ModernDive Labs

Welcome

Welcome to the ModernDive labs page! You can find the following instructor resources:

1. Example problem sets and labs.
2. A term project template.
3. All previous online versions of ModernDive.

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Problem Sets

Jenny Smetzer, William Hopper, Beth Brown and Albert Y. Kim (Smith College) have produced problem sets and lab materials for ModernDive:

• PS01: Introduction to R:
  • A short pre-lecture on R, RStudio, packages, and your first data frame (PDF for printing)
  • Problem set
• PS02: Data visualization with ggplot2:
  • A short pre-lecture explaining the Grammar of Graphics as implemented in the ggplot2 package (PDF for printing)
  • Problem set
• PS03: Data wrangling with dplyr:
  • A short pre-lecture explaining the native pipe |> and dplyr wrangling verbs (PDF for printing)
  • A second pre-lecture on importing data with readr and reshaping it into tidy format with tidyr (PDF for printing)
  • Problem set
• PS04: Regression with one numerical variable:
  • A short pre-lecture on simple linear regression with lm() and the moderndive regression functions (PDF for printing)
  • Problem set
• PS05: Regression with one categorical variable:
  • The PS04 pre-lecture covers this chapter too (PDF for printing)
  • Problem set
• PS06: Multiple regression with one numerical and one categorical variable:
  • A short pre-lecture on parallel slopes and interaction models (PDF for printing)
  • Problem set
• PS07: Sampling distributions:
  • A short pre-lecture on simulating repeated samples and the sampling distribution (PDF for printing)
  • A short recap exercise on the effect of sample size on sampling distributions
  • Problem set
• PS08: Confidence intervals and the bootstrap:
  • A short pre-lecture on the infer workflow for bootstrap confidence intervals (PDF for printing)
  • Problem set
• PS09: Hypothesis testing:
  • A short pre-lecture on permutation tests and p-values with infer (PDF for printing)
  • Problem set
• NEW - PS10: Inference for regression:
  • A short pre-lecture on confidence intervals for a regression slope (PDF for printing)
  • Problem set
• Telling your story with data (no problem set):
  • A short pre-lecture that runs the whole pipeline on one case study (PDF for printing)

Resources:

• Download all necessary files to reproduce these problem sets here: ModernDive_PS.zip.
• Edit the pre-lecture slides yourself: the Quarto source for eleven decks, one per chapter of ModernDive v2, is here: ModernDive_pre_lecture_slides.zip. See the README inside for what you need to render them.
• The join and pivot diagrams in the PS03 pre-lecture slides are adapted from Garrick Aden-Buie’s tidyexplain.
• Obtain solutions (verified instructors only) by filling out this Google Form.

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Term Project

We at ModernDive are enthusiastic proponents of the following learning goal for any course that uses our book: Engage in the data/science research pipeline in as faithful a manner as possible while maintaining a level suitable for novices. We think the best way to satisfy this learning goal is for students to complete a term project!

Resources:

• Check out an example term project by Alexis Cohen, Andrianne Dao, and Isabel Gomez analyzing Massachusetts high school data.
• For more information on how we present the term project to students, see the Term Project page.
• Be sure to look at our data wrangling “Tips & Tricks” ModernDive page written by Jenny Smetzer. It’s based on the seven most common data wrangling questions we’ve encountered from students while they were working on their term projects:

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Previous Versions

These are the previous online versions of the ModernDive textbook that may be out of date:

• Version 1.0.0 released on November 25, 2019 (source code)
• Version 0.6.1 released on August 28, 2019 (source code)
• Version 0.6.0 released on August 7, 2019 (source code)
• Version 0.5.0 released on February 24, 2019 (source code)
• Version 0.4.0 released on July 21, 2018 (source code)
• Version 0.3.0 released on February 3, 2018 (source code)
• Version 0.2.0 released on August 2, 2017 (source code)
• Version 0.1.3 released on February 9, 2017 (source code)
• Version 0.1.2 released on January 22, 2017 (source code)