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<title>Data, Code and Visualization</title>
<link>https://jkunst.com/blog/</link>
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<description>Notes and experiments about data, statistics, R, code, and visualization.</description>
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<item>
  <title>Many models, many years later</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2026-07-20-many-models-many-years-later/</link>
  <description><![CDATA[ The talk that changed how I write R. ]]></description>
  <category>minipost</category>
  <category>R</category>
  <category>purrr</category>
  <category>highcharter</category>
  <guid>https://jkunst.com/blog/posts/2026-07-20-many-models-many-years-later/</guid>
  <pubDate>Mon, 20 Jul 2026 04:00:00 GMT</pubDate>
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</item>
<item>
  <title>My favorite ggplot2 packages with examples</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2023-07-10-my-favorite-ggplot2-packages-with-examples/</link>
  <description><![CDATA[ The idea is to show some packages and options that I use on a daily basis, and leave code with annotations and defaults that I normally use. We will go through the packages one by one with examples, but these can be grouped into the following categories. ]]></description>
  <category>minipost</category>
  <category>ggplot2</category>
  <category>dont-forget</category>
  <guid>https://jkunst.com/blog/posts/2023-07-10-my-favorite-ggplot2-packages-with-examples/</guid>
  <pubDate>Sun, 23 Jul 2023 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2023-07-10-my-favorite-ggplot2-packages-with-examples/images/preview.png" medium="image" type="image/png" height="166" width="144"/>
</item>
<item>
  <title>Visualización en el Análisis de Datos</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2023-07-09-visualizacion-en-el-analisis-de-datos/</link>
  <description><![CDATA[ De vez en cuando tengo que hacer clases de visualización o análisis de datos, enseñar <code>ggplot2</code> o <code>dplyr</code>, y en dichas ocaciones especiales siempre retomo un <em>ya muy viejo</em> ejemplo con datos del metro de Santiago de Chile en el cual intento motivar el hecho de que a través de distintas visualización uno va aprediendo de los datos. ]]></description>
  <category>ggplot2</category>
  <category>data-visualization</category>
  <category>spanish</category>
  <guid>https://jkunst.com/blog/posts/2023-07-09-visualizacion-en-el-analisis-de-datos/</guid>
  <pubDate>Sun, 09 Jul 2023 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2023-07-09-visualizacion-en-el-analisis-de-datos/images/preview.png" medium="image" type="image/png" height="103" width="144"/>
</item>
<item>
  <title>Simulating and watching autoregressive processes</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2021-07-17-simulating-and-watching-autoregressive-processes/</link>
  <description><![CDATA[ Always love time series when I studied statistics. This is a post to honor the time series (no {shiny} required). ]]></description>
  <category>minipost</category>
  <category>stats</category>
  <category>highcharts</category>
  <category>highcharter</category>
  <category>time-series</category>
  <category>data-visualization</category>
  <guid>https://jkunst.com/blog/posts/2021-07-17-simulating-and-watching-autoregressive-processes/</guid>
  <pubDate>Fri, 18 Jun 2021 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2021-07-17-simulating-and-watching-autoregressive-processes/images/preview.gif" medium="image" type="image/gif"/>
</item>
<item>
  <title>Regression, ANOVA, t-test are related…</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2021-06-08-regression-anova-t-test/</link>
  <description><![CDATA[ <em>Source</em>: https://stats.stackexchange.com/questions/59047/how-are-regression-the-t-test-and-the-anova-all-versions-of-the-general-linear ]]></description>
  <category>minipost</category>
  <category>stats</category>
  <category>dont-forget</category>
  <guid>https://jkunst.com/blog/posts/2021-06-08-regression-anova-t-test/</guid>
  <pubDate>Tue, 08 Jun 2021 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2021-06-08-regression-anova-t-test/images/preview.png" medium="image" type="image/png" height="97" width="144"/>
</item>
<item>
  <title>valueBoxes and Sparklines</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2020-06-26-valuebox-and-sparklines/</link>
  <description><![CDATA[ The value boxes are a good way to get to the point quickly in a dashboard showing the relevant value with a big font and eye-catching color. But sometimes it would be better show that relevant number with a related text, sparkline or information to give context of that value, or just to compare it with the previoues ones. In this post we’ll show how to add sparklines to valueBox in shinydashboard and other related packages. ]]></description>
  <category>shiny</category>
  <category>highcharts</category>
  <category>highcharter</category>
  <category>htmlwidgets</category>
  <guid>https://jkunst.com/blog/posts/2020-06-26-valuebox-and-sparklines/</guid>
  <pubDate>Mon, 29 Jun 2020 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2020-06-26-valuebox-and-sparklines/images/preview.png" medium="image" type="image/png" height="72" width="144"/>
</item>
<item>
  <title>The tale of two charts combined</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2020-06-15-when-2-charts-are-more-than-1/</link>
  <description><![CDATA[ <em>Post updated on Jul 20, 2026</em> ]]></description>
  <category>data-visualization</category>
  <category>highcharts</category>
  <guid>https://jkunst.com/blog/posts/2020-06-15-when-2-charts-are-more-than-1/</guid>
  <pubDate>Wed, 24 Jun 2020 04:00:00 GMT</pubDate>
</item>
<item>
  <title>#30diasdegraficos Parte 3</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2020-06-02-30diasdegraficos-parte-3/</link>
  <description><![CDATA[ La tercera parte (y última?) Queda un buen trecho por recorrer y quedan características, opciones y series que nos falta ver, revisar y aprender. ]]></description>
  <category>spanish</category>
  <category>highcharts</category>
  <category>data-visualization</category>
  <category>ggplot2</category>
  <guid>https://jkunst.com/blog/posts/2020-06-02-30diasdegraficos-parte-3/</guid>
  <pubDate>Tue, 02 Jun 2020 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2020-06-02-30diasdegraficos-parte-3/images/preview.png" medium="image" type="image/png" height="87" width="144"/>
</item>
<item>
  <title>#30diasdegraficos Parte 2</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2020-05-22-30diasdegraficos-parte-2/</link>
  <description><![CDATA[ Seguiremos utilizando los mismos paquetes que la parte anterior. ]]></description>
  <category>spanish</category>
  <category>highcharts</category>
  <category>data-visualization</category>
  <category>ggplot2</category>
  <guid>https://jkunst.com/blog/posts/2020-05-22-30diasdegraficos-parte-2/</guid>
  <pubDate>Fri, 22 May 2020 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2020-05-22-30diasdegraficos-parte-2/images/preview.png" medium="image" type="image/png" height="91" width="144"/>
</item>
<item>
  <title>#30diasdegraficos Parte 1</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2020-05-12-30diasdegraficos-parte-1/</link>
  <description><![CDATA[ Agradecer por la iniciativa a la comunidad de <a href="https://twitter.com/R4DS_es">R4DS_es</a> &lt;3: ]]></description>
  <category>spanish</category>
  <category>highcharts</category>
  <category>data-visualization</category>
  <category>ggplot2</category>
  <guid>https://jkunst.com/blog/posts/2020-05-12-30diasdegraficos-parte-1/</guid>
  <pubDate>Tue, 12 May 2020 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2020-05-12-30diasdegraficos-parte-1/images/preview.jpg" medium="image" type="image/jpeg"/>
</item>
<item>
  <title>#GOT Animating the Shifting of Affiliations</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2019-04-23-got-animating-the-shifting-of-affiliations/</link>
  <description><![CDATA[ Why use GOT data? Because I was participating in #datosdemiercoles which is the spanish version of #tidytuesday. So the data is given and the purpouse is to learn new packages using that data and share with the community, you know this already, right? ]]></description>
  <category>data-visualization</category>
  <category>ggplot2</category>
  <category>animation</category>
  <guid>https://jkunst.com/blog/posts/2019-04-23-got-animating-the-shifting-of-affiliations/</guid>
  <pubDate>Tue, 23 Apr 2019 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2019-04-23-got-animating-the-shifting-of-affiliations/images/preview.gif" medium="image" type="image/gif"/>
</item>
<item>
  <title>When charts are integrated in the web page</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2019-04-08-when-charts-are-integrated-in-the-web-page/</link>
  <description><![CDATA[ I was searching for a CDN at jsdelivr.com and I noticed a chart showing download per days: ]]></description>
  <category>data-visualization</category>
  <category>highcharts</category>
  <guid>https://jkunst.com/blog/posts/2019-04-08-when-charts-are-integrated-in-the-web-page/</guid>
  <pubDate>Mon, 08 Apr 2019 04:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2019-04-08-when-charts-are-integrated-in-the-web-page/images/preview.png" medium="image" type="image/png" height="91" width="144"/>
</item>
<item>
  <title>Using tooltips in unexpected ways</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2019-02-04-using-tooltips-in-unexpected-ways/</link>
  <description><![CDATA[ Highcharts tooltips are one of most underated features. In the tooltips you can easily render html, that means we can put images, tables even charts. So the possibilities are almost limitless. ]]></description>
  <category>data-visualization</category>
  <category>highcharts</category>
  <guid>https://jkunst.com/blog/posts/2019-02-04-using-tooltips-in-unexpected-ways/</guid>
  <pubDate>Mon, 04 Feb 2019 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2019-02-04-using-tooltips-in-unexpected-ways/images/preview.gif" medium="image" type="image/gif"/>
</item>
<item>
  <title>Giving a Thematic Touch to your Interactive Chart</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2017-03-03-giving-a-thematic-touch-to-your-interactive-chart/</link>
  <description><![CDATA[ Sometimes you need to express yourself. ]]></description>
  <category>data-visualization</category>
  <category>highcharts</category>
  <guid>https://jkunst.com/blog/posts/2017-03-03-giving-a-thematic-touch-to-your-interactive-chart/</guid>
  <pubDate>Fri, 03 Mar 2017 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2017-03-03-giving-a-thematic-touch-to-your-interactive-chart/images/preview.png" medium="image" type="image/png" height="76" width="144"/>
</item>
<item>
  <title>Thematic Interactive Map</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2017-01-05-thematic-interactive-map/</link>
  <description><![CDATA[ Last week all the #rstatsosphere see a beautiful swiss map from Timo Grossenbacher using just ggplot2. Now is the turn of highcharter because all can be better with a bit of interactivity. ]]></description>
  <category>maps</category>
  <category>data-visualization</category>
  <category>highcharts</category>
  <category>minipost</category>
  <guid>https://jkunst.com/blog/posts/2017-01-05-thematic-interactive-map/</guid>
  <pubDate>Fri, 20 Jan 2017 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2017-01-05-thematic-interactive-map/images/preview.gif" medium="image" type="image/gif"/>
</item>
<item>
  <title>Interactive and Styled Middle Earth Map</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2016-12-15-interactive-and-styled-middle-earth-map/</link>
  <description><![CDATA[ <em>Post updated on Oct 01, 2024</em> ]]></description>
  <category>maps</category>
  <category>highcharts</category>
  <guid>https://jkunst.com/blog/posts/2016-12-15-interactive-and-styled-middle-earth-map/</guid>
  <pubDate>Thu, 15 Dec 2016 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2016-12-15-interactive-and-styled-middle-earth-map/images/previewp.png" medium="image" type="image/png" height="73" width="144"/>
</item>
<item>
  <title>Replicating NYT Weather App</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2016-12-02-replicating-nyt-weather-app/</link>
  <description><![CDATA[ So much time since my last post so I want to post something, no matter what it is, but I hope this will be somehow helpful. ]]></description>
  <category>data-visualization</category>
  <category>highcharts</category>
  <guid>https://jkunst.com/blog/posts/2016-12-02-replicating-nyt-weather-app/</guid>
  <pubDate>Fri, 02 Dec 2016 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2016-12-02-replicating-nyt-weather-app/images/preview.png" medium="image" type="image/png" height="108" width="144"/>
</item>
<item>
  <title>Adding motion to choropleths</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2016-04-12-adding-motion-to-choropleths/</link>
  <description><![CDATA[ Time ago hrbrmstr show how to replicate a visualization made by <a href="http://www.nytimes.com/interactive/2016/01/07/us/drug-overdose-deaths-in-the-us.html?_r=0">New York Times</a> with R. ]]></description>
  <category>maps</category>
  <category>highcharts</category>
  <category>animation</category>
  <guid>https://jkunst.com/blog/posts/2016-04-12-adding-motion-to-choropleths/</guid>
  <pubDate>Tue, 12 Apr 2016 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2016-04-12-adding-motion-to-choropleths/images/preview.gif" medium="image" type="image/gif"/>
</item>
<item>
  <title>How to: Weather Radials</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2016-03-24-how-to-weather-radials/</link>
  <description><![CDATA[ I was surfing by the deep seas of the web and I found the <em>Brice Pierre de la Briere</em>’s <a href="http://bl.ocks.org/bricedev">blocks</a> and I saw the <em>weather radials</em> which originally are a <a href="http://weather-radials.com/">poster collection</a>. Brice uses D3 and he used D3 very well and I love D3 but I’m in a rookie level to do something like him. <strong>D3 is not for everybody</strong> and surely not for me, I would love to lear more but family, work and R has priority over D3 so how can I do something like that. Well… We have R &amp; highcharter. So let’s try. ]]></description>
  <category>data-visualization</category>
  <category>highcharts</category>
  <category>ggplot2</category>
  <category>minipost</category>
  <guid>https://jkunst.com/blog/posts/2016-03-24-how-to-weather-radials/</guid>
  <pubDate>Thu, 24 Mar 2016 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2016-03-24-how-to-weather-radials/images/preview.png" medium="image" type="image/png" height="106" width="144"/>
</item>
<item>
  <title>Visualizing Chess Data With ggplot</title>
  <dc:creator>Joshua Kunst Fuentes</dc:creator>
  <link>https://jkunst.com/blog/posts/2015-10-30-visualizing-chess-data-with-ggplot/</link>
  <description><![CDATA[ There are nice visualizations from chess data: <a href="http://www.visualnews.com/2015/06/15/visualizing-the-movements-of-chess-pieces-using-millions-of-games/">piece movement</a>, <a href="https://github.com/ojb500/SurvivingPieces">piece survaviliy</a>, <a href="http://en.chessbase.com/post/seth-kadish-visualizing-chess">square usage by player</a>, etc. Sadly not always the authors shows the code/data for replicate the final result. So I wrote some code to show how to do some this great visualizations entirely in R. Just for fun. ]]></description>
  <category>data-visualization</category>
  <category>ggplot2</category>
  <category>chess</category>
  <guid>https://jkunst.com/blog/posts/2015-10-30-visualizing-chess-data-with-ggplot/</guid>
  <pubDate>Fri, 30 Oct 2015 03:00:00 GMT</pubDate>
  <media:content url="https://jkunst.com/blog/posts/2015-10-30-visualizing-chess-data-with-ggplot/images/preview.png" medium="image" type="image/png" height="143" width="144"/>
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