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--- | ||
title: "ggplot2 Book Club" | ||
author: "The R4DS Online Learning Community" | ||
author: "The Data Science Learning Community" | ||
date: "`r Sys.Date()`" | ||
site: bookdown::bookdown_site | ||
documentclass: book | ||
bibliography: book.bib | ||
biblio-style: apalike | ||
link-citations: yes | ||
github-repo: r4ds/bookclub-ggplot2 | ||
description: "This is the product of the R4DS Online Learning Community's Book Club." | ||
description: "This is the product of the Data Science Learning Community's Book Club." | ||
--- | ||
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# Welcome {-} | ||
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This is a companion for the book [ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/index.html) by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen. | ||
This companion is available at [https://r4ds.github.io/bookclub-ggplot2](https://r4ds.github.io/bookclub-ggplot2). | ||
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This website is being developed by the [R4DS Online Learning Community](https://rfordatasci.com). Follow along, and [join the community](https://r4ds.io/join) to participate. | ||
This website is being developed by the [Data Science Learning Community](https://dslc.io). Follow along, and [join the community](https://dslc.io/join) to participate. | ||
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This companion follows the [R4DS Online Learning Community Code of Conduct](https://r4ds.io/conduct). | ||
This companion follows the [Data Science Learning Community Code of Conduct](https://dslc.io/conduct). | ||
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## Book club meetings {-} | ||
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- Each week, a volunteer will present a chapter from the book. | ||
- **This is the best way to learn the material.** | ||
- Presentations will usually consist of a review of the material, a discussion, and/or a demonstration of the principles presented in that chapter. | ||
- More information about how to present is available in the [github repo](https://github.com/r4ds/bookclub-ggplot2). | ||
- Presentations will be recorded, and will be available on the [R4DS Online Learning Community YouTube Channel](https://r4ds.io/youtube). | ||
- Presentations will be recorded, and will be available on the [Data Science Learning Community YouTube Channel](https://dslc.io/youtube). |