagrams for sampling and bootstrapping

nycflights23

• Use the anyflights package to create an nycflights23 package to replace nycflights13 data.
• Update the early_january_weather and alaska_flights data frames in moderndive package to use '23 data
• Update Learning Check solutions in Chapters 1-4 for '23 data
• Explain that nycflights23 is an updated version of nycflights13 using the anyflights package

[wmorgan485]

In Section 9.6.1, the discussion about the warning message to check that conditions have been met for the theoretical method {infer} might be rewritten for clarity. The warning message is generated by a visualize() command with method = "both". However, the discussion about the warning message follows a get_p_value() command using a simulation-based null distribution (null_distribution_movies_t), where this warning doesn't apply (right?). It might be clearer to discuss the warning message before getting the p-value. Or get_p_value might be run instead with a null distribution generated using assume(distribution = "t"), where the warning message would then apply.