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        <title>Pages on Explorable Explanations</title>
        <link>https://explorable-explanations.com/en/page/</link>
        <description>Recent content in Pages on Explorable Explanations</description>
        <generator>Hugo -- gohugo.io</generator>
        <language>en</language>
        <copyright>maintained by Yuichi Yazaki</copyright>
        <lastBuildDate>Sun, 09 Aug 2026 14:39:37 +0900</lastBuildDate><atom:link href="https://explorable-explanations.com/en/page/index.xml" rel="self" type="application/rss+xml" /><item>
        <title>Attribution &amp; Licenses</title>
        <link>https://explorable-explanations.com/en/licenses/</link>
        <pubDate>Mon, 20 Jul 2026 00:00:00 +0000</pubDate>
        
        <guid>https://explorable-explanations.com/en/licenses/</guid>
        <description>&lt;p&gt;Much of the content introduced and localized on Explorable Explanations was created by researchers and developers outside Japan. This page lists, for each article, the original creator or source and the license information we were able to confirm.&lt;/p&gt;
&lt;h2 id=&#34;about-this-sites-articles&#34;&gt;About this site&amp;rsquo;s articles
&lt;/h2&gt;&lt;p&gt;The commentary written by Yuichi Yazaki (learning objectives, walkthroughs, background sections, and so on) is published under &lt;a class=&#34;link&#34; href=&#34;https://creativecommons.org/licenses/by-nc-sa/4.0/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;CC BY-NC-SA 4.0&lt;/a&gt;, the same as the rest of this site. This applies only to the writing on this site — the third-party tools introduced or embedded below remain under whatever license their original creators have set.&lt;/p&gt;
&lt;h2 id=&#34;original-creators-and-licenses-by-article&#34;&gt;Original creators and licenses by article
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;Original creator / source&lt;/th&gt;
          &lt;th&gt;License&lt;/th&gt;
          &lt;th&gt;Original site / repository&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Transformer Explainer&lt;/td&gt;
          &lt;td&gt;Georgia Tech Polo Club (Aeree Cho et al.)&lt;/td&gt;
          &lt;td&gt;MIT License&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/poloclub/transformer-explainer&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/poloclub/transformer-explainer&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CNN Explainer&lt;/td&gt;
          &lt;td&gt;Georgia Tech Polo Club (Zijie J. Wang et al.)&lt;/td&gt;
          &lt;td&gt;MIT License&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/poloclub/cnn-explainer&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/poloclub/cnn-explainer&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GAN Lab&lt;/td&gt;
          &lt;td&gt;Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, Martin Wattenberg (Georgia Tech / Google Brain)&lt;/td&gt;
          &lt;td&gt;Apache License 2.0&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/poloclub/ganlab&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/poloclub/ganlab&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Diffusion Explainer&lt;/td&gt;
          &lt;td&gt;Georgia Tech Polo Club&lt;/td&gt;
          &lt;td&gt;MIT License&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/poloclub/diffusion-explainer&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/poloclub/diffusion-explainer&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Embedding Projector&lt;/td&gt;
          &lt;td&gt;Google (part of the TensorFlow project)&lt;/td&gt;
          &lt;td&gt;Apache License 2.0&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/tensorflow/tensorboard&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/tensorflow/tensorboard&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;TensorFlow Playground&lt;/td&gt;
          &lt;td&gt;Daniel Smilkov, Shan Carter&lt;/td&gt;
          &lt;td&gt;Apache License&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/tensorflow/playground&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/tensorflow/playground&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;AI Explorables&lt;/td&gt;
          &lt;td&gt;Google PAIR&lt;/td&gt;
          &lt;td&gt;Apache License 2.0&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/PAIR-code/ai-explorables&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/PAIR-code/ai-explorables&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;MLU-Explain&lt;/td&gt;
          &lt;td&gt;Amazon (AWS Machine Learning University)&lt;/td&gt;
          &lt;td&gt;Custom license (see repository)&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/aws-samples/aws-mlu-explain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/aws-samples/aws-mlu-explain&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Vega-Altair&lt;/td&gt;
          &lt;td&gt;Jake VanderPlas, Brian Granger, et al. (University of Washington Interactive Data Lab)&lt;/td&gt;
          &lt;td&gt;BSD 3-Clause License&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/vega/altair&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/vega/altair&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Easing Functions Cheat Sheet&lt;/td&gt;
          &lt;td&gt;Andrey Sitnik, Ivan Solovev&lt;/td&gt;
          &lt;td&gt;GPL-3.0 License&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/ai/easings.net&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/ai/easings.net&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Parable of the Polygons&lt;/td&gt;
          &lt;td&gt;Vi Hart + Nicky Case&lt;/td&gt;
          &lt;td&gt;See original site for exact terms (much of Nicky Case&amp;rsquo;s work is released as CC0)&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;http://ncase.me/polygons/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ncase.me/polygons&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;How to Use t-SNE Effectively&lt;/td&gt;
          &lt;td&gt;Martin Wattenberg, Fernanda Viégas, Ian Johnson (Distill.pub)&lt;/td&gt;
          &lt;td&gt;CC BY 2.0&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://distill.pub/2016/misread-tsne/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;distill.pub/2016/misread-tsne&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Learning Network Visualization&lt;/td&gt;
          &lt;td&gt;Elijah Meeks&lt;/td&gt;
          &lt;td&gt;Follows the terms on the author&amp;rsquo;s personal site (no explicit license stated)&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;http://elijahmeeks.com/networkviz/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;elijahmeeks.com/networkviz&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;MNIST MLP Inference Visualization&lt;/td&gt;
          &lt;td&gt;DFin&lt;/td&gt;
          &lt;td&gt;Apache License 2.0&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/DFin/Neural-Network-Visualisation&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;github.com/DFin/Neural-Network-Visualisation&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Classification Methods Visualization&lt;/td&gt;
          &lt;td&gt;Yuichi Yazaki (original work created for this site)&lt;/td&gt;
          &lt;td&gt;CC BY-NC-SA 4.0&lt;/td&gt;
          &lt;td&gt;-&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Map Projections with Face Photos&lt;/td&gt;
          &lt;td&gt;Yuichi Yazaki (original work created for this site; sample GeoJSON data provided by Alex Woodruff)&lt;/td&gt;
          &lt;td&gt;CC BY-NC-SA 4.0&lt;/td&gt;
          &lt;td&gt;-&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Map Tile Browser&lt;/td&gt;
          &lt;td&gt;Yuichi Yazaki (original work created for this site)&lt;/td&gt;
          &lt;td&gt;CC BY-NC-SA 4.0&lt;/td&gt;
          &lt;td&gt;-&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;a-note-on-accuracy&#34;&gt;A note on accuracy
&lt;/h2&gt;&lt;p&gt;The information above reflects what we could confirm from each site or repository. If you notice an error or a change, please get in touch using the contact details on the &lt;a class=&#34;link&#34; href=&#34;https://explorable-explanations.com/en/about/&#34; &gt;About page&lt;/a&gt; and we&amp;rsquo;ll correct it promptly.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>About</title>
        <link>https://explorable-explanations.com/en/about/</link>
        <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
        
        <guid>https://explorable-explanations.com/en/about/</guid>
        <description>&lt;p&gt;Explorable Explanations is run by Yuichi Yazaki, a data visualization specialist.&lt;/p&gt;
&lt;h2 id=&#34;profile&#34;&gt;Profile
&lt;/h2&gt;&lt;p&gt;Yuichi holds a master&amp;rsquo;s degree in Design Science from Chiba Institute of Technology&amp;rsquo;s graduate school. He spent seven years as a UI designer and art director at Business Architects Inc. before going independent. Since then, he has been active in data visualization practice and outreach through corporate and academic training and lectures (including Sony, Nikon, and NTT Communications), teaching at universities and graduate schools (including Tama Art University, Musashino Art University, and Digital Hollywood University Graduate School), and running the &amp;ldquo;Data Visualization Japan&amp;rdquo; community.&lt;/p&gt;
&lt;p&gt;Founder of Data Visualization Japan. Yahoo! News Expert.&lt;/p&gt;
&lt;h2 id=&#34;books&#34;&gt;Books
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;em&gt;データ可視化の基本が全部わかる本&lt;/em&gt; (Shoeisha, 2024)&lt;/li&gt;
&lt;li&gt;&lt;em&gt;RESASの教科書&lt;/em&gt; (Nikkei BP, 2016, co-authored)&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;related-sites&#34;&gt;Related sites
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://visualizing.jp/about/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Visualizing.JP&lt;/a&gt; — a site sharing data visualization knowledge and practice&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://notation.co.jp/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Notation LLC&lt;/a&gt; — a data visualization company offering training, books, and tools&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://data-viz-lectures.com/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Data Visualization Lectures&lt;/a&gt; — training courses for individuals and organizations&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;about-this-site&#34;&gt;About this site
&lt;/h2&gt;&lt;p&gt;Explorable Explanations introduces outstanding explorable (interactive, hands-on) learning materials from around the world in Japanese, and hosts localized versions of some of them.&lt;/p&gt;
&lt;h2 id=&#34;contact&#34;&gt;Contact
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;X (Twitter): &lt;a class=&#34;link&#34; href=&#34;https://twitter.com/visualizing_jp&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@visualizing_jp&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Email: &lt;a class=&#34;link&#34; href=&#34;mailto:info@notation.co.jp&#34; &gt;info@notation.co.jp&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Archives</title>
        <link>https://explorable-explanations.com/en/archives/</link>
        <pubDate>Tue, 28 May 2019 00:00:00 +0000</pubDate>
        
        <guid>https://explorable-explanations.com/en/archives/</guid>
        <description></description>
        </item>
        <item>
        <title>Search</title>
        <link>https://explorable-explanations.com/en/search/</link>
        <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
        
        <guid>https://explorable-explanations.com/en/search/</guid>
        <description></description>
        </item>
        
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