A map of the Divvy stations in Chicago
Peter Carbonetto
Last updated: 2019-04-10
Checks: 6 0
Knit directory: wflow-divvy/analysis/
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Ignored: data/Divvy_Stations_2016_Q1Q2.csv
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Ignored: data/Divvy_Stations_2016_Q4.csv
Ignored: data/Divvy_Trips_2016_04.csv
Ignored: data/Divvy_Trips_2016_05.csv
Ignored: data/Divvy_Trips_2016_06.csv
Ignored: data/Divvy_Trips_2016_Q1.csv
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | df35db6 | Peter Carbonetto | 2018-08-24 | Build site. |
| 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”, |
| Rmd | e4ba033 | Peter Carbonetto | 2017-07-07 | Removed use of word ‘notebook’. |
| 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$departures)
# Min. 1st Qu. Median Mean 3rd Qu. Max.
# 1 557 3058 6188 9029 90042Create a Divvy stations map
A plot of the Divvy stations by geographic location (latitude and longitude) traces the outlines of the City of Chicago and the Lake Michigan shore. Further, the location of the downtown is apparent by scaling the area of each circle by the number of trips.
The University of Chicago Divvy station is highlighted in red.
divvy$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())
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_3.1.0 data.table_1.11.4
#
# loaded via a namespace (and not attached):
# [1] Rcpp_1.0.0 knitr_1.20 whisker_0.3-2
# [4] magrittr_1.5 workflowr_1.2.0.9000 tidyselect_0.2.5
# [7] munsell_0.4.3 colorspace_1.4-0 R6_2.2.2
# [10] rlang_0.3.1 dplyr_0.8.0.1 stringr_1.3.1
# [13] plyr_1.8.4 tools_3.4.3 grid_3.4.3
# [16] gtable_0.2.0 withr_2.1.2 git2r_0.23.3
# [19] htmltools_0.3.6 assertthat_0.2.0 yaml_2.2.0
# [22] lazyeval_0.2.1 rprojroot_1.3-2 digest_0.6.17
# [25] tibble_2.1.1 crayon_1.3.4 purrr_0.2.5
# [28] fs_1.2.6 glue_1.3.0 evaluate_0.11
# [31] rmarkdown_1.10 labeling_0.3 stringi_1.2.4
# [34] pillar_1.3.1 compiler_3.4.3 scales_0.5.0
# [37] backports_1.1.2 pkgconfig_2.0.2