Last updated: 2018-08-24

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Expand here to see past versions:
    File Version Author Date Message
    Rmd a860ded Peter Carbonetto 2018-08-24 wflow_publish(“station-map.Rmd”)
    html 54fcf4e Peter Carbonetto 2018-04-14 Re-built station-map, time-of-day-trends and seasonal-trends webpages
    Rmd de31b24 Peter Carbonetto 2018-04-14 wflow_publish(c(“station-map.Rmd”, “seasonal-trends.Rmd”,
    Rmd db2ffe0 Peter Carbonetto 2018-04-14 wflow_publish(“station-map.Rmd”)
    html 51163d7 Peter Carbonetto 2018-03-12 Ran wflow_publish(“*.Rmd“) with version v0.11.0 of workflowr.
    html ab9176e Peter Carbonetto 2018-03-09 Added code_hiding to the analysis R Markdown files.
    html e48700b Peter Carbonetto 2018-01-30 Ran wflow_publish(“station-map.Rmd”) for demo with Simon.
    html b32e833 Peter Carbonetto 2018-01-18 Re-built all webpages using workflowr v0.1.0.
    html 0401587 Peter Carbonetto 2017-11-16 Updated license.html, setup.html, station-map.html and
    Rmd 9463eb6 Peter Carbonetto 2017-11-16 wflow_publish(c(“setup.Rmd”, “license.Rmd”, “time-of-day-trends.Rmd”,
    Rmd 6b9ddf1 Peter Carbonetto 2017-08-02 Added header with between-section spacing adjustment, and removed <br> tags from R Markdown files.
    html 727b8d9 Peter Carbonetto 2017-07-13 Re-built all the analysis files; wflow_publish(Sys.glob(“*.Rmd“)).
    Rmd 6d02ffc Peter Carbonetto 2017-07-13 Made a dozen or so small adjustments to the .Rmd files.
    html bf818d8 Peter Carbonetto 2017-07-07 Ran wflow_publish(c(“index.Rmd”, “setup.Rmd”, “station-map.Rmd”,
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    html 597355d Peter Carbonetto 2017-07-07 Ran wflow_publish(c(index.Rmd,first-glance.Rmd,station-map.Rmd,time-of-day-trends.Rmd)).
    Rmd f7da4f6 Peter Carbonetto 2017-07-07 Fixed a broken link, and made a bunch of small revisions to the notebooks.
    html f62f674 Peter Carbonetto 2017-07-05 Re-built all the files without cached chunks.
    Rmd 96f2db4 Peter Carbonetto 2017-07-05 wflow_publish(c(“index.Rmd”, “first-glance.Rmd”, “station-map.Rmd”))
    html 08c0318 Peter Carbonetto 2017-07-05 Build site.
    Rmd 8113086 Peter Carbonetto 2017-07-05 I have a first draft of the station map notebook.
    Rmd 67b8d2b Peter Carbonetto 2017-07-04 A variety of improvements to the data analysis notebooks.
    Rmd 5c4fd93 Peter Carbonetto 2017-06-29 wflow_publish(“first-look.Rmd”)

In this analysis, I will use the Divvy trip and station data to generate a map of Chicago.

I begin by loading a few packages, as well as some additional functions I wrote for this project.

library(data.table)
# Warning: package 'data.table' was built under R version 3.4.4
library(ggplot2)
# Warning: package 'ggplot2' was built under R version 3.4.4
source("../code/functions.R")

Read the data

As before, I use function read.divvy.data to read the trip and station data from the CSV files.

divvy <- 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.

Get total number of departures by station

I use the trip data to get the total number of departures by station. From these data, I create a “departures” column.

divvy$stations <-
  cbind(divvy$stations,
    data.frame(departures = as.vector(table(divvy$trips$from_station_id))))
head(divvy$stations)
#                           name latitude longitude dpcapacity online_date
# 456        2112 W Peterson Ave 41.99118 -87.68359         15   5/12/2015
# 101              63rd St Beach 41.78102 -87.57612         23   4/20/2015
# 109          900 W Harrison St 41.87468 -87.65002         19    8/6/2013
# 21  Aberdeen St & Jackson Blvd 41.87773 -87.65479         15   6/21/2013
# 80     Aberdeen St & Monroe St 41.88042 -87.65560         19   6/26/2013
# 346   Ada St & Washington Blvd 41.88283 -87.66121         15  10/10/2013
#     departures
# 456        500
# 101       1068
# 109       4813
# 21        9425
# 80       10577
# 346       8480
summary(divvy$stations$departures)
#    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
#       1     557    3058    6188    9029   90042

Create a Divvy stations map

A plot of the Divvy stations by geographic location (latitude and longitude) traces the outlines of the City of Chicago and the Lake Michigan shore. Further, the location of the downtown is apparent by scaling the area of each circle by the number of trips.

The University of Chicago Divvy station is highlighted in red.

divvy$stations <-
  transform(divvy$stations,
            at.uchicago = (name == "University Ave & 57th St"))
ggplot(divvy$stations,aes(x    = longitude,
                          y    = latitude,
                          fill = at.uchicago,
                          size = sqrt(departures))) +
  geom_point(shape = 21,color = "white") +
  scale_fill_manual(values = c("darkblue","red")) +
  theme_minimal() +
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())

Expand here to see past versions of create-stations-map-1.png:
Version Author Date
b32e833 Peter Carbonetto 2018-01-18
f62f674 Peter Carbonetto 2017-07-05

This is the version of R and the packages that were used to generate these results.

Session information

sessionInfo()
# R version 3.4.3 (2017-11-30)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS High Sierra 10.13.6
# 
# Matrix products: default
# BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
# LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
# 
# 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_3.0.0     data.table_1.11.4
# 
# loaded via a namespace (and not attached):
#  [1] Rcpp_0.12.17      compiler_3.4.3    pillar_1.2.1     
#  [4] git2r_0.21.0      plyr_1.8.4        workflowr_1.1.1  
#  [7] bindr_0.1.1       R.methodsS3_1.7.1 R.utils_2.6.0    
# [10] tools_3.4.3       digest_0.6.15     evaluate_0.10.1  
# [13] tibble_1.4.2      gtable_0.2.0      pkgconfig_2.0.1  
# [16] rlang_0.2.1       yaml_2.1.19       bindrcpp_0.2.2   
# [19] withr_2.1.2       stringr_1.3.0     dplyr_0.7.5      
# [22] knitr_1.20        rprojroot_1.3-2   grid_3.4.3       
# [25] tidyselect_0.2.4  glue_1.2.0        R6_2.2.2         
# [28] rmarkdown_1.9     purrr_0.2.5       magrittr_1.5     
# [31] whisker_0.3-2     backports_1.1.2   scales_0.5.0     
# [34] htmltools_0.3.6   assertthat_0.2.0  colorspace_1.4-0 
# [37] labeling_0.3      stringi_1.1.7     lazyeval_0.2.1   
# [40] munsell_0.4.3     R.oo_1.21.0

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