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<h1>Area chart</h1>
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<p style="max-width: 700px; margin: auto">An <a href="https://www.data-to-viz.com/graph/area.html">area chart</a> represents the evolution of a numeric variable. It is very close to a <a href="line-plot.html">line chart</a>. This section displays many examples built with R and <a href="ggplot2-package.html">ggplot2</a>. Have a look at <a href="https://www.data-to-viz.com/graph/area.html">data-to-viz.com</a> if you want to learn more about area chart theory.</p>
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<div class="mySeryTitle">Note on area chart</div>
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<p>This section is tightly linked with other sections. A <a href="line-plot.html">line chart</a> is the same but doesn't fill the surface between the line and the X axis. A <a href="connected-scatterplot.html">connected scatterplot</a> is almost the same thing, but each observation is represented as a dot. More generally, the <a href="time-series.html">time series</a> section can interest you.</p>
<a class="btn btn-secondary" href="connected-scatterplot.html">connected scatter</a>
<a class="btn btn-secondary" href="line-plot.html">line chart</a>
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<div class="mySeryTitle">Step by step with <code>ggplot2</code></div>
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<p><code>ggplot2</code> allows to draw line charts thanks to the <code>geom_line()</code> function. It expects as input a data frame with 2 numeric variables, one displayed on each axis. Start your journey with the <a href="line-chart-ggplot2.html">most basic line chart</a>.</p>
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<p>Most basic</p>
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<p class="explanation_portfolio">Most basic area chart with R and ggplot2</p>
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<p>Improve appearance</p>
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<p class="explanation_portfolio">Use a theme, highlight top line, add points if needed, and more options.</p>
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<p>Log transform</p>
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<p class="explanation_portfolio">How to use a log transformation for the Y axis with scale_x_log10().</p>
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<p>Most basic</p>
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<p class="explanation_portfolio">Most basic stacked area chart you can build with R and ggplot2, using the geom_area function.</p>
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<p>Small multiple</p>
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<p class="explanation_portfolio">Small multiple is probably the best alternative, making obvious the evolution of each gropup.</p>
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<p>Area chart with gradient color</p>
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<p class="explanation_portfolio">With ggpattern, it's now possible to have not just one color, but a gradient of colors.</p>
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<p>Transparent gradient color</p>
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<p class="explanation_portfolio">Here's how to combine a color gradient and transparency against the background in an area chart.</p>
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<p>Customized area chart with color gradient</p>
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<div class="mySeryTitle">Interactive version: <code>dygraph</code></div>
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<p>The <code>dygraph</code> package is dedicated to time series visualization. It offers zooming, hovering, minimaps and much more. Visit the <a href="time-series.html">time series</a> section that is dedicated to it for more.</p>
<a class="btn btn-secondary btn-md text-uppercase" href="318-custom-dygraphs-time-series-example.html">Get code</a>
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<p>In base R, the combination of the <code>plot()</code> and the <code>polygon()</code> functions allows to build quality area charts.</p>
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<p>Most basic</p>
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<p>The web is full of astonishing R charts made by awesome bloggers. The <a href="https://www.r-graph-gallery.com">R graph gallery</a> tries to
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<p>Line chart with labels</p>
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<p class="explanation_portfolio">It is a common need to display labels at the end of the lines, since that's the place where labels are the more readable. <b>Cédric Scherer</b> gives us a nice walk-through here on how to do it with ggplot2.</p>
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<p>Line chart with filled intersection</p>
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<p class="explanation_portfolio">This example uses geo-faceting: the dataset is split and plotted using geographical regions. For each charts, 2 lines are displayed and the intersection between both is filled.</p>
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<p>Stacked area chart with clean labels</p>
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<p class="explanation_portfolio">A stacked area chart with a stunning color palette, some well positioned inline labels, some handy vertical annotations and some clean caption text.</p>
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