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The anyflights
package supplies a set of functions to
generate air travel data (and data packages!) similar to nycflights13
.
With a user-defined year and airport, the anyflights
function will grab data on:
flights
: all flights that departed a given airport in a
given year and monthweather
: hourly meterological data for a given airport
in a given year and monthairports
: airport names, FAA codes, and locationsairlines
: translation between two letter carrier
(airline) codes and namesplanes
: construction information about each plane found
in flights
The package also exports a set of functions to query each of the
above datasets individually. Each of the functions are named
get_*
followed with the names of the datasets (shown above
in code
), and require a varying combination of the
station
(character vector of FAA LID airport codes),
year
(as an integer), and month
(integer
vector) arguments. Optionally, the user can also supply a
dir
argument (filepath to a folder) to save the resulting
datasets.
These functions require a strong connection to run; expect
several minutes of runtime, especially for the anyflights
and get_flights
functions.
The FAA usually posts all of the data for a given year during February or March of the following year. All airports with an FAA LID code are supported, to my knowledge. Data queries earlier than 2013 are significantly less thoroughly tested than those 2013 and on.
anyflights
is now on CRAN! Install with the following
code:
install.packages("anyflights")
To install the developmental version, use the following code:
#install.packages("remotes")
::install_github("simonpcouch/anyflights") remotes
To grab a named list of 5 dataframes giving
nycflights13
-like air travel data for the Portland
International Airport during June 2019, you could call:
<- anyflights("PDX", 2019, 6) pdxflights19
To grab the original nycflights13
datasets, try:
<- anyflights(c("JFK", "LGA", "EWR"), 2013) nycflights13_
The package also provides an as_flights_package
function
to create a data-only package from the data outputted by
anyflights
. To create the package from the data, just
supply a name:
%>%
pdxflights19 as_flights_package("pdxflights")
and check out the data-only package in the pdxflights
directory! 🐛
If you have used anyflights
to create a data package,
please link me to the repository and I might feature it here! Please do
not submit the outputted package to CRAN or similar repositories as
original packages.
Contributions to anyflights
, whether in the form of bug
fixes, issue reports, new code or documentation improvements are
encouraged and welcome. Please see CONTRIBUTING.md
if you’re interested in contributing!
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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