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height: 200px; position: fixed; bottom: 10px; left: 50px" alt="Sign up to Dash Club to get two free cheat sheets as well as tips and tricks, community apps, and deep dives delivered every two months"> </a> </aside>  <section class="--page-body --tutorial-index --base"> <header class="--welcome"> <div class="--welcome-body">  <div class="--title"> <div class="--body"> <div class="nav-breadcrumb-container"> <div> <div class="breadcrumb-nav"> <a href="/r"> R </a> > <a href="/r/statistical-charts">Statistical Charts</a> > <span>2D Histograms</span> </div> </div> <div class="nav-breadcrumb-right"> <div class="--fork"> <a id="forklink" href= "https://github.com/plotly/plotly.r-docs/edit/master/r/2015-07-30-2D-Histogram.Rmd" > <div class="icon"> <svg style="width:20px;height:20px" viewbox="0 0 24 24"> <path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"> </path> </svg> </div> <span>Suggest an edit to this page</span> </a> </div> </div> </div> <h1> 2D Histograms in R </h1> <p>How to make a 2D histogram in R. A 2D histogram is a visualization of a bivariate distribution. </p> <br>  <details> <summary><span style="cursor: pointer; color: #506784 !important">New to Plotly?</span></summary> <p>Plotly is a <a href="/r/is-plotly-free/">free and open-source</a> graphing library for R. We recommend you read our <a href="/r/getting-started/">Getting Started guide</a> for the latest installation or upgrade instructions, then move on to our <a href="/r/plotly-fundamentals/">Plotly Fundamentals tutorials</a> or dive straight in to some <a href="/r/basic-charts/">Basic Charts tutorials</a>.</p> </details> </div> </div> </div> </header>  <section class="tutorial-content"> <h4>Basic 2D Histogram</h4> <p>2D histograms require <code>x</code>/<code>y</code>, but in contrast to heatmaps, <code>z</code> is optional. If <code>z</code> is not provided, binning occurs in the browser (see <a href="https://plotly.com/r/reference/#histogram2d-histnorm">here</a> for a list of binning options).</p> <div class="highlight"><pre><code class="language-r" data-lang="r"><span class="c1"># install.packages('mvtnorm')</span><span class="w"> </span><span class="n">library</span><span class="p">(</span><span class="n">plotly</span><span class="p">)</span><span class="w"> </span><span class="n">s</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">matrix</span><span class="p">(</span><span class="nf">c</span><span class="p">(</span><span class="m">1</span><span class="p">,</span><span class="w"> </span><span class="m">-.75</span><span class="p">,</span><span class="w"> </span><span class="m">-.75</span><span class="p">,</span><span class="w"> </span><span class="m">1</span><span class="p">),</span><span class="w"> </span><span class="n">ncol</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">2</span><span class="p">)</span><span class="w"> </span><span class="n">obs</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">mvtnorm</span><span class="o">::</span><span class="n">rmvnorm</span><span class="p">(</span><span class="m">500</span><span class="p">,</span><span class="w"> </span><span class="n">sigma</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">s</span><span class="p">)</span><span class="w"> </span><span class="n">fig</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">plot_ly</span><span class="p">(</span><span class="n">x</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">obs</span><span class="p">[,</span><span class="m">1</span><span class="p">],</span><span class="w"> </span><span class="n">y</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">obs</span><span class="p">[,</span><span class="m">2</span><span class="p">])</span><span class="w"> </span><span class="n">fig2</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">subplot</span><span class="p">(</span><span class="w"> </span><span class="n">fig</span><span class="w"> </span><span class="o">%>%</span><span class="w"> </span><span class="n">add_markers</span><span class="p">(</span><span class="n">alpha</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">0.2</span><span class="p">),</span><span class="w"> </span><span class="n">fig</span><span class="w"> </span><span class="o">%>%</span><span class="w"> </span><span class="n">add_histogram2d</span><span class="p">()</span><span class="w"> </span><span class="p">)</span><span class="w"> </span><span class="n">fig2</span><span class="w"> </span></code></pre></div> <div 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<h4>Colorscale</h4> <p>If <code>z</code> is not provided, the only way to control coloring is through the <a href="https://plotly.com/r/reference/#histogram2d-colorscale">colorscale attribute</a></p> <div class="highlight"><pre><code class="language-r" data-lang="r"><span class="n">fig</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">fig</span><span class="w"> </span><span class="o">%>%</span><span class="w"> </span><span class="n">add_histogram2d</span><span class="p">(</span><span class="n">colorscale</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"Blues"</span><span class="p">)</span><span class="w"> </span><span class="n">fig</span><span class="w"> </span></code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-2a2f2b122327b2b4466e" style="width:672px;height:480px;"></div> <script type="application/json" 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<h3>What About Dash?</h3> <p><a href="https://dashr.plot.ly/">Dash for R</a> is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library. </p> <p>Learn about how to install Dash for R at https://dashr.plot.ly/installation.</p> <p>Everywhere in this page that you see <code>fig</code>, you can display the same figure in a Dash for R application by passing it to the <code>figure</code> argument of the <a href="https://dashr.plot.ly/dash-core-components/graph"><code>Graph</code> component</a> from the built-in <code>dashCoreComponents</code> package like this:</p> <div class="highlight"><pre><code class="language-r" data-lang="r"><span class="n">library</span><span class="p">(</span><span class="n">plotly</span><span class="p">)</span><span class="w"> </span><span class="n">fig</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">plot_ly</span><span class="p">()</span><span class="w"> </span><span class="c1"># fig <- fig %>% add_trace( ... )</span><span class="w"> </span><span class="c1"># fig <- fig %>% layout( ... ) </span><span class="w"> </span><span class="n">library</span><span class="p">(</span><span class="n">dash</span><span class="p">)</span><span class="w"> </span><span class="n">library</span><span class="p">(</span><span class="n">dashCoreComponents</span><span class="p">)</span><span class="w"> </span><span class="n">library</span><span class="p">(</span><span class="n">dashHtmlComponents</span><span class="p">)</span><span class="w"> </span><span class="n">app</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">Dash</span><span class="o">$</span><span class="n">new</span><span class="p">()</span><span class="w"> </span><span class="n">app</span><span class="o">$</span><span class="n">layout</span><span class="p">(</span><span class="w"> </span><span class="n">htmlDiv</span><span class="p">(</span><span class="w"> </span><span class="nf">list</span><span class="p">(</span><span class="w"> </span><span class="n">dccGraph</span><span class="p">(</span><span class="n">figure</span><span class="o">=</span><span class="n">fig</span><span class="p">)</span><span class="w"> </span><span class="p">)</span><span class="w"> </span><span class="p">)</span><span class="w"> </span><span class="p">)</span><span class="w"> </span><span class="n">app</span><span class="o">$</span><span class="n">run_server</span><span class="p">(</span><span class="n">debug</span><span class="o">=</span><span class="kc">TRUE</span><span class="p">,</span><span class="w"> </span><span class="n">dev_tools_hot_reload</span><span class="o">=</span><span class="kc">FALSE</span><span class="p">)</span><span class="w"> </span></code></pre></div> </section>  </section> </div> </main> <script> var array = []; $('.tutorial-content :header:not(h6)').each(function (i, e) { 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