Last updated: 2020-07-13
Checks: 7 0
Knit directory: wflow-divvy/analysis/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.
The command set.seed(1)
was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.
Great job! Recording the operating system, R version, and package versions is critical for reproducibility.
Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.
Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 1c51d7c. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish
or wflow_git_commit
). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:
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
Ignored: data/Divvy_Trips_2016_Q3.csv
Ignored: data/Divvy_Trips_2016_Q4.csv
Ignored: data/README.txt
Ignored: data/data.tar.gz
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/station-map.Rmd
) and HTML (docs/station-map.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 | 1c51d7c | Peter Carbonetto | 2020-01-10 | Re-built station-map analysis with a new dev version of workflowr. |
html | 1db1d54 | Peter Carbonetto | 2020-01-08 | Re-built station-map analysis using a development version of |
html | 028c294 | Peter Carbonetto | 2020-01-06 | Re-built station-map page using workflowr 1.6.0. |
html | 859d4c9 | Peter Carbonetto | 2020-01-06 | Re-built station-map page 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 | 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”, |
html | 4f930fc | Peter Carbonetto | 2018-04-14 | Re-built station-map webpage with workflowr v0.11.0.9000. |
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 | 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 | e48700b | Peter Carbonetto | 2018-01-30 | Ran wflow_publish(“station-map.Rmd”) for demo with Simon. |
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 | 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”, |
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. |
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 | 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)
library(ggplot2)
source("../code/functions.R")
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.
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$departures)
# Min. 1st Qu. Median Mean 3rd Qu. Max.
# 1 557 3058 6188 9029 90042
A plot of the Divvy stations by geographic location (latitude and longitude) traces the outlines of the City of Chicago and the Lake Michigan shore. Further, the location of the downtown is apparent by scaling the area of each circle by the number of trips.
The University of Chicago Divvy station is highlighted in red.
divvy$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())
Version | Author | Date |
---|---|---|
028c294 | Peter Carbonetto | 2020-01-06 |
859d4c9 | Peter Carbonetto | 2020-01-06 |
138d7ee | Peter Carbonetto | 2019-07-31 |
df35db6 | Peter Carbonetto | 2018-08-24 |
54fcf4e | Peter Carbonetto | 2018-04-14 |
4f930fc | Peter Carbonetto | 2018-04-14 |
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.
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