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langbart committed Oct 1, 2024
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195 changes: 31 additions & 164 deletions docs/index.html
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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>

<meta charset="utf-8">
<meta name="generator" content="quarto-1.5.55">
<meta name="generator" content="quarto-1.5.56">

<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">


<title>DaSL Data Snacks</title>
<title>DaSL Data Snacks – SSF data training</title>
<style>
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
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<div class="navbar-container container-fluid">
<div class="navbar-brand-container mx-auto">
<a class="navbar-brand" href="./index.html">
<span class="navbar-title">DaSL Data Snacks</span>
<span class="navbar-title">SSF data training</span>
</a>
</div>
<div id="quarto-search" class="" title="Search"></div>
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</button>
<div class="collapse navbar-collapse" id="navbarCollapse">
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<li class="nav-item">
<a class="nav-link" href="./contributing.html">
<span class="menu-text">Contributing</span></a>
</li>
<li class="nav-item compact">
<a class="nav-link" href="https://github.com/fhdsl/data_snacks/"> <i class="bi bi-github" role="img">
<a class="nav-link" href="https://github.com/WorldFishCenter/ssf.training/"> <i class="bi bi-github" role="img">
</i>
<span class="menu-text"></span></a>
</li>
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<h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-listing-category category-default"><div class="category" data-category="">All <span class="quarto-category-count">(7)</span></div><div class="category" data-category="Python">Python <span class="quarto-category-count">(1)</span></div><div class="category" data-category="R">R <span class="quarto-category-count">(4)</span></div><div class="category" data-category="Tables">Tables <span class="quarto-category-count">(2)</span></div><div class="category" data-category="Visualization">Visualization <span class="quarto-category-count">(1)</span></div><div class="category" data-category="bigdata">bigdata <span class="quarto-category-count">(1)</span></div><div class="category" data-category="databases">databases <span class="quarto-category-count">(1)</span></div><div class="category" data-category="graphics">graphics <span class="quarto-category-count">(2)</span></div></div></div>
<h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-listing-category category-default"><div class="category" data-category="">All <span class="quarto-category-count">(3)</span></div><div class="category" data-category="R">R <span class="quarto-category-count">(2)</span></div><div class="category" data-category="Trends">Trends <span class="quarto-category-count">(1)</span></div><div class="category" data-category="Visualization">Visualization <span class="quarto-category-count">(2)</span></div><div class="category" data-category="ggplot2">ggplot2 <span class="quarto-category-count">(1)</span></div></div></div>
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<a href="./r_snacks/parquet.html" class="no-external">Large Data Work: Intro to parquet files in R</a>
<a href="./r_snacks/ggplot.html" class="no-external">Working with ggplot2: A Short Guide</a>
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<a href="./r_snacks/parquet.html" class="no-external"></a>
<a href="./r_snacks/ggplot.html" class="no-external"></a>
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R
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Tables
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databases
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Visualization
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bigdata
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ggplot2
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<a href="./r_snacks/parquet.html" class="no-external">As you continue on with your work as a Data Scientist, you will start encountering parquet files as a way of storing large data. Let’s add to our toolkit.</a>
<a href="./r_snacks/ggplot.html" class="no-external">In this short guide, we’ll explore how to use <code>ggplot2</code> to create visualizations using the <code>cars</code> dataset. This dataset contains the speed of cars and the distances taken to stop.</a>
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<a href="./r_snacks/parquet.html" class="no-external">
<a href="./r_snacks/ggplot.html" class="no-external">
<div class="listing-date">
Sep 30, 2024
</div>
<div class="listing-author">
Ted Laderas
Lore
</div>
</a>
</div>
</div>
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<h3 class="no-anchor listing-title">
<a href="./r_snacks/naniar.html" class="no-external">What’s Missing with <code>{naniar}</code></a>
<a href="./r_snacks/trends.html" class="no-external">Visualizing Trends with ggplot2</a>
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<div class="listing-subtitle">
<a href="./r_snacks/naniar.html" class="no-external"></a>
<a href="./r_snacks/trends.html" class="no-external"></a>
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R
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<div class="listing-category" onclick="window.quartoListingCategory('graphics'); return false;">
graphics
</div>
</div>
<div class="listing-description">
<a href="./r_snacks/naniar.html" class="no-external">Learn about patterns of missing values in your data with the <code>{naniar}</code> package.</a>
</div>
</div>
<div class="metadata">
<a href="./r_snacks/naniar.html" class="no-external">
<div class="listing-date">
Sep 22, 2024
</div>
<div class="listing-author">
Ted Laderas
</div>
</a>
</div>
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</a><p><a href="./python_snacks/wordcloud.html" class="no-external"></a></p>
</div>
<div class="body">
<h3 class="no-anchor listing-title">
<a href="./python_snacks/wordcloud.html" class="no-external">Visualize text frequency with {wordcloud}</a>
</h3>
<div class="listing-subtitle">
<a href="./python_snacks/wordcloud.html" class="no-external"></a>
</div>
<div class="listing-categories">
<div class="listing-category" onclick="window.quartoListingCategory('Python'); return false;">
Python
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Visualization
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<div class="listing-description">
<a href="./python_snacks/wordcloud.html" class="no-external">A wordcloud is a simple data visualization tool for looking at frequency of text data, and quickly answers what are some of the most common words that show up in a body of…<code></code></a>
</div>
</div>
<div class="metadata">
<a href="./python_snacks/wordcloud.html" class="no-external">
<div class="listing-date">
Sep 19, 2024
</div>
<div class="listing-author">
Chris Lo
</div>
</a>
</div>
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</div>
<div class="body">
<h3 class="no-anchor listing-title">
<a href="./r_snacks/patchwork.html" class="no-external">Compose Plots with {patchwork}</a>
</h3>
<div class="listing-subtitle">
<a href="./r_snacks/patchwork.html" class="no-external"></a>
</div>
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R
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graphics
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</div>
<div class="listing-description">
<a href="./r_snacks/patchwork.html" class="no-external">Learn more about composing plots together with a package with straightforward syntax.</a>
</div>
</div>
<div class="metadata">
<a href="./r_snacks/patchwork.html" class="no-external">
<div class="listing-date">
Sep 13, 2024
</div>
<div class="listing-author">
Ted Laderas
</div>
</a>
</div>
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</div>
<div class="body">
<h3 class="no-anchor listing-title">
<a href="./r_snacks/gtsummary.html" class="no-external">Make your Table 1 with {gtsummary}</a>
</h3>
<div class="listing-subtitle">
<a href="./r_snacks/gtsummary.html" class="no-external"></a>
</div>
<div class="listing-categories">
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R
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Tables
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Trends
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<div class="listing-description">
<a href="./r_snacks/gtsummary.html" class="no-external">When making tables for publication, one of the most common ones we need are Table 1’s: the summarization of our study populations in terms of demographics.</a>
<a href="./r_snacks/trends.html" class="no-external">In this guide, we will learn how to visualize trends in data using <code>ggplot2</code>. We’ll use the <code>cars</code> dataset, which contains information on car speed and stopping distances.</a>
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</div>
<div class="metadata">
<a href="./r_snacks/gtsummary.html" class="no-external">
<a href="./r_snacks/trends.html" class="no-external">
<div class="listing-date">
Sep 4, 2024
Sep 30, 2024
</div>
<div class="listing-author">
Ted Laderas
Lore
</div>
</a>
</div>
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7 changes: 2 additions & 5 deletions docs/listings.json
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