> client <- btw_client()
Using model = "claude-3-7-sonnet-latest".
> btw_app(client = client)
╔═══════════════════════════╗
║ Entering interactive chat ║
║ Press Ctrl+C to quit. ║
╚═══════════════════════════╝
> client
<Chat Anthropic/claude-3-7-sonnet-latest turns=13 tokens=40801/1142 $0.14>
── system [0] ────────────────────────────────────────────────────────────────────────────────────────────────────────────
# System and Session Context
Please account for the following R session and system settings in all responses.
<system_info>
R_VERSION: R version 4.5.0 (2025-04-11)
OS: macOS Sequoia 15.4.1
SYSTEM: aarch64, darwin20
UI: Positron (a VS Code equivalent)
LANGUAGE: (EN)
LOCALE: en_US.UTF-8
ENCODING: en_US.UTF-8
TIMEZONE: America/Chicago
DATE: Thursday, May 22, 2025 (2025-05-22)
</system_info>
# Tools
You have access to tools that help you interact with the user's R session and workspace. Use these tools when they are helpful and appropriate to complete the user's request. These tools are available to augment your ability to help the user, but you are smart and capable and can answer many things on your own. It is okay to answer the user without relying on these tools.
---
# System and Session Context
Please account for the following R session and system settings in all responses.
<system_info>
R_VERSION: R version 4.5.0 (2025-04-11)
OS: macOS Sequoia 15.4.1
SYSTEM: aarch64, darwin20
UI: Positron (a VS Code equivalent)
LANGUAGE: (EN)
LOCALE: en_US.UTF-8
ENCODING: en_US.UTF-8
TIMEZONE: America/Chicago
DATE: Thursday, May 22, 2025 (2025-05-22)
</system_info>
# Tools
You have access to tools that help you interact with the user's R session and workspace. Use these tools when they are helpful and appropriate to complete the user's request. These tools are available to augment your ability to help the user, but you are smart and capable and can answer many things on your own. It is okay to answer the user without relying on these tools.
---
── user [3658] ───────────────────────────────────────────────────────────────────────────────────────────────────────────
What R packages support grabbing data on flights in the U.S.?
── assistant [110] ───────────────────────────────────────────────────────────────────────────────────────────────────────
I'll look for R packages that provide data on U.S. flights. Let me search for relevant packages.
[tool request (toolu_01AiKdM3QoQofVtoXD8iUA7E)]: btw_tool_search_packages(query = "US flights data", intent = "Finding packages related to U.S. flight data")
── user [1418] ───────────────────────────────────────────────────────────────────────────────────────────────────────────
[tool result (toolu_01AiKdM3QoQofVtoXD8iUA7E)]:
Found 10000 packages matching `US flights data`, showing 10 results.
### nycflights13 (v1.0.2) -- Flights that Departed NYC in 2013
* Maintainer: Hadley Wickham
* Homepage: https://github.com/hadley/nycflights13
* Date: 2021-04-12
* Downloads Last Month: 38,907
Airline on-time data for all flights departing NYC in 2013.
Also includes useful 'metadata' on airlines, airports, weather, and
planes.
### ggplot2 (v3.5.2) -- Create Elegant Data Visualisations Using the Grammar of Graphics
* Maintainer: Thomas Lin Pedersen
* Homepage: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
* Date: 2025-04-09
* Downloads Last Month: 1,757,848
A system for 'declaratively' creating graphics, based on "The
Grammar of Graphics". You provide the data, tell 'ggplot2' how to map
variables to aesthetics, what graphical primitives to use, and it
takes care of the details.
### igraphdata (v1.0.1) -- A Collection of Network Data Sets for the 'igraph' Package
* Maintainer: Gabor Csardi
* Homepage: http://igraph.org
* Date: 2015-07-13
* Downloads Last Month: 4,834
A small collection of various network data sets,
to use with the 'igraph' package: the Enron email network, various food webs,
interactions in the immunoglobulin protein, the karate club network,
Koenigsberg's bridges, visuotactile brain areas of the macaque monkey,
UK faculty friendship network, domestic US flights network, etc.
### dplyr (v1.1.4) -- A Grammar of Data Manipulation
* Maintainer: Hadley Wickham
* Homepage: https://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr
* Date: 2023-11-17
* Downloads Last Month: 1,647,735
A fast, consistent tool for working with data frame like
objects, both in memory and out of memory.
### MALDIquant (v1.22.3) -- Quantitative Analysis of Mass Spectrometry Data
* Maintainer: Sebastian Gibb
* Homepage: https://strimmerlab.github.io/software/maldiquant/, https://github.com/sgibb/MALDIquant/
* Date: 2024-08-19
* Downloads Last Month: 4,668
A complete analysis pipeline for matrix-assisted laser
desorption/ionization-time-of-flight (MALDI-TOF) and other
two-dimensional mass spectrometry data. In addition to commonly
used plotting and processing methods it includes distinctive
features, namely baseline subtraction methods such as
morphological filters (TopHat) or the statistics-sensitive
non-linear iterative peak-clipping algorithm (SNIP), peak
alignment using warping functions, handling of replicated
measurements as well as allowing spectra with different
resolutions.
### tidyr (v1.3.1) -- Tidy Messy Data
* Maintainer: Hadley Wickham
* Homepage: https://tidyr.tidyverse.org, https://github.com/tidyverse/tidyr
* Date: 2024-01-24
* Downloads Last Month: 1,098,165
Tools to help to create tidy data, where each column is a
variable, each row is an observation, and each cell contains a single
value. 'tidyr' contains tools for changing the shape (pivoting) and
hierarchy (nesting and 'unnesting') of a dataset, turning deeply
nested lists into rectangular data frames ('rectangling'), and
extracting values out of string columns. It also includes tools for
working with missing values (both implicit and explicit).
### tibble (v3.2.1) -- Simple Data Frames
* Maintainer: Kirill Müller
* Homepage: https://tibble.tidyverse.org/, https://github.com/tidyverse/tibble
* Date: 2023-03-20
* Downloads Last Month: 1,299,062
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional
data frame.
### testthat (v3.2.3) -- Unit Testing for R
* Maintainer: Hadley Wickham
* Homepage: https://testthat.r-lib.org, https://github.com/r-lib/testthat
* Date: 2025-01-13
* Downloads Last Month: 515,068
Software testing is important, but, in part because it is
frustrating and boring, many of us avoid it. 'testthat' is a testing
framework for R that is easy to learn and use, and integrates with
your existing 'workflow'.
### reshape2 (v1.4.4) -- Flexibly Reshape Data: A Reboot of the Reshape Package
* Maintainer: Hadley Wickham
* Homepage: https://github.com/hadley/reshape
* Date: 2020-04-09
* Downloads Last Month: 351,328
Flexibly restructure and aggregate data using just two
functions: melt and 'dcast' (or 'acast').
### knitr (v1.50) -- A General-Purpose Package for Dynamic Report Generation in R
* Maintainer: Yihui Xie
* Homepage: https://yihui.org/knitr/
* Date: 2025-03-16
* Downloads Last Month: 1,149,735
Provides a general-purpose tool for dynamic report generation in R
using Literate Programming techniques.
── assistant [234] ───────────────────────────────────────────────────────────────────────────────────────────────────────
Based on my search, I found several R packages that provide access to U.S. flight data:
1. **nycflights13** - This is the most directly relevant package. It contains airline on-time data for all flights departing from New York City in 2013, along with useful metadata on airlines, airports, weather, and planes. This is commonly used for teaching and data analysis examples.
2. **igraphdata** - This package includes a domestic US flights network dataset as part of its collection of network data sets for use with the 'igraph' package.
For more comprehensive or current flight data, you might need to consider packages that help you access aviation APIs or download data from transportation authorities. The packages above primarily contain static datasets rather than tools for grabbing live or updated flight data.
If you're looking for more current flight data or data from specific regions or time periods, you might need to look into packages that facilitate API connections to services like the Bureau of Transportation Statistics or FAA data sources. Would you like me to search for more specific flight data packages or resources?
── user [9] ──────────────────────────────────────────────────────────────────────────────────────────────────────────────
Sure, try another search!
── assistant [115] ───────────────────────────────────────────────────────────────────────────────────────────────────────
I'll conduct another search to find more specific R packages that might help with accessing or analyzing U.S. flight data.
[tool request (toolu_01U4LouFXTPhH97j8c1Xhwfw)]: btw_tool_search_packages(query = "aviation flight API FAA data", and intent = "Finding packages for accessing aviation and FAA flight data")
── user [1557] ───────────────────────────────────────────────────────────────────────────────────────────────────────────
[tool result (toolu_01U4LouFXTPhH97j8c1Xhwfw)]:
Found 10000 packages matching `aviation flight API FAA data`, showing 10 results.
### covr (v3.6.4) -- Test Coverage for Packages
* Maintainer: Jim Hester
* Homepage: https://covr.r-lib.org, https://github.com/r-lib/covr
* Date: 2023-11-09
* Downloads Last Month: 164,755
Track and report code coverage for your package and (optionally)
upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or
'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of
code being exercised by a set of tests. It is an indirect measure of test
quality and completeness. This package is compatible with any testing
methodology or framework and tracks coverage of both R code and compiled
C/C++/FORTRAN code.
### dplyr (v1.1.4) -- A Grammar of Data Manipulation
* Maintainer: Hadley Wickham
* Homepage: https://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr
* Date: 2023-11-17
* Downloads Last Month: 1,647,735
A fast, consistent tool for working with data frame like
objects, both in memory and out of memory.
### ggplot2 (v3.5.2) -- Create Elegant Data Visualisations Using the Grammar of Graphics
* Maintainer: Thomas Lin Pedersen
* Homepage: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
* Date: 2025-04-09
* Downloads Last Month: 1,757,848
A system for 'declaratively' creating graphics, based on "The
Grammar of Graphics". You provide the data, tell 'ggplot2' how to map
variables to aesthetics, what graphical primitives to use, and it
takes care of the details.
### rstudioapi (v0.17.1) -- Safely Access the RStudio API
* Maintainer: Kevin Ushey
* Homepage: https://rstudio.github.io/rstudioapi/, https://github.com/rstudio/rstudioapi
* Date: 2024-10-22
* Downloads Last Month: 770,625
Access the RStudio API (if available) and provide informative error
messages when it's not.
### tidyr (v1.3.1) -- Tidy Messy Data
* Maintainer: Hadley Wickham
* Homepage: https://tidyr.tidyverse.org, https://github.com/tidyverse/tidyr
* Date: 2024-01-24
* Downloads Last Month: 1,098,165
Tools to help to create tidy data, where each column is a
variable, each row is an observation, and each cell contains a single
value. 'tidyr' contains tools for changing the shape (pivoting) and
hierarchy (nesting and 'unnesting') of a dataset, turning deeply
nested lists into rectangular data frames ('rectangling'), and
extracting values out of string columns. It also includes tools for
working with missing values (both implicit and explicit).
### tibble (v3.2.1) -- Simple Data Frames
* Maintainer: Kirill Müller
* Homepage: https://tibble.tidyverse.org/, https://github.com/tidyverse/tibble
* Date: 2023-03-20
* Downloads Last Month: 1,299,062
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional
data frame.
### jsonlite (v2.0.0) -- A Simple and Robust JSON Parser and Generator for R
* Maintainer: Jeroen Ooms
* Homepage: https://jeroen.r-universe.dev/jsonlite https://arxiv.org/abs/1403.2805
* Date: 2025-03-27
* Downloads Last Month: 1,438,755
A reasonably fast JSON parser and generator, optimized for statistical
data and the web. Offers simple, flexible tools for working with JSON in R, and
is particularly powerful for building pipelines and interacting with a web API.
The implementation is based on the mapping described in the vignette (Ooms, 2014).
In addition to converting JSON data from/to R objects, 'jsonlite' contains
functions to stream, validate, and prettify JSON data. The unit tests included
with the package verify that all edge cases are encoded and decoded consistently
for use with dynamic data in systems and applications.
### nycflights13 (v1.0.2) -- Flights that Departed NYC in 2013
* Maintainer: Hadley Wickham
* Homepage: https://github.com/hadley/nycflights13
* Date: 2021-04-12
* Downloads Last Month: 38,907
Airline on-time data for all flights departing NYC in 2013.
Also includes useful 'metadata' on airlines, airports, weather, and
planes.
### lubridate (v1.9.4) -- Make Dealing with Dates a Little Easier
* Maintainer: Vitalie Spinu
* Homepage: https://lubridate.tidyverse.org, https://github.com/tidyverse/lubridate
* Date: 2024-12-08
* Downloads Last Month: 850,592
Functions to work with date-times and time-spans: fast and
user friendly parsing of date-time data, extraction and updating of
components of a date-time (years, months, days, hours, minutes, and
seconds), algebraic manipulation on date-time and time-span objects.
The 'lubridate' package has a consistent and memorable syntax that
makes working with dates easy and fun.
### readr (v2.1.5) -- Read Rectangular Text Data
* Maintainer: Jennifer Bryan
* Homepage: https://readr.tidyverse.org, https://github.com/tidyverse/readr
* Date: 2024-01-10
* Downloads Last Month: 898,012
The goal of 'readr' is to provide a fast and friendly way to
read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed
to flexibly parse many types of data found in the wild, while still
cleanly failing when data unexpectedly changes.
── assistant [108] ───────────────────────────────────────────────────────────────────────────────────────────────────────
Let me try another search with different keywords to find more specialized aviation data packages:
[tool request (toolu_012hFTNNzgY4f1n7Q4SvWdS1)]: btw_tool_search_packages(query = "Bureau of Transportation Statistics BTS airline data", and intent = "Finding packages that access Bureau of Transportation Statistics data")
── user [1730] ───────────────────────────────────────────────────────────────────────────────────────────────────────────
[tool result (toolu_012hFTNNzgY4f1n7Q4SvWdS1)]:
Found 10000 packages matching `Bureau of Transportation Statistics BTS airline data`, showing 10 results.
### dplyr (v1.1.4) -- A Grammar of Data Manipulation
* Maintainer: Hadley Wickham
* Homepage: https://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr
* Date: 2023-11-17
* Downloads Last Month: 1,647,735
A fast, consistent tool for working with data frame like
objects, both in memory and out of memory.
### ggplot2 (v3.5.2) -- Create Elegant Data Visualisations Using the Grammar of Graphics
* Maintainer: Thomas Lin Pedersen
* Homepage: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
* Date: 2025-04-09
* Downloads Last Month: 1,757,848
A system for 'declaratively' creating graphics, based on "The
Grammar of Graphics". You provide the data, tell 'ggplot2' how to map
variables to aesthetics, what graphical primitives to use, and it
takes care of the details.
### tidyr (v1.3.1) -- Tidy Messy Data
* Maintainer: Hadley Wickham
* Homepage: https://tidyr.tidyverse.org, https://github.com/tidyverse/tidyr
* Date: 2024-01-24
* Downloads Last Month: 1,098,165
Tools to help to create tidy data, where each column is a
variable, each row is an observation, and each cell contains a single
value. 'tidyr' contains tools for changing the shape (pivoting) and
hierarchy (nesting and 'unnesting') of a dataset, turning deeply
nested lists into rectangular data frames ('rectangling'), and
extracting values out of string columns. It also includes tools for
working with missing values (both implicit and explicit).
### tibble (v3.2.1) -- Simple Data Frames
* Maintainer: Kirill Müller
* Homepage: https://tibble.tidyverse.org/, https://github.com/tidyverse/tibble
* Date: 2023-03-20
* Downloads Last Month: 1,299,062
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional
data frame.
### MASS (v7.3.65) -- Support Functions and Datasets for Venables and Ripley's MASS
* Maintainer: Brian Ripley
* Homepage: http://www.stats.ox.ac.uk/pub/MASS4/
* Date: 2025-02-28
* Downloads Last Month: 135,031
Functions and datasets to support Venables and Ripley,
"Modern Applied Statistics with S" (4th edition, 2002).
### jsonlite (v2.0.0) -- A Simple and Robust JSON Parser and Generator for R
* Maintainer: Jeroen Ooms
* Homepage: https://jeroen.r-universe.dev/jsonlite https://arxiv.org/abs/1403.2805
* Date: 2025-03-27
* Downloads Last Month: 1,438,755
A reasonably fast JSON parser and generator, optimized for statistical
data and the web. Offers simple, flexible tools for working with JSON in R, and
is particularly powerful for building pipelines and interacting with a web API.
The implementation is based on the mapping described in the vignette (Ooms, 2014).
In addition to converting JSON data from/to R objects, 'jsonlite' contains
functions to stream, validate, and prettify JSON data. The unit tests included
with the package verify that all edge cases are encoded and decoded consistently
for use with dynamic data in systems and applications.
### plyr (v1.8.9) -- Tools for Splitting, Applying and Combining Data
* Maintainer: Hadley Wickham
* Homepage: http://had.co.nz/plyr, https://github.com/hadley/plyr
* Date: 2023-10-02
* Downloads Last Month: 439,605
A set of tools that solves a common set of problems: you need
to break a big problem down into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to fit a model to each spatial location or time point in
your study, summarise data by panels or collapse high-dimensional
arrays to simpler summary statistics. The development of 'plyr' has
been generously supported by 'Becton Dickinson'.
### lubridate (v1.9.4) -- Make Dealing with Dates a Little Easier
* Maintainer: Vitalie Spinu
* Homepage: https://lubridate.tidyverse.org, https://github.com/tidyverse/lubridate
* Date: 2024-12-08
* Downloads Last Month: 850,592
Functions to work with date-times and time-spans: fast and
user friendly parsing of date-time data, extraction and updating of
components of a date-time (years, months, days, hours, minutes, and
seconds), algebraic manipulation on date-time and time-span objects.
The 'lubridate' package has a consistent and memorable syntax that
makes working with dates easy and fun.
### robustbase (v0.99.4.1) -- Basic Robust Statistics
* Maintainer: Martin Maechler
* Homepage: https://robustbase.R-forge.R-project.org/, https://R-forge.R-project.org/R/?group_id=59, https://R-forge.R-project.org/scm/viewvc.php/pkg/robustbase/?root=robustbase, svn://svn.r-forge.r-project.org/svnroot/robustbase/pkg/robustbase
* Date: 2024-09-27
* Downloads Last Month: 87,140
"Essential" Robust Statistics.
Tools allowing to analyze data with robust methods. This includes
regression methodology including model selections and multivariate
statistics where we strive to cover the book "Robust Statistics,
Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
### broom (v1.0.8) -- Convert Statistical Objects into Tidy Tibbles
* Maintainer: Simon Couch
* Homepage: https://broom.tidymodels.org/, https://github.com/tidymodels/broom
* Date: 2025-03-28
* Downloads Last Month: 777,154
Summarizes key information about statistical
objects in tidy tibbles. This makes it easy to report results, create
plots and consistently work with large numbers of models at once.
Broom provides three verbs that each provide different types of
information about a model. tidy() summarizes information about model
components such as coefficients of a regression. glance() reports
information about an entire model, such as goodness of fit measures
like AIC and BIC. augment() adds information about individual
observations to a dataset, such as fitted values or influence
measures.
── assistant [105] ───────────────────────────────────────────────────────────────────────────────────────────────────────
Let me try one more search with more specific terms:
[tool request (toolu_01BXbiimuGZas3FteHBsA8k6)]: btw_tool_search_packages(query = "airportr airline data aviation flightaware", and intent = "Finding packages specifically for airline data access and aviation APIs")
── user [1444] ───────────────────────────────────────────────────────────────────────────────────────────────────────────
[tool result (toolu_01BXbiimuGZas3FteHBsA8k6)]:
Found 10000 packages matching `airportr airline data aviation flightaware`, showing 10 results.
### dplyr (v1.1.4) -- A Grammar of Data Manipulation
* Maintainer: Hadley Wickham
* Homepage: https://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr
* Date: 2023-11-17
* Downloads Last Month: 1,647,735
A fast, consistent tool for working with data frame like
objects, both in memory and out of memory.
### ggplot2 (v3.5.2) -- Create Elegant Data Visualisations Using the Grammar of Graphics
* Maintainer: Thomas Lin Pedersen
* Homepage: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
* Date: 2025-04-09
* Downloads Last Month: 1,757,848
A system for 'declaratively' creating graphics, based on "The
Grammar of Graphics". You provide the data, tell 'ggplot2' how to map
variables to aesthetics, what graphical primitives to use, and it
takes care of the details.
### tidyr (v1.3.1) -- Tidy Messy Data
* Maintainer: Hadley Wickham
* Homepage: https://tidyr.tidyverse.org, https://github.com/tidyverse/tidyr
* Date: 2024-01-24
* Downloads Last Month: 1,098,165
Tools to help to create tidy data, where each column is a
variable, each row is an observation, and each cell contains a single
value. 'tidyr' contains tools for changing the shape (pivoting) and
hierarchy (nesting and 'unnesting') of a dataset, turning deeply
nested lists into rectangular data frames ('rectangling'), and
extracting values out of string columns. It also includes tools for
working with missing values (both implicit and explicit).
### tibble (v3.2.1) -- Simple Data Frames
* Maintainer: Kirill Müller
* Homepage: https://tibble.tidyverse.org/, https://github.com/tidyverse/tibble
* Date: 2023-03-20
* Downloads Last Month: 1,299,062
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional
data frame.
### lubridate (v1.9.4) -- Make Dealing with Dates a Little Easier
* Maintainer: Vitalie Spinu
* Homepage: https://lubridate.tidyverse.org, https://github.com/tidyverse/lubridate
* Date: 2024-12-08
* Downloads Last Month: 850,592
Functions to work with date-times and time-spans: fast and
user friendly parsing of date-time data, extraction and updating of
components of a date-time (years, months, days, hours, minutes, and
seconds), algebraic manipulation on date-time and time-span objects.
The 'lubridate' package has a consistent and memorable syntax that
makes working with dates easy and fun.
### nycflights13 (v1.0.2) -- Flights that Departed NYC in 2013
* Maintainer: Hadley Wickham
* Homepage: https://github.com/hadley/nycflights13
* Date: 2021-04-12
* Downloads Last Month: 38,907
Airline on-time data for all flights departing NYC in 2013.
Also includes useful 'metadata' on airlines, airports, weather, and
planes.
### readr (v2.1.5) -- Read Rectangular Text Data
* Maintainer: Jennifer Bryan
* Homepage: https://readr.tidyverse.org, https://github.com/tidyverse/readr
* Date: 2024-01-10
* Downloads Last Month: 898,012
The goal of 'readr' is to provide a fast and friendly way to
read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed
to flexibly parse many types of data found in the wild, while still
cleanly failing when data unexpectedly changes.
### reshape2 (v1.4.4) -- Flexibly Reshape Data: A Reboot of the Reshape Package
* Maintainer: Hadley Wickham
* Homepage: https://github.com/hadley/reshape
* Date: 2020-04-09
* Downloads Last Month: 351,328
Flexibly restructure and aggregate data using just two
functions: melt and 'dcast' (or 'acast').
### airportr (v0.1.3) -- Convenience Tools for Working with Airport Data
* Maintainer: Dmitry Shkolnik
* Homepage: https://github.com/dshkol/airportr
* Date: 2019-10-09
* Downloads Last Month: 363
Retrieves open source airport data and provides tools to look up information, translate names into codes and vice-verse, as well as some basic calculation functions for measuring distances. Data is licensed under the Open Database License.
### plyr (v1.8.9) -- Tools for Splitting, Applying and Combining Data
* Maintainer: Hadley Wickham
* Homepage: http://had.co.nz/plyr, https://github.com/hadley/plyr
* Date: 2023-10-02
* Downloads Last Month: 439,605
A set of tools that solves a common set of problems: you need
to break a big problem down into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to fit a model to each spatial location or time point in
your study, summarise data by panels or collapse high-dimensional
arrays to simpler summary statistics. The development of 'plyr' has
been generously supported by 'Becton Dickinson'.
── assistant [470] ───────────────────────────────────────────────────────────────────────────────────────────────────────
Great! After multiple searches, I've found several R packages that can help you work with U.S. flight data:
### Packages with Built-in Flight Datasets:
1. **nycflights13** - Contains airline on-time data for all flights departing NYC in 2013, along with metadata on airlines, airports, weather, and planes. This is commonly used for teaching data analysis.
2. **igraphdata** - Includes a domestic US flights network dataset as part of its collection of network data.
### Packages for Airport Data and Aviation Information:
3. **airportr** - Provides convenience tools for working with airport data. It retrieves open source airport data and offers tools to look up information, translate airport names into codes and vice-versa, as well as basic calculation functions for measuring distances between airports.
### For Working with APIs and External Flight Data:
While there isn't a dedicated package specifically for accessing real-time FAA or BTS (Bureau of Transportation Statistics) flight data, you could use general-purpose packages like:
- **httr** or **httr2** - For making HTTP requests to aviation APIs
- **jsonlite** - For parsing JSON responses from web APIs
- **tidyverse** packages (dplyr, tidyr, etc.) - For processing the flight data
### Data Sources You Could Access:
1. **Bureau of Transportation Statistics (BTS)** - Offers extensive datasets on U.S. flights
2. **OpenSky Network API** - Provides flight tracking data
3. **FAA APIs** - Various data services provided by the Federal Aviation Administration
4. **FlightAware or FlightStats APIs** - Commercial services with comprehensive flight data (requires paid access)
For current or custom flight data, you would typically need to:
1. Use packages like httr/httr2 to connect to an aviation API
2. Parse the responses with jsonlite
3. Process the data with dplyr, tidyr, etc.
Would you like more specific information about any of these options, or help with setting up a connection to a particular flight data source?
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Created
May 22, 2025 13:15
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