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11 changes: 8 additions & 3 deletions 40_data_visualization.Rmd
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* Elijah Meeks, ["What Charts Do"](https://medium.com/@Elijah_Meeks/what-charts-do-48ed96f70a74) (2018-05-21) is a succinct summary that's worth reading.

* Cole Nussbaumer Knaflic, [_Storytelling with Data_] [@NussbaumerKnaflic_2015]. A great introduction to the fundamentals of good visualization. The [companion blog](https://www.storytellingwithdata.com/) has is an on-going series of further dives into the topic.
* Cole Nussbaumer Knaflic, _Storytelling with Data_ [@NussbaumerKnaflic_2015]. A great introduction to the fundamentals of good visualization. The [companion blog](https://www.storytellingwithdata.com/) has an on-going series of further dives into the topic.

* Naomi Robbins, _Creating More Effective Graphs_. [@Robbins_2013]

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- background: ["Multiple views on how to choose a visualization"](https://medium.com/multiple-views-visualization-research-explained/multiple-views-on-how-to-choose-a-visualization-b3ffc99fcddc), 2019-04-24, at medium.com


* Michael Friendly, [DataVis.ca](http://datavis.ca/) -- a variety of resources, including the "Milestones Project" (significant events in the history of data visualization), books, courses, papers, and R materials.


* Kieran Healy _Data Visualization: A practical introduction_. [@Healy_2019]

- [online version](http://socviz.co/)
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* [R Graph Catalog](http://shiny.stat.ubc.ca/r-graph-catalog/) -- an unbeatable resource for making good graphs in R, described by the creators as "a complement to _Creating More Effective Graphs_ by Naomi Robbins." [@Robbins_2013]

* Michael Friendly and David Meyer (2016) _Discrete Data Analysis with R_ [@Friendly_Meyer_2016]

* Kieran Healy _Data Visualization: A practical introduction_. [@Healy_2019]

- [online version](http://socviz.co/)
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### extensions

**ggplot2** extensions, catalogued at [www.ggplot2-exts.org](https://www.ggplot2-exts.org/index.html)
There are many extension packages that allow you to make other visualizations in **ggplot2**. Some are catalogued at [www.ggplot2-exts.org](https://www.ggplot2-exts.org/index.html).

* Gallery of **ggplot2** extensions: [ggplot2-exts.org/gallery/](ggplot2 extensions - gallery )

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** _Note:_**

There are many extension packages that allow you to make other visualizaitons in **ggplot2**; they are referenced below.


### Plotly
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@Book{Friendly_Meyer_2016,
title = {Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data},
author = {Michael Friendly and
David Meyer},
publisher = {CRC Press},
year = {2016},
isbn = {ISBN 978-1-4987-2583-5},
}



@Book{Gelman_etal_2014,
title = {Bayesian Data Analysis (Third Edition)},
author = {Andrew Gelman, John B. Carlin,
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**Cover image**

For the cover, I wanted to use a photo of the Main Hall of the old Cincinnati Library, which one can find all over the internet. But going to source, I see that it's _not_ offered by the Public Library of Cincinnati under an open license. But you can follow [this link and see it there](https://www.flickr.com/photos/cincinnatipubliclibrary/3357891281).
For the cover, I wanted to use a photo of the Main Hall of the old Cincinnati Library, which one can find all over the internet. But going to the source, I see that it's _not_ offered by the Public Library of Cincinnati under an open license. But you can follow [this link and see it there](https://www.flickr.com/photos/cincinnatipubliclibrary/3357891281).


This book is written in **Markdown**, using the **bookdown** package.
This book is written in **Markdown**, using the [**bookdown**](https://bookdown.org/yihui/bookdown/) package, and published to the web at [bookdown.org](https://bookdown.org/).


```{r eval=FALSE}
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