| Activity # | Activity | Topic |
|---|---|---|
| 1 | Activity 1 — Measuring Leaves and Entering Data | Field observations, hypotheses, and organizing data |
| 2 | Activity — Introduction to R and Positron | From the console to your first plot with the leaf data |
| 3 | Activity 03 - GGPlot I | Grouped summaries, facets, and the pipe into ggplot |
| 4 | Activity 04 - GGPlot II | New data, safe zooming, distributions, themes, and patchwork |
| 5 | Activity 05 - Wrangling data | filter, select, mutate, arrange — and chaining them into a pipeline |
| 6 | Activity 06 - Summary statistics | Mean, median, spread, and describing groups the tidy way |
| 7 | Activity 07 — Your First Quarto Report | Read the data, plot it, describe it, test it — then render to Word, PDF, and slides |
| 9 | Activity 09 — T-Tests I: Setting Up the Test | Hypotheses and checking assumptions before we test |
| 10 | Activity 10 — T-Tests II: Two-Sample vs. Paired | Check the assumptions, run both tests, plot and report the result |
| 11 | Activity 11 — Linear Regression | Calibrate paper, convert tracings to leaf area, then test sunny against shady |
| 12 | Activity 12 — Real Climate Data in R | How fast is your city warming? (regression on time) |
| 14 | Activity 14 — Find Your Own Data | Browse real data sources, load a candidate in R, and draft your Milestone 1 |
| 15 | Activity 15 — Wide, Long, and Wild: Pivoting Real Data | Reshaping Lake Superior ice cover with pivot_longer() and pivot_wider() |
| 19 | Activity 16 — Joins: Combining Two Fisher Monitoring Tables | Keys, mutating joins, and filtering joins on a fisher reintroduction dataset |
| 20 | Activity 17 — Mapping: Bigfoot, Moose, and Live Maps | Points on a map with sf, real occurrence records from GBIF, and a map you can zoom |
| 21 | Activity 18 — Mapping Redux: Ranges That Move | Time on a map with facets, convex hulls and hex grids, two species at once, and an interactive ggplotly map |
| 22 | Worksheet — Final Project Pitch Day | A 3-minute pitch of your question, data, and plan — plus structured peer feedback |
| 24 | Activity 19 — One-Factor ANOVA: Start to Finish | Seven Australian possum sites, eight steps, and the one question F cannot answer |
| 25 | Activity 20 — ANOVA II: Wētā, and Correcting for Size | The same eight steps, two traps the possums never showed us, and a result that vanishes |
| 27 | Activity 21 — PCA I: Many Measurements, Few Axes | Six stats per Pokémon, two invented axes, and how to tell whether they mean anything |
| 28 | Activity 22 — PCA II: Loadings, Scores, and the Biplot | What PC2 means, labelling the interesting points, and reading arrows |
| 29 | Worksheet — Final Poster Session | Present your finished analysis as a poster and run a structured peer review |
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