class: center, middle, inverse, title-slide .title[ # Interactive Graphs with Plotly ] .author[ ### María del Pilar Morales Ávila ] --- # Introduction **Date:** July 03, 2025 - This presentation shows the use of the **Plotly** package in R to create interactive visualizations. - Based on the original report published on RPubs. --- # Load Libraries ``` r library(plotly) library(ggplot2) ``` --- # Plot 1: Interactive Histogram ``` r data <- mtcars plot_ly(data, x = ~mpg, type = "histogram") ``` <div class="plotly html-widget html-fill-item" id="htmlwidget-76b903ceacf140ba4f8b" style="width:504px;height:504px;"></div> <script type="application/json" data-for="htmlwidget-76b903ceacf140ba4f8b">{"x":{"visdat":{"4d285e4e33c6":["function () ","plotlyVisDat"]},"cur_data":"4d285e4e33c6","attrs":{"4d285e4e33c6":{"x":{},"alpha_stroke":1,"sizes":[10,100],"spans":[1,20],"type":"histogram"}},"layout":{"margin":{"b":40,"l":60,"t":25,"r":10},"xaxis":{"domain":[0,1],"automargin":true,"title":"mpg"},"yaxis":{"domain":[0,1],"automargin":true},"hovermode":"closest","showlegend":false},"source":"A","config":{"modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"data":[{"x":[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],"type":"histogram","marker":{"color":"rgba(31,119,180,1)","line":{"color":"rgba(31,119,180,1)"}},"error_y":{"color":"rgba(31,119,180,1)"},"error_x":{"color":"rgba(31,119,180,1)"},"xaxis":"x","yaxis":"y","frame":null}],"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> --- # Plot 2: Scatter Plot ``` r plot_ly(data, x = ~wt, y = ~mpg, type = "scatter", mode = "markers") ``` <div class="plotly html-widget html-fill-item" id="htmlwidget-0c51c425f2b9edb1b1a9" style="width:504px;height:504px;"></div> <script type="application/json" data-for="htmlwidget-0c51c425f2b9edb1b1a9">{"x":{"visdat":{"4d2859645829":["function () ","plotlyVisDat"]},"cur_data":"4d2859645829","attrs":{"4d2859645829":{"x":{},"y":{},"mode":"markers","alpha_stroke":1,"sizes":[10,100],"spans":[1,20],"type":"scatter"}},"layout":{"margin":{"b":40,"l":60,"t":25,"r":10},"xaxis":{"domain":[0,1],"automargin":true,"title":"wt"},"yaxis":{"domain":[0,1],"automargin":true,"title":"mpg"},"hovermode":"closest","showlegend":false},"source":"A","config":{"modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"data":[{"x":[2.6200000000000001,2.875,2.3199999999999998,3.2149999999999999,3.4399999999999999,3.46,3.5699999999999998,3.1899999999999999,3.1499999999999999,3.4399999999999999,3.4399999999999999,4.0700000000000003,3.73,3.7799999999999998,5.25,5.4240000000000004,5.3449999999999998,2.2000000000000002,1.615,1.835,2.4649999999999999,3.52,3.4350000000000001,3.8399999999999999,3.8450000000000002,1.9350000000000001,2.1400000000000001,1.5129999999999999,3.1699999999999999,2.77,3.5699999999999998,2.7799999999999998],"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],"mode":"markers","type":"scatter","marker":{"color":"rgba(31,119,180,1)","line":{"color":"rgba(31,119,180,1)"}},"error_y":{"color":"rgba(31,119,180,1)"},"error_x":{"color":"rgba(31,119,180,1)"},"line":{"color":"rgba(31,119,180,1)"},"xaxis":"x","yaxis":"y","frame":null}],"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> --- # Plot 3: 3D Surface Plot ``` r plot_ly(z = ~volcano) %>% add_surface() ``` <div class="plotly html-widget html-fill-item" id="htmlwidget-f78b97d5f75b6c958b21" style="width:504px;height:504px;"></div> <script type="application/json" data-for="htmlwidget-f78b97d5f75b6c958b21">{"x":{"visdat":{"4d287aa96d3c":["function () 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--- # Plot 4: Line Chart ``` r x <- seq(0, 2*pi, length.out = 100) y <- sin(x) plot_ly(x = ~x, y = ~y, type = 'scatter', mode = 'lines') ``` <div class="plotly html-widget html-fill-item" id="htmlwidget-5211e94ab6ae0c91f78e" style="width:504px;height:504px;"></div> <script type="application/json" data-for="htmlwidget-5211e94ab6ae0c91f78e">{"x":{"visdat":{"4d284d5433b":["function () 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--- # Conclusion - Plotly is a powerful library for creating interactive visualizations in R. - It integrates well with RStudio and is ideal for exploratory data analysis and dashboards. --- # Thank You 🙌 Any questions?