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<h1 class="title toc-ignore">Plotly</h1>

</div>


<p>This page is about making some plotly examples.</p>
<pre class="r"><code>library(tidyverse)</code></pre>
<pre><code>## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --</code></pre>
<pre><code>## v ggplot2 3.3.5     v purrr   0.3.4
## v tibble  3.1.4     v dplyr   1.0.7
## v tidyr   1.1.3     v stringr 1.4.0
## v readr   2.0.1     v forcats 0.5.1</code></pre>
<pre><code>## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()</code></pre>
<pre class="r"><code>library(p8105.datasets)

library(plotly)</code></pre>
<pre><code>## 
## Attaching package: &#39;plotly&#39;</code></pre>
<pre><code>## The following object is masked from &#39;package:ggplot2&#39;:
## 
##     last_plot</code></pre>
<pre><code>## The following object is masked from &#39;package:stats&#39;:
## 
##     filter</code></pre>
<pre><code>## The following object is masked from &#39;package:graphics&#39;:
## 
##     layout</code></pre>
<p>Let’s look at the NYC airbnb data</p>
<pre class="r"><code>data(&quot;nyc_airbnb&quot;)

nyc_airbnb = 
  nyc_airbnb %&gt;% 
  mutate(stars = review_scores_location / 2) %&gt;% 
  select(neighbourhood_group, neighbourhood, stars, price, room_type, lat, long) %&gt;% 
  filter(
    neighbourhood_group == &quot;Manhattan&quot;,
    room_type == &quot;Entire home/apt&quot;,
    price %in% 100:500
  ) %&gt;% 
  drop_na(stars)</code></pre>
<div id="make-a-scatterplot" class="section level2">
<h2>Make a scatterplot</h2>
<p>Here’s a plotly scatterplot!</p>
<pre class="r"><code>nyc_airbnb %&gt;% 
  mutate(
    text_label = str_c(&quot;Price: $&quot;, price, &quot;\nStars: &quot;, stars)
  ) %&gt;% 
  plot_ly(
    x = ~lat, y = ~long, type = &quot;scatter&quot;, mode = &quot;markers&quot;,
    color = ~price, text = ~text_label, alpha = .5
  )</code></pre>
<div id="htmlwidget-88033ddfda09c6cf5756" style="width:672px;height:480px;" class="plotly html-widget"></div>
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</div>
<div id="plotly-boxplot" class="section level2">
<h2>Plotly boxplot</h2>
<pre class="r"><code>nyc_airbnb %&gt;%
  mutate(
    neighbourhood = fct_reorder(neighbourhood, price)
  ) %&gt;% 
  plot_ly(
    y = ~ price, color = ~neighbourhood, type = &quot;box&quot;,
    colors = &quot;viridis&quot;)</code></pre>
<div id="htmlwidget-886e6d9a8469ff304c50" style="width:672px;height:480px;" class="plotly html-widget"></div>
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<p>Here comes a bar chart …</p>
<pre class="r"><code>nyc_airbnb %&gt;% 
  count(neighbourhood) %&gt;% 
  mutate(neighbourhood = fct_reorder(neighbourhood, n)) %&gt;% 
  plot_ly(x = ~neighbourhood, y = ~n, color = ~neighbourhood, type = &quot;bar&quot;, colors = &quot;viridis&quot;)</code></pre>
<div id="htmlwidget-78f19f9b62f49eaf120a" style="width:672px;height:480px;" class="plotly html-widget"></div>
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</div>
<div id="ggplotly" class="section level2">
<h2>ggplotly</h2>
<pre class="r"><code>gg_lat_long = 
  nyc_airbnb %&gt;% 
  ggplot(aes(x = lat, y = long, color = price)) + 
  geom_point()

ggplotly(gg_lat_long)</code></pre>
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