<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Visualization Books on Visual Cinnamon</title><link>https://www.visualcinnamon.com/tags/data-visualization-books/</link><description>Recent content in Data Visualization Books on Visual Cinnamon</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 14 Oct 2025 10:47:29 +0200</lastBuildDate><atom:link href="https://www.visualcinnamon.com/tags/data-visualization-books/index.xml" rel="self" type="application/rss+xml"/><item><title>CHART: Designing Creative Data Visualizations from Charts to Art</title><link>https://www.visualcinnamon.com/chart/</link><pubDate>Thu, 25 Sep 2025 00:00:00 +0000</pubDate><guid>https://www.visualcinnamon.com/chart/</guid><description>&lt;figure class='chart__img' &gt;&#10; &#10; &lt;img src='https://www.visualcinnamon.com/img/books/chart/chart_cover.jpg' loading="lazy"&gt;&#10; &#10; &lt;figcaption&gt;CHART: Designing Creative Data Visualizations from Charts to Art&lt;/figcaption&gt;&#10;&lt;/figure&gt;&#10;&#10;&lt;h1 id="c-h-a-r-t"&gt;C H A R T&lt;/h1&gt;&#10;&lt;p&gt;Ready to take your data visualizations from ordinary charts to compelling data art? My new book, &lt;strong&gt;CHART: Designing Creative Data Visualization from Charts to Art&lt;/strong&gt;, is your guide. It&amp;rsquo;s an invitation to break the mold and unleash your creativity, helping you make visuals that not only inform but also captivate your audience long after the numbers have been crunched.&lt;/p&gt;</description></item><item><title>Data Visualization Book Reviews</title><link>https://www.visualcinnamon.com/resources/learning-data-visualization/books/</link><pubDate>Wed, 14 Aug 2024 00:00:00 +0000</pubDate><guid>https://www.visualcinnamon.com/resources/learning-data-visualization/books/</guid><description>&lt;p&gt;I&amp;rsquo;m getting most of the basic principles and best practices of information visualization and design from books. I read fictions on my iPad, but when I want to study I still need an actual book in my hands in which to annotate and quickly flip through. Below you can find my &lt;strong&gt;reviews and thoughts on the content and usefulness of books&lt;/strong&gt; that I&amp;rsquo;ve read (so this list will continue to grow as I read more books). These are literally all the books that I own relating to data visualization. I hope these reviews will assist you to figure out which books you want to read (to learn more) about data visualization. They&amp;rsquo;re all quite high in stars because I&amp;rsquo;ve basically only included/kept good (enough) books.&lt;/p&gt;</description></item></channel></rss>