nycflights13: Flights that Departed NYC in 2013

Canonical link: https://rscholar.com/pkg/nycflights13

Hadley Wickham • RStudio • View description and downloads View dependencies GitHub project

2014 Published

1.0.2 Version

0 Citations

2 Authors

Referenced by ⇅	Year
cattonum: Encode Categorical Features (Version 0.0.5)	2018
DataExplorer: Automate Data Exploration and Treatment (Version 0.8.3)	2016
anyflights: Query 'nycflights13'-Like Air Travel Data for Given Years and Airports (Version 0.3.4)	2018
arkdb: Archive and Unarchive Databases Using Flat Files (Version 0.0.18)	2018
biclustermd: Biclustering with Missing Data (Version 0.2.3)	2019
dados: Translate Datasets to Portuguese (Version 0.1.0)	2022
dat: Tools for Data Manipulation (Version 0.5.0)	2017
datos: Traduce al Español Varios Conjuntos de Datos de Práctica (Version 0.5.1)	2019
dbplyr: A 'dplyr' Back End for Databases (Version 2.5.0)	2017
disk.frame: Larger-than-RAM Disk-Based Data Manipulation Framework (Version 0.8.3)	2019
dittodb: A Test Environment for Database Requests (Version 0.1.8)	2020
dm: Relational Data Models (Version 1.0.11)	2020
dplyr: A Grammar of Data Manipulation (Version 1.1.4)	2014
dplyrAssist: RStudio Addin for Teaching and Learning Data Manipulation Using 'dplyr' (Version 0.1.0)	2017
easyalluvial: Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)	2018
fastplyr: Fast Alternatives to 'tidyverse' Functions (Version 0.5.0)	2024
ggmulti: High Dimensional Data Visualization (Version 1.0.7)	2021
hdf5r: Interface to the 'HDF5' Binary Data Format (Version 1.3.11)	2017
headliner: Compose Sentences to Describe Comparisons (Version 0.0.3)	2022
heddlr: Dynamic R Markdown Document Generation (Version 0.6.0)	2020
hutils: Miscellaneous R Functions and Aliases (Version 1.8.1)	2017
implyr: R Interface for Apache Impala (Version 0.5.0)	2017
infer: Tidy Statistical Inference (Version 1.0.7)	2018
inops: Infix Operators for Detection, Subsetting and Replacement (Version 0.0.1)	2019
labelr: Label Data Frames, Variables, and Values (Version 0.1.9)	2024
loon.ggplot: A Grammar of Interactive Graphics (Version 1.3.4)	2020
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.24.0)	2021
mdsr: Complement to 'Modern Data Science with R' (Version 0.2.8)	2016
modeldb: Fits Models Inside the Database (Version 0.3.0)	2018
moderndive: Tidyverse-Friendly Introductory Linear Regression (Version 0.7.0)	2018
mongolite: Fast and Simple 'MongoDB' Client for R (Version 2.8.2)	2015
mongopipe: Query MongoDB Documents with R (Version 0.1.1)	2021
multidplyr: A Multi-Process 'dplyr' Backend (Version 0.1.3)	2021
pillar: Coloured Formatting for Columns (Version 1.10.0)	2017
prqlr: R Bindings for the 'prqlc' Rust Library (Version 0.9.0)	2023
prt: Tabular Data Backed by Partitioned 'fst' Files (Version 0.2.0)	2020
r4ds.tutorials: Tutorials for "R for Data Science" (Version 0.3.0)	2023
raw: R Actuarial Workshops (Version 0.1.8)	2016
rdflib: Tools to Manipulate and Query Semantic Data (Version 0.2.9)	2018
rsolr: R to Solr Interface (Version 0.0.13)	2017
sparklyr: R Interface to Apache Spark (Version 1.8.6)	2016
tibble: Simple Data Frames (Version 3.2.1)	2016
tidyfst: Tidy Verbs for Fast Data Manipulation (Version 1.8.1)	2020
tidylog: Logging for 'dplyr' and 'tidyr' Functions (Version 1.1.0)	2019
tidypredict: Run Predictions Inside the Database (Version 0.5.1)	2018
tidyquery: Query 'R' Data Frames with 'SQL' (Version 0.2.4)	2019
tiledb: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays (Version 0.30.2)	2020
timeplyr: Fast Tidy Tools for Date and Date-Time Manipulation (Version 0.8.2)	2023
tsbox: Class-Agnostic Time Series (Version 0.4.2)	2018
tsibble: Tidy Temporal Data Frames and Tools (Version 1.1.5)	2018
virtuoso: Interface to 'Virtuoso' using 'ODBC' (Version 0.1.8)	2019
writexl: Export Data Frames to Excel 'xlsx' Format (Version 1.5.1)	2017

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.