Last updated: 2017-06-29
Code version: e4e8996
Begin by loading packages and some useful function definitions into the R environment.
library(data.table)
source("../code/functions.R")
I wrote a function, read.divvy.data
to read the trip and station data from the CSV files. It uses the fread
function from the data.table
package which is much faster than the read.table
function. It also does a few additional data processing steps so that the data are in a format that are easier to work with for our analyses.
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.
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] data.table_1.10.4
loaded via a namespace (and not attached):
[1] backports_1.0.5 magrittr_1.5 rprojroot_1.2 tools_3.3.2
[5] htmltools_0.3.6 yaml_2.1.14 Rcpp_0.12.11 stringi_1.1.2
[9] rmarkdown_1.6 knitr_1.16 git2r_0.18.0 stringr_1.2.0
[13] digest_0.6.12 evaluate_0.10.1
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