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<h1 class="title toc-ignore">Divvy usage by time-of-day</h1>
<h4 class="author"><em>Peter Carbonetto</em></h4>

</div>


<!-- Define defaults shared by all workflowr files. -->
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<p><strong>Last updated:</strong> 2017-07-06</p>
<!-- Insert the code version (Git commit SHA1) if Git repository
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<p><strong>Code version:</strong> 426d238</p>
<p>Here we use the Divvy trip data to examine biking trends over the course of a typical day in Chicago.</p>
<p>I begin by loading a few packages, as well as some additional functions I wrote for this project.</p>
<pre class="r"><code>library(data.table)
library(ggplot2)
source(&quot;../code/functions.R&quot;)</code></pre>
<p><br></p>
<div id="read-the-data" class="section level2">
<h2>Read the data</h2>
<p>Following <a href="first-glance.html">my earlier steps</a>, I use function <code>read.divvy.data</code> to read the trip and station data from the CSV files.</p>
<pre class="r"><code>divvy &lt;- read.divvy.data()
# Reading station data from ../data/Divvy_Stations_2016_Q4.csv.
# Reading trip data from ../data/Divvy_Trips_2016_Q1.csv.
# Reading trip data from ../data/Divvy_Trips_2016_04.csv.
# Reading trip data from ../data/Divvy_Trips_2016_05.csv.
# Reading trip data from ../data/Divvy_Trips_2016_06.csv.
# Reading trip data from ../data/Divvy_Trips_2016_Q3.csv.
# Reading trip data from ../data/Divvy_Trips_2016_Q4.csv.
# Preparing Divvy data for analysis in R.
# Converting dates and times.</code></pre>
<p>To make it easier to compile statistics by time of day, I convert the “start hour” column to a factor (<em>i.e.</em>, categorical variable).</p>
<pre class="r"><code>divvy$trips &lt;- transform(divvy$trips,start.hour = factor(start.hour,0:23))</code></pre>
<p><br></p>
</div>
<div id="count-departures-by-time-of-day" class="section level2">
<h2>Count departures by time-of-day</h2>
<p>Now that <code>start.hour</code> is a factor, it is easy to create a bar chart showing the total number of departures at each hour.</p>
<p>Unsurprisingly, there is very little biking activity at night.</p>
<p>Further, the two peaks (“modes”) in the bar chart nicely recapitulate the morning and afternoon rush hours.</p>
<pre class="r"><code>ggplot(divvy$trips,aes(start.hour)) +
  geom_bar(fill = &quot;dodgerblue&quot;,width = 0.6) +
  theme_minimal() +
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())</code></pre>
<p><img src="figure/time-of-day-trends.Rmd/timeofday-barchart-1.png" width="480" style="display: block; margin: auto;" /></p>
<p>This summary is a bit muddled because it is counting trips during the week and on the weekends. Once we separate the counts by the day of the week, the rush-hour trends become more striking. (Also notice that the rush hours disappear on Saturday and Sunday.)</p>
<pre class="r"><code>ggplot(divvy$trips,aes(start.hour)) +
  geom_bar(fill = &quot;dodgerblue&quot;,width = 0.75) +
  facet_wrap(~start.day,ncol = 2) +
  scale_x_discrete(breaks = seq(0,24,2)) +
  theme_minimal() +
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())</code></pre>
<p><img src="figure/time-of-day-trends.Rmd/timeofday-barchart-2-1.png" width="576" style="display: block; margin: auto;" /> <br></p>
</div>
<div id="time-of-day-trends-at-university-of-chicago" class="section level2">
<h2>Time-of-day trends at University of Chicago</h2>
<p>The commuting trends are different at the University of Chicago Divvy station—there isn’t much of a morning rush hour. This may be because students and staff don’t regularly use the Divvy bikes for commuting.</p>
<pre class="r"><code>ggplot(subset(divvy$trips,from_station_name == &quot;University Ave &amp; 57th St&quot;),
       aes(start.hour)) +
  geom_bar(fill = &quot;dodgerblue&quot;,width = 0.75) +
  facet_wrap(~start.day,ncol = 2) +
  scale_x_discrete(breaks = seq(0,24,2)) +
  theme_minimal() +
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())</code></pre>
<p><img src="figure/time-of-day-trends.Rmd/timeofday-uchicago-barchart-1.png" width="576" style="display: block; margin: auto;" /></p>
<p><br></p>
</div>
<div id="session-information" class="section level2">
<h2>Session information</h2>
<p>This is the version of R and the packages that were used to generate these results.</p>
<pre class="r"><code>sessionInfo()
# R version 3.3.2 (2016-10-31)
# Platform: x86_64-apple-darwin13.4.0 (64-bit)
# Running under: macOS Sierra 10.12.5
# 
# locale:
# [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
# 
# attached base packages:
# [1] stats     graphics  grDevices utils     datasets  methods   base     
# 
# other attached packages:
# [1] ggplot2_2.2.1     data.table_1.10.4
# 
# loaded via a namespace (and not attached):
#  [1] Rcpp_0.12.11     assertthat_0.2.0 digest_0.6.12    rprojroot_1.2   
#  [5] plyr_1.8.4       grid_3.3.2       gtable_0.2.0     backports_1.0.5 
#  [9] git2r_0.18.0     magrittr_1.5     scales_0.4.1     evaluate_0.10.1 
# [13] stringi_1.1.2    lazyeval_0.2.0   rmarkdown_1.6    labeling_0.3    
# [17] tools_3.3.2      stringr_1.2.0    munsell_0.4.3    yaml_2.1.14     
# [21] colorspace_1.3-2 htmltools_0.3.6  knitr_1.16       tibble_1.2</code></pre>
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