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<a href="articles/i2dash-intro.html">Creating iterative and interactive dashboards with i2dash</a>
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<div id="interactive-iterative-dashboards-in-r" class="section level1">
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<a href="#interactive-iterative-dashboards-in-r" class="anchor"></a>Interactive & iterative dashboards in R</h1></div>
<div id="abstract" class="section level2">
<h2 class="hasAnchor">
<a href="#abstract" class="anchor"></a>Abstract <img src="articles/images/i2dash_logo.png" align="right" width="150px">
</h2>
<p>Scientific communication and data visualization are important aspects to illustrate complex concepts and results from data analyses. The R package <strong>i2dash</strong> provides functionality to create customized, web-based dashboards for data presentation, exploration and sharing. <strong>i2dash</strong> integrates easily into existing data analysis pipelines and can organize scientific findings thematically across different pages and layouts.</p>
<div id="main-features" class="section level3">
<h3 class="hasAnchor">
<a href="#main-features" class="anchor"></a>Main features</h3>
<ul>
<li>Easy integration into existing analysis pipelines in R for programmatic dashboard creation</li>
<li>Provides a selection of predefined layouts to arrange content</li>
<li>Support for multiple components, such as htmlwidgets, tables, text, images etc.</li>
<li>Creation of web-based, sharable, static or interactive dashboards</li>
<li>Enables a flexible and iterative cycle of dashboard development</li>
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<a href="#installation" class="anchor"></a>Installation</h2>
<p>The package can be installed with:</p>
<pre><code><a href="https://rdrr.io/r/utils/install.packages.html">install.packages("i2dash")</a></code></pre>
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<a href="#extension" class="anchor"></a>Extension</h2>
<p>It is possible to extend the core functionality of <strong>i2dash</strong> with templates for components and pre-defined pages. This enables to provide an enhanced user interactivity e.g. dynamic change of plot settings. Further, extensions allow an easier integration of complex calculations and data manipulation, hidden behind functions.</p>
<ul>
<li>
<a href="https://gitlab.gwdg.de/loosolab/software/i2dash.scrnaseq"><strong>i2dash.scrnaseq</strong></a> enables an enhanced user interactivity and contains simple but effective tools for the creation of an i2dashboard with focus on single-cell RNA-sequencing data visualization and exploration.</li>
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<li>Visit our webpage at <br><a href="https://loosolab.mpi-bn.mpg.de">https://loosolab.mpi-bn.mpg.de</a>
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<h2>Developers</h2>
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<li>Arsenij Ustjanzew <br><small class="roles"> Author, maintainer </small> </li>
<li>Jens Preussner <br><small class="roles"> Author </small> <a href="https://orcid.org/0000-0003-1927-3458" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
<li>Mario Looso <br><small class="roles"> Author </small> <a href="https://orcid.org/0000-0003-1495-9530" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
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<p>Developed by Arsenij Ustjanzew, Jens Preussner, Mario Looso.</p>
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