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# What is Data Visualization? | ||
*by [Jack Dougherty](introduction/who.md), last updated February 28, 2017* | ||
## What is Data Visualization? {#what} | ||
*last updated February 28, 2017* | ||
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Data visualization is broadly defined as a method of encoding quantitative, relational, or spatial information into images. Classic examples include [Charles Menard's figurative map](https://en.wikipedia.org/wiki/Charles_Joseph_Minard) of Napoleon's defeat and retreat during the Russian campaign of 1812, and [John Snow's dot map](https://en.wikipedia.org/wiki/John_Snow) of cholera cases during the London epidemic of 1854. | ||
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This free online introductory book focuses on selected topics in data visualization: | ||
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**Charts and maps:** Despite the growing variety of visualization types, this book features chapters on creating [charts](../chart) and [maps](../map), and a wide range of ways to communicate with these classic models. | ||
**Charts and maps** Despite the growing variety of visualization types, this book features chapters on creating [charts](chart) and [maps](map), and a wide range of ways to communicate with these classic models. | ||
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**Reusable tools and templates:** Unlike infographics created for one-time use, all of the tools and templates in this book are recyclable, and allow you to upload a new dataset to display your story. | ||
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**Free and easy-to-learn:** We have selected data visualization tools that are free to use (or work on a freemium model, where advanced features or higher usage requires payment), and searched for those that we believe are easy-to-learn, based on our teaching experience with undergraduate students and non-profit community organizations. | ||
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**Interactive on the open web:** Many books assume that you will deliver your data visualizations to in-person audiences on printed paper or presentation slides. But in this book, we show how to [embed interactive charts and maps on your website](../embed), to share with the wider public. | ||
**Interactive on the open web:** Many books assume that you will deliver your data visualizations to in-person audiences on printed paper or presentation slides. But in this book, we show how to [embed interactive charts and maps on your website](embed), to share with the wider public. | ||
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**Storytelling:** Data visualization is more than pretty pictures. In this book, the best visualizations are those that [tell your data story](../story) -- and pull readers' attention to what really matters -- by combining images and text, and offering exploration with explanation. | ||
**Storytelling:** Data visualization is more than pretty pictures. In this book, the best visualizations are those that [tell your data story](story) -- and pull readers' attention to what really matters -- by combining images and text, and offering exploration with explanation. | ||
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## Learn more | ||
#### Learn more {-} | ||
- Michael Friendly and Daniel J. Denis, “Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization,” 2001, http://www.datavis.ca/milestones/ | ||
- Isabel Meirelles, Design for Information: An Introduction to the Histories, Theories, and Best Practices Behind Effective Information Visualizations (Rockport Publishers, 2013), http://isabelmeirelles.com/book-design-for-information/ | ||
- Edward Tufte, The Visual Display of Quantitative Information (Graphics Press, 1983), and subsequent works at https://www.edwardtufte.com | ||
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{% footer %} | ||
{% endfooter %} |
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## Authors and Contributors {#authors} | ||
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UPDATE THIS: Contributors to *Data Visualization for All* are credited in the byline to specific pages they authored (or co-authored), hold the copyright to those pages (jointly if co-authored), and have agreed to freely share the work as an open-access book. *Data Visualization for All* is copyrighted by Jack Dougherty and contributors and distributed under a [Creative Commons BY-NC 4.0 International License](http://creativecommons.org/licenses/by-nc/4.0/). You may freely share and modify this content for non-commercial purposes, with a source credit to: http://DataVizForAll.org | ||
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| Co-Authors | About Us | | ||
| --------------- | ------------- | | ||
|  | [Jack Dougherty](http://bit.ly/jackdougherty) is Professor of Educational Studies at Trinity College in Hartford, Connecticut. He and his [DataViz students](http://commons.trincoll.edu/dataviz) partner with community organizations to help tell their data stories on the web. Follow him on [Twitter](https://twitter.com/doughertyjack) and [on GitHub](https://github/com/jackdougherty).| | ||
|  | [Ilya Ilyankou](https://www.linkedin.com/in/ilya-ilyankou-a64675ab) is completing a double major in Computer Science and Studio Arts in the Class of 2018 at Trinity College. He developed Leaflet and Highcharts code templates for this book. Follow [ilyankou on GitHub](https://github.com/ilyankou). | | ||
| Contributors | | | ||
|  | [Veronica X. Armendariz](https://www.linkedin.com/in/veronica-armendariz-4b814899) earned her bachelor's degree in Educational Studies in 2016 from Trinity College, where she also served as a teaching assistant for the [DataViz internship seminar](http://commons.trincoll.edu/dataviz). She contributed tutorials for this book. | | ||
|  | Stacy Lam is a co-instructor for the [Data Visualization for All online course](http://www.datavizforall.org/enroll) at Trinity College, where she is a prospective Engineering major in the Class of 2019. She contributed to chapters for this book.| | ||
|  | [David Tatem](http://www.trincoll.edu/LITC/its/about/Pages/Learn.aspx) is a co-instructor for the [Data Visualization for All online course](http://www.datavizforall.org/enroll) at Trinity College, where he is an Instructional Technologist who specializes in the Social Sciences. He contributed to chapters for this book.| | ||
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Funding for student contributions to this book was generously provided by the [Community Learning Initiative](http://www.trincoll.edu/urbanglobal/cugs/students/cli/Pages/default.aspx) and [Information Technology Services](http://www.trincoll.edu/LITC/its/Pages/default.aspx) at [Trinity College in Hartford, Connecticut](http://www.trincoll.edu). | ||
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Live videos were produced with Trinity College Information Technology staff and friends: Angie Wolf, Sean Donnelly, Ron Perkins, Samuel Oyebefun, Phil Duffy, and Christopher Brown. | ||
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#### Trademarks {-} | ||
Any use of a trademarked name without a trademark symbol is for readability purposes only. We have no intention of infringing on the trademark. | ||
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- BatchGeo is a registered trademark of BatchGeo, LLC | ||
- CARTO is a registered trademark of CartoDB, Inc. | ||
- GitBook is a registered trademark of FriendCode, Inc. | ||
- GitHub and the GitHub logo are registered trademarks of GitHub, Inc. | ||
- Google and the Google logo are registered trademarks of Google Inc. | ||
- Highcharts is a registered trademark of Highsoft, Norway | ||
- Social Explorer is a registered trademark of Social Explorer, Inc. | ||
- WordPress is a registered trademark of the WordPress Foundation | ||
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#### Disclaimer {-} | ||
The information is this book is provided without warranty. The lead author, contributors, and publisher have neither liability nor responsibility to any person or entity related to any loss or damages arising from the information contained in this book. |
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# How to Read and Comment | ||
*by [Jack Dougherty](introduction/who.md), last updated February 28, 2017* | ||
## How to Read and Comment {#read} | ||
*last updated February 28, 2017* | ||
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*Data Visualization for All* refers to both this open-access digital book and a [free online course](../enroll) by the same name. We refer to them as "the book" and "the course." | ||
** TO DO: update section ** | ||
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## Recommended: Read the online edition | ||
We designed the book to be read online, in any modern web browser, on desktops, laptops, or mobile devices. The online edition features interactive charts and maps that you can explore, and video tutorials that you can view at your own pace. If desired, readers can freely download any of the ebook editions--[PDF](https://www.gitbook.com/download/pdf/book/jackdougherty/datavizforall) or [ePUB](https://www.gitbook.com/download/epub/book/jackdougherty/datavizforall) or [Mobi/Kindle](https://www.gitbook.com/download/mobi/book/jackdougherty/datavizforall)--but these do not include the interactive features in the online web edition. Learn more about [how GitBook works](../gitbook) and publish your own book. | ||
*Data Visualization for All* refers to both this open-access digital book and a free online course by the same name. We refer to them as "the book" and "the course." **TO DO: add link to course** | ||
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## Open links in new tabs | ||
#### Recommended: Read the online edition {-} | ||
We designed the book to be read online, in any modern web browser, on desktops, laptops, or mobile devices. The online edition features interactive charts and maps that you can explore, and video tutorials that you can view at your own pace. If desired, readers can freely download any of the ebook editions--but these do not include the interactive features in the online web edition. Learn more about [how GitBook works](../gitbook) and publish your own book. | ||
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#### Open links in new tabs {-} | ||
Keep your place when reading online and moving between pages. | ||
- Two-finger trackpad click | ||
- or Control + click (Mac) | ||
- or Alt + click (Chromebook) | ||
- or right-click (Windows and others) | ||
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 | ||
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## Use a second monitor | ||
#### Use a second monitor {-} | ||
If you have a small screen, consider connecting a second monitor, or work next to a second computer or tablet. This allows you to view tutorials in one screen and build visualizations in the other screen. | ||
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## Refresh browser | ||
#### Refresh browser {-} | ||
To view the most up-to-date content in your web browser, do a "hard refresh" to [bypass any saved content in your browser cache](https://en.wikipedia.org/wiki/Wikipedia:Bypass_your_cache). | ||
- Ctrl + F5 (most Windows-Linux browsers) | ||
- Command + Shift + R (Chrome or Firefox for Mac) | ||
- Shift + Reload button toolbar (Safari for Mac) | ||
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## Comment on any paragraph | ||
#### UPDATE Comment on any paragraph {-} | ||
- Requires a free account on GitHub http://github.com | ||
- Select text and click the plus symbol (+) in margin. | ||
- GitBook section headers and lists cannot accept comments. | ||
- View other comments in the margins, or all in [Discussions](https://www.gitbook.com/book/jackdougherty/datavizforall/discussions). | ||
- Constructive criticism and suggestions are welcome. | ||
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## Suggest revisions on any page | ||
#### UPDATE Suggest revisions on any page {-} | ||
- Click "Edit on GitHub" at top of any page, which opens new tab. | ||
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- To view the code behind the page, click Raw button. | ||
- To suggest revisions, click Editor button (pencil symbol). Requires free [GitHub account](http://github.com). | ||
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- After entering revisions, scroll down to click Propose File Change. | ||
- On next screen, click Create Pull Request to submit proposed changes to the book owner. | ||
- On next screen, click Create Pull Request again to confirm. | ||
- The book owner will review your suggested revisions, and you will receive automatic notification on any changes. | ||
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## Propose additional chapters | ||
- [Contact the lead author](who.md) with a summary of your proposed chapter. | ||
- On the [book GitHub repository](https://github.com/JackDougherty/datavizforall), fork a copy to your own GitHub account (requires free signup). | ||
- Create your proposed chapter following the book's existing folder/file structure, in GitHub/GitBook Markdown format, as described in this chapter [about GitBook](../gitbook). | ||
#### Propose additional chapters {-} | ||
- [Contact the authors](introduction.html#who) with a summary of your proposed chapter. | ||
- On the [book GitHub repository](https://github.com/datavizforall), fork a copy to your own GitHub account (requires free signup). | ||
- Create your proposed chapter following the book's existing folder/file structure. | ||
- If accepted, the contributing author retains the copyright to their work but agrees to publish it under the Creative Commons BY-NC license. Authors do not receive royalties, but enjoy the eternal rewards of sharing knowledge. | ||
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{% footer %} | ||
{% endfooter %} |
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# Choose Tools to Tell Your Data Story | ||
*by [Jack Dougherty, Stacy Lam, and David Tatem](../introduction/who.md), last updated February 10, 2017* | ||
# Choose Tools to Tell Your Data Story {#choose} | ||
*by [Jack Dougherty with Stacy Lam and David Tatem](authors), last updated February 10, 2017* | ||
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Do you feel overwhelmed by the enormous range of data visualization tools? There's been so many different tools released in recent years that anyone would have a hard time deciding which ones to use. Even if you limit your choices to the dozen or so tools specifically mentioned in this book, how do you make wise decisions? | ||
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- [Draw and Write Your Data Story](draw) reminds us to start with the most important item in your toolkit: ***your story***. Begin by drawing pictures and writing questions or sentences to capture your ideas on paper, and then choose the most appropriate tools to create your vision. | ||
- [Ask Questions When Choosing Tools](ask) lists several criteria to consider when making software decisions. Many of us look for free or affordable tools in the perfect sweet spot -- easy-to-learn, yet powerful -- and that's the focus of this book. | ||
- [Ask Questions When Choosing Tools](ask) lists several criteria to consider when making software decisions. Many of us look for free or affordable tools in the perfect sweet spot---easy-to-learn, yet powerful---and that's the focus of this book. | ||
- [Rate Three Simple Map Tools](rate) invites readers to create a basic interactive point map using three different online tools, and to evaluate each one using selected criteria from the chapter above. | ||
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**[Enroll in our free online course](../../enroll)**, which introduces these topics in the brief video below, and offers more exercises and opportunities to interact with instructors and other learners. | ||
{%youtube%}SS1BGp_lxnU{%endyoutube%} | ||
Enroll in our free online course **TO DO add link**, which introduces these topics in the brief video below, and offers more exercises and opportunities to interact with instructors and other learners. | ||
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{% footer %} | ||
{% endfooter %} | ||
#### Watch the YouTube Video {-} | ||
<iframe width="560" height="315" src="https://www.youtube.com/embed/SS1BGp_lxnU?rel=0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe> |
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