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height: 200px; position: fixed; bottom: 10px; left: 50px" alt="Sign up for the upcoming webinar: Elevate Your Analytics with Plotly Dash Enterprise 5.7"> </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="/ggplot2"> Ggplot2 </a> > <a href="/ggplot2/plotly-fundamentals">Fundamentals</a> > Axes </div> </div> <div class="nav-breadcrumb-right"> <div class="--fork"> <a id="forklink" href="https://github.com/plotly/plotly.r-docs/edit/master/ggplot2/2021-08-04-axes.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> Suggest an edit to this page </a> </div> </div> </div> <h1> Axes in ggplot2 </h1> How to work with Axes in ggplot2 with Plotly.  <details> <summary>New to Plotly?</summary> 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>. </details> </div> </div> </div> </header>  <section class="tutorial-content"> <h2>Default plot</h2> <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) p <- ggplot(mtcars) + geom_point(aes(disp, mpg)) + scale_x_continuous(name = "Displacement") ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-e51bfdc1d249125a663f" style="width:672px;height:480px;"></div> <script type="application/json" 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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Changing axis limits</h2> <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) p <- ggplot(mtcars) + geom_point(aes(disp, mpg)) + scale_x_continuous(limits = c(0, 600)) ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-8efc2bce9776a43c796b" style="width:672px;height:480px;"></div> <script type="application/json" 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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Changing axis ticks</h2> The <code>breaks</code> argument is used to specify where the ticks appear. It takes a numeric vector equal to the length of the number of ticks. <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) p <- ggplot(mtcars) + geom_point(aes(disp, mpg)) + scale_x_continuous(breaks = c(150, 300, 450)) ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-13efe4e17bb84f091d09" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-13efe4e17bb84f091d09">{"x":{"data":[{"x":[160,160,108,258,360,225,360,146.69999999999999,140.80000000000001,167.59999999999999,167.59999999999999,275.80000000000001,275.80000000000001,275.80000000000001,472,460,440,78.700000000000003,75.700000000000003,71.099999999999994,120.09999999999999,318,304,350,400,79,120.3,95.099999999999994,351,145,301,121],"y":[21,21,22.800000000000001,21.399999999999999,18.699999999999999,18.100000000000001,14.300000000000001,24.399999999999999,22.800000000000001,19.199999999999999,17.800000000000001,16.399999999999999,17.300000000000001,15.199999999999999,10.4,10.4,14.699999999999999,32.399999999999999,30.399999999999999,33.899999999999999,21.5,15.5,15.199999999999999,13.300000000000001,19.199999999999999,27.300000000000001,26,30.399999999999999,15.800000000000001,19.699999999999999,15,21.399999999999999],"text":["disp: 160.0 mpg: 21.0","disp: 160.0 mpg: 21.0","disp: 108.0 mpg: 22.8","disp: 258.0 mpg: 21.4","disp: 360.0 mpg: 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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Changing tick labels</h2> You can change the tick labels using the <code>labels</code> argument. In the below example, we use words instead of numbers. When adding labels, we need to ensure that the length of the <code>breaks</code> and <code>labels</code> are same. <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) p <- ggplot(mtcars) + geom_point(aes(disp, mpg)) + scale_x_continuous(breaks = c(150, 300, 450), labels = c('One Hundred Fifty', 'Three Hundred', 'Four Hundred Fifity')) ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-2cae1120a37f03cadebd" style="width:672px;height:480px;"></div> <script type="application/json" 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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Changing position of labels</h2> <div class="highlight"><pre><code class="language-r" data-lang="r">library(ggplot2) p <- ggplot(mtcars) + geom_point(aes(disp, mpg)) + scale_x_continuous(position = 'top') ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-80f27d0153695be720b8" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-80f27d0153695be720b8">{"x":{"data":[{"x":[160,160,108,258,360,225,360,146.69999999999999,140.80000000000001,167.59999999999999,167.59999999999999,275.80000000000001,275.80000000000001,275.80000000000001,472,460,440,78.700000000000003,75.700000000000003,71.099999999999994,120.09999999999999,318,304,350,400,79,120.3,95.099999999999994,351,145,301,121],"y":[21,21,22.800000000000001,21.399999999999999,18.699999999999999,18.100000000000001,14.300000000000001,24.399999999999999,22.800000000000001,19.199999999999999,17.800000000000001,16.399999999999999,17.300000000000001,15.199999999999999,10.4,10.4,14.699999999999999,32.399999999999999,30.399999999999999,33.899999999999999,21.5,15.5,15.199999999999999,13.300000000000001,19.199999999999999,27.300000000000001,26,30.399999999999999,15.800000000000001,19.699999999999999,15,21.399999999999999],"text":["disp: 160.0 mpg: 21.0","disp: 160.0 mpg: 21.0","disp: 108.0 mpg: 22.8","disp: 258.0 mpg: 21.4","disp: 360.0 mpg: 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21.4"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(0,0,0,1)","opacity":1,"size":5.6692913385826778,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(0,0,0,1)"}},"hoveron":"points","showlegend":false,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null}],"layout":{"margin":{"t":26.228310502283104,"r":7.3059360730593621,"b":40.182648401826491,"l":37.260273972602747},"plot_bgcolor":"rgba(235,235,235,1)","paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[51.054999999999993,492.04500000000002],"tickmode":"array","ticktext":["100","200","300","400"],"tickvals":[100,200,300,400],"categoryorder":"array","categoryarray":["100","200","300","400"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"y","title":{"text":"disp","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[9.2249999999999996,35.074999999999996],"tickmode":"array","ticktext":["10","15","20","25","30","35"],"tickvals":[10,15,20,25,30,35],"categoryorder":"array","categoryarray":["10","15","20","25","30","35"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"x","title":{"text":"mpg","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[{"type":"rect","fillcolor":null,"line":{"color":null,"width":0,"linetype":[]},"yref":"paper","xref":"paper","x0":0,"x1":1,"y0":0,"y1":1}],"showlegend":false,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.68949771689498}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"34ae5172c4cd":{"x":{},"y":{},"type":"scatter"}},"cur_data":"34ae5172c4cd","visdat":{"34ae5172c4cd":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Y-axis example</h2> Everything above using <code>scale_x_continuous()</code> can be used in the same way for y axis with <code>scale_y_continuous()</code>. <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) p <- ggplot(mtcars) + geom_point(aes(disp, mpg)) + scale_y_continuous(name = "Miles Per Gallon", limits = c(0, 45), breaks = c(0, 15, 30, 45), position = 'right', labels = c('zero', 'fifteen', 'thirty', 'fourtyfive')) ggplotly(p) </code></pre></div> <div class="plotly html-widget 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Per Gallon","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[{"type":"rect","fillcolor":null,"line":{"color":null,"width":0,"linetype":[]},"yref":"paper","xref":"paper","x0":0,"x1":1,"y0":0,"y1":1}],"showlegend":false,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.68949771689498}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"34ae2a8aaa10":{"x":{},"y":{},"type":"scatter"}},"cur_data":"34ae2a8aaa10","visdat":{"34ae2a8aaa10":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Discrete axis labels</h2> <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) p <- ggplot(mtcars) + geom_bar(aes(factor(cyl))) + scale_x_discrete(labels = c("4" = "Four", "6" = "Six", "8" = "Eight")) ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-ec80d0ada26121b27c5d" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-ec80d0ada26121b27c5d">{"x":{"data":[{"orientation":"v","width":[0.89999999999999991,0.90000000000000013,0.90000000000000036],"base":[0,0,0],"x":[1,2,3],"y":[11,7,14],"text":["count: 11 factor(cyl): 4","count: 7 factor(cyl): 6","count: 14 factor(cyl): 8"],"type":"bar","textposition":"none","marker":{"autocolorscale":false,"color":"rgba(89,89,89,1)","line":{"width":1.8897637795275593,"color":"transparent"}},"showlegend":false,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null}],"layout":{"margin":{"t":26.228310502283104,"r":7.3059360730593621,"b":40.182648401826491,"l":37.260273972602747},"plot_bgcolor":"rgba(235,235,235,1)","paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[0.40000000000000002,3.6000000000000001],"tickmode":"array","ticktext":["Four","Six","Eight"],"tickvals":[1,2,3],"categoryorder":"array","categoryarray":["Four","Six","Eight"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"y","title":{"text":"factor(cyl)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-0.70000000000000007,14.699999999999999],"tickmode":"array","ticktext":["0","5","10"],"tickvals":[0,5,10],"categoryorder":"array","categoryarray":["0","5","10"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"x","title":{"text":"count","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[{"type":"rect","fillcolor":null,"line":{"color":null,"width":0,"linetype":[]},"yref":"paper","xref":"paper","x0":0,"x1":1,"y0":0,"y1":1}],"showlegend":false,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.68949771689498}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"34ae279efb14":{"x":{},"type":"bar"}},"cur_data":"34ae279efb14","visdat":{"34ae279efb14":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h2>Remove Axis Labels</h2> <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) library(ggplot2) df <- diamonds[sample(1:nrow(diamonds), size = 1000),] p <- ggplot(df, aes(carat, price, color = cut)) + geom_point() + theme(axis.text = element_blank()) ggplotly(p) </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-8adf1dcf8b34a34e5c5b" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-8adf1dcf8b34a34e5c5b">{"x":{"data":[{"x":[0.69999999999999996,0.54000000000000004,1,2.0099999999999998,2.52,1.02,2.1499999999999999,1.01,1,0.40000000000000002,1.72,0.90000000000000002,0.98999999999999999,5.0099999999999998,0.51000000000000001,1,2.0699999999999998,0.91000000000000003,1.4299999999999999,1.52,1,1.4399999999999999,1.21,1.3500000000000001,1.3300000000000001,1.2,0.77000000000000002,1.02,1.01,1.5,0.91000000000000003,0.71999999999999997,0.95999999999999996],"y":[2290,1114,2964,10772,10076,2856,5430,3546,3387,798,8264,3226,3337,18018,1668,4312,13016,3180,6727,7702,2035,7338,4147,5524,6078,2376,1956,4398,4004,5268,4550,1147,1705],"text":["carat: 0.70 price: 2290 cut: Fair","carat: 0.54 price: 1114 cut: Fair","carat: 1.00 price: 2964 cut: Fair","carat: 2.01 price: 10772 cut: Fair","carat: 2.52 price: 10076 cut: Fair","carat: 1.02 price: 2856 cut: Fair","carat: 2.15 price: 5430 cut: Fair","carat: 1.01 price: 3546 cut: Fair","carat: 1.00 price: 3387 cut: 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0.32 price: 421 cut: Good","carat: 0.90 price: 4463 cut: Good","carat: 0.77 price: 3291 cut: Good","carat: 1.61 price: 9005 cut: Good","carat: 0.70 price: 1955 cut: Good","carat: 0.91 price: 4211 cut: Good","carat: 0.35 price: 409 cut: Good","carat: 0.30 price: 895 cut: Good","carat: 1.00 price: 3640 cut: Good","carat: 0.59 price: 1327 cut: Good","carat: 1.31 price: 5429 cut: Good","carat: 0.90 price: 3595 cut: Good","carat: 0.70 price: 2367 cut: Good","carat: 1.00 price: 4474 cut: Good","carat: 0.52 price: 1349 cut: Good","carat: 2.00 price: 16206 cut: Good","carat: 1.03 price: 4326 cut: Good","carat: 0.52 price: 1701 cut: Good","carat: 0.68 price: 1341 cut: Good","carat: 0.32 price: 589 cut: Good","carat: 1.01 price: 4692 cut: Good","carat: 0.30 price: 473 cut: Good","carat: 1.01 price: 3971 cut: Good","carat: 2.00 price: 10416 cut: Good","carat: 0.54 price: 1640 cut: Good","carat: 1.51 price: 13155 cut: Good","carat: 0.66 price: 1978 cut: Good","carat: 1.08 price: 6708 cut: 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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> <h3>What About Dash?</h3> <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. Learn about how to install Dash for R at https://dashr.plot.ly/installation. 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: <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) fig <- plot_ly() # fig <- fig %>% add_trace( ... ) # fig <- fig %>% layout( ... ) library(dash) library(dashCoreComponents) library(dashHtmlComponents) app <- Dash$new() app$layout( htmlDiv( list( dccGraph(figure=fig) ) ) ) app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE) </code></pre></div> </section>  </section> </div> </main> <script> var array = []; $('.tutorial-content :header:not(h6)').each(function (i, e) { var item = $(e); var itemText = item.text(); var hash = itemText.replace(/[^a-z0-9\s]/gi, '').replace(/[_\s]/g, '-').replace(/^-+|-+$/g, '').toLowerCase(); item.attr("id", hash); array.push({text: itemText, tag: item.prop("tagName"), hash: hash}); }); $("#nav_header_insertion_list").html(array.map(function(entry) { var text = entry.text.replace(/[^a-z0-9\s\.:\-\?\!)]/gi, ''); if(entry.tag.toLowerCase() < "h4"){ return('<li class="--sidebar-item"><a href="#' + entry.hash + '">' + text + '</a></li>'); } else { return('<li class="--sidebar-item"><a href="#' + entry.hash + '">' + text + '</a></li>'); } }).join("")); //$(".tutorial-content :header:not(h6)").append( "\<div class=\"icon copy\" data-tooltip=\"Click to copy direct link\"><svg style=\"width:24px;height:24px\" viewBox=\"0 0 24 24\"><path fill=\"#000000\" d=\"M10.59,13.41C11,13.8 11,14.44 10.59,14.83C10.2,15.22 9.56,15.22 9.17,14.83C7.22,12.88 7.22,9.71 9.17,7.76V7.76L12.71,4.22C14.66,2.27 17.83,2.27 19.78,4.22C21.73,6.17 21.73,9.34 19.78,11.29L18.29,12.78C18.3,11.96 18.17,11.14 17.89,10.36L18.36,9.88C19.54,8.71 19.54,6.81 18.36,5.64C17.19,4.46 15.29,4.46 14.12,5.64L10.59,9.17C9.41,10.34 9.41,12.24 10.59,13.41M13.41,9.17C13.8,8.78 14.44,8.78 14.83,9.17C16.78,11.12 16.78,14.29 14.83,16.24V16.24L11.29,19.78C9.34,21.73 6.17,21.73 4.22,19.78C2.27,17.83 2.27,14.66 4.22,12.71L5.71,11.22C5.7,12.04 5.83,12.86 6.11,13.65L5.64,14.12C4.46,15.29 4.46,17.19 5.64,18.36C6.81,19.54 8.71,19.54 9.88,18.36L13.41,14.83C14.59,13.66 14.59,11.76 13.41,10.59C13,10.2 13,9.56 13.41,9.17Z\"/> </svg> </div>"); </script> <footer class="--footer-main"> <section class="--footer-top"> <div class="--wrap"> <ul class="--footer-body"> <li class="--footer-column"> <h6 style="color:#119dff" class="--footer-heading">JOIN OUR MAILING LIST</h6>			 <ul> 				 <li> Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more! <a href="https://go.plot.ly/subscription" class="subscribe-button" target="_blank"> Subscribe </a> </li> </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#e763fa" class="--footer-heading">Products</h6>			 <ul> <li><a href="https://plotly.com/dash/" target="_self">Dash</a></li> 				 				 <li><a href="https://plotly.com/consulting-and-oem/" target="_self">Consulting and Training</a></li> </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#636efa" class="--footer-heading">Pricing</h6>			 <ul> <li><a href="https://plotly.com/get-pricing/" target="_self">Enterprise Pricing</a></li> 				 </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#00cc96" class="--footer-heading">About Us</h6>			 <ul> <li><a href="https://plotly.com/careers" target="_self">Careers</a></li> 				 <li><a href="https://plotly.com/resources/" target="_self">Resources</a></li> 				 <li><a href="https://medium.com/@plotlygraphs" target="_self">Blog</a></li> 				 </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#EF553B" class="--footer-heading">Support</h6>			 <ul> <li><a href="https://community.plot.ly/" target="_self">Community Support</a></li> 				 <li><a href="https://plotly.com/graphing-libraries" target="_self">Documentation</a></li> 				 </ul> </li> </ul> </div> </section> <section class="--footer-meta"> <div class="--wrap"> <div class="left"> <article class="--copyright">Copyright © 2025 Plotly. 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