Manipulating Data 1

Videos for Tuesday, May 26, 2026–Monday, June 1, 2026

The videos below are selected to support and extend the concepts covered this week. Watch them before or after working through the exercises.

dplyr Essentials

Covers the five core dplyr functions: select, mutate, filter, group_by, and summarise — the foundation of data manipulation in R.

Manipulate Data using the Tidyverse

A beginner-friendly introduction to the piping (%>%) workflow and how to chain together data manipulation steps.

Simpson’s Paradox

A clear introduction to one of the most counterintuitive results in statistics — when a trend that appears in grouped data reverses when the groups are combined.

---
title: "Manipulating Data 1"
date: "2026-05-26"
date_end: "2026-06-01"
---

The videos below are selected to support and extend the concepts covered this week. Watch them before or after working through the exercises.

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## dplyr Essentials

Covers the five core dplyr functions: `select`, `mutate`, `filter`, `group_by`, and `summarise` — the foundation of data manipulation in R.

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:::

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## Manipulate Data using the Tidyverse

A beginner-friendly introduction to the piping (`%>%`) workflow and how to chain together data manipulation steps.

::: {.ratio .ratio-16x9}
<iframe src="https://www.youtube-nocookie.com/embed/nRtp7wSEtJA" title="Manipulate Data using the Tidyverse" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
:::

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## Simpson's Paradox

A clear introduction to one of the most counterintuitive results in statistics — when a trend that appears in grouped data reverses when the groups are combined.

::: {.ratio .ratio-16x9}
<iframe src="https://www.youtube-nocookie.com/embed/bArPxj5xhso" title="Simpson's paradox" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
:::

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