Divvy usage over the year
Peter Carbonetto
Last updated: 2020-07-13
Checks: 7 0
Knit directory: wflow-divvy/analysis/
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Ignored files:
Ignored: .DS_Store
Ignored: analysis/.DS_Store
Ignored: data/Divvy_Stations_2016_Q1Q2.csv
Ignored: data/Divvy_Stations_2016_Q3.csv
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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These are the previous versions of the repository in which changes were made to the R Markdown (analysis/seasonal-trends.Rmd) and HTML (docs/seasonal-trends.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | b9ae8da | Peter Carbonetto | 2020-01-06 | Re-built remaining analysis pages using workflowr 1.6.0. |
| html | 138d7ee | Peter Carbonetto | 2019-07-31 | Re-built the remaining pages with workflowr 1.4.0. |
| html | 5357a3b | Peter Carbonetto | 2019-04-10 | Build site. |
| Rmd | 61c85b2 | Peter Carbonetto | 2019-04-10 | wflow_publish(c(“seasonal-trends.Rmd”, “station-map.Rmd”, |
| html | 7658ee0 | Peter Carbonetto | 2019-04-10 | Re-built other analsyis pages with workflowr 1.2.0.9000. |
| html | 54fcf4e | Peter Carbonetto | 2018-04-14 | Re-built station-map, time-of-day-trends and seasonal-trends webpages |
| Rmd | f163fe4 | Peter Carbonetto | 2018-04-14 | Updates for new workflowr version, v0.11.0.9000. |
| html | f163fe4 | Peter Carbonetto | 2018-04-14 | Updates for new workflowr version, v0.11.0.9000. |
| html | 51163d7 | Peter Carbonetto | 2018-03-12 | Ran wflow_publish("*.Rmd") with version v0.11.0 of workflowr. |
| html | 440ea39 | Peter Carbonetto | 2018-03-09 | Removed the code_folding feature. |
| html | ab9176e | Peter Carbonetto | 2018-03-09 | Added code_hiding to the analysis R Markdown files. |
| html | 97cbef6 | Peter Carbonetto | 2018-01-23 | Adjusted footer and re-built all pages. |
| html | b32e833 | Peter Carbonetto | 2018-01-18 | Re-built all webpages using workflowr v0.1.0. |
| html | 93a3a86 | Peter Carbonetto | 2017-11-16 | Re-built seasonal-trends.html using workflowr v0.8.0. |
| Rmd | 5b8e33f | Peter Carbonetto | 2017-11-16 | wflow_publish(“seasonal-trends.Rmd”) |
| html | 7979358 | Peter Carbonetto | 2017-08-02 | Re-built all webpages. |
| Rmd | 6b9ddf1 | Peter Carbonetto | 2017-08-02 | Added header with between-section spacing adjustment, and removed <br> tags from R Markdown files. |
| html | 13f03ed | Peter Carbonetto | 2017-07-31 | Re-built all webpages. |
| Rmd | c6e8686 | Peter Carbonetto | 2017-07-31 | wflow_publish(Sys.glob("*.Rmd")) |
| html | 6d2c5f4 | Peter Carbonetto | 2017-07-24 | Re-built website after fixing MathJax settings in footer. |
| html | e3afc60 | Peter Carbonetto | 2017-07-24 | Re-built all the R Markdown documents using workflowr 0.7.0, and with |
| 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 | cbee77b | Peter Carbonetto | 2017-07-07 | Ran wflow_publish(seasonal-trends.Rmd). |
| Rmd | 984143c | Peter Carbonetto | 2017-07-07 | Made a few small revisions to seasonal-trends.Rmd. |
| html | 34518f3 | Peter Carbonetto | 2017-07-06 | Built first draft of seasonal trends notebook. |
| Rmd | 6ef7a6c | Peter Carbonetto | 2017-07-06 | wflow_publish(“seasonal-trends.Rmd”) |
| Rmd | c8f7e10 | Peter Carbonetto | 2017-07-06 | Implemented first draft of seasonal trends notebook. |
In this last analysis, I use the Divvy trip data to examine biking trends in Chicago over the course of one year.
I begin by loading a few packages, as well as some additional functions I wrote for this project.
library(data.table)
library(ggplot2)
source("../code/functions.R")Read the data
First, I read in the Divvy 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.I would like to analyze city-wide departures for each day of the year, so I create a new “day of year” column.
divvy$trips <-
transform(divvy$trips,
start.dayofyear = factor(as.numeric(format(divvy$trips$starttime,"%j")),
1:366))I also convert the “start week” column to a factor to make it easier to compile trip statistics for each week in the year.
divvy$trips <- transform(divvy$trips,start.week = factor(start.week,0:52))Plot departures per day and per week
Here, I create a new vector containing the number of trips taken in each day of the year, and then I plot these numbers.
counts.day <- as.vector(table(divvy$trips$start.dayofyear))
ggplot(data.frame(day = 1:366,departures = counts.day),
aes(x = day,y = departures)) +
geom_point(color = "darkblue",shape = 19,size = 1) +
geom_line(color = "darkblue") +
scale_x_continuous(breaks = seq(0,350,25)) +
theme_minimal() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
This plot shows a sizeable increase in bike trips during summer days, but since the number of trips varies widely from one day to the next, I think the plot will look nicer if instead we count the number of trips per week.
counts.week <- as.vector(table(divvy$trips$start.week))
ggplot(data.frame(week = 0:52,departures = counts.week),
aes(x = week,y = departures)) +
geom_point(color = "darkblue",shape = 19,size = 1.5) +
geom_line(color = "darkblue") +
theme_minimal() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
Indeed, the seasonal trends are less noisy in this plot; the majority of Divvy bike trips in Chicago are taken when the weather is warmer (weeks 20–40), and very few people are using the Divvy bikes in the cold winter months.
Seasonal trends at the University of Chicago
When we analyze trips taken at the University of Chicago bike station, the “bump” during warmer months flattens out. This is probably because a large fraction of University of Chicago students leave during the summer.
dat <- subset(divvy$trips,from_station_name == "University Ave & 57th St")
counts.week.uchicago <- as.vector(table(dat$start.week))
ggplot(data.frame(week = 0:52,departures = counts.week.uchicago),
aes(x = week,y = departures)) +
geom_point(color = "darkblue",shape = 19,size = 1.5) +
geom_line(color = "darkblue") +
theme_minimal() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
This is the version of R and the packages that were used to generate these results.
sessionInfo()
# R version 3.6.2 (2019-12-12)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS Catalina 10.15.5
#
# Matrix products: default
# BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
# LAPACK: /Library/Frameworks/R.framework/Versions/3.6/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_3.3.0 data.table_1.12.8
#
# loaded via a namespace (and not attached):
# [1] Rcpp_1.0.3 compiler_3.6.2 pillar_1.4.3 later_1.0.0
# [5] git2r_0.26.1 workflowr_1.6.2 tools_3.6.2 digest_0.6.23
# [9] evaluate_0.14 lifecycle_0.1.0 tibble_2.1.3 gtable_0.3.0
# [13] pkgconfig_2.0.3 rlang_0.4.5 yaml_2.2.0 xfun_0.11
# [17] withr_2.1.2 stringr_1.4.0 dplyr_0.8.3 knitr_1.26
# [21] fs_1.3.1 rprojroot_1.3-2 grid_3.6.2 tidyselect_0.2.5
# [25] glue_1.3.1 R6_2.4.1 rmarkdown_2.0 farver_2.0.1
# [29] purrr_0.3.3 magrittr_1.5 whisker_0.4 backports_1.1.5
# [33] scales_1.1.0 promises_1.1.0 htmltools_0.4.0 assertthat_0.2.1
# [37] colorspace_1.4-1 httpuv_1.5.2 labeling_0.3 stringi_1.4.3
# [41] munsell_0.5.0 crayon_1.3.4