flights

Sample of on-time data for all flights that departed NYC (i.e. JFK, LGA or EWR) in 2013.

datasets

A collection of tools that support data diagnosis, exploration, and transformation.
Data diagnostics provides information and visualization of missing values, outliers, and unique
and negative values to help you understand the distribution and quality of your data.
Data exploration provides information and visualization of the descriptive statistics of
univariate variables, normality tests and outliers, correlation of two variables,
and the relationship between the target variable and predictor. Data transformation supports binning
for categorizing continuous variables, imputes missing values and outliers, and resolves skewness.
And it creates automated reports that support these three tasks.

Choonghyun Ryu

dlookr

Tools for Data Diagnosis, Exploration, Transformation

flights function

A data frame with 3000 rows and 19 variables. The variables are as follows:<dl>
 <dt>year, month, day</dt>
<dd>Date of departure.</dd> <dt>dep_time, arr_time</dt>
<dd>Actual departure and arrival times (format HHMM or HMM), local tz.</dd> <dt>sched_dep_time, sched_arr_time</dt>
<dd>Scheduled departure and arrival times (format HHMM or HMM), local tz.</dd> <dt>dep_delay, arr_delay</dt>
<dd>Departure and arrival delays, in minutes. Negative times represent early departures/arrivals.</dd> <dt>carrier</dt>
<dd>Two letter carrier abbreviation. See airlines to get name.</dd> <dt>flight</dt>
<dd>Flight number.</dd> <dt>tailnum</dt>
<dd>Plane tail number. See planes for additional metadata.</dd> <dt>origin, dest</dt>
<dd>Origin and destination.</dd> <dt>air_time</dt>
<dd>Amount of time spent in the air, in minutes.</dd> <dt>distance</dt>
<dd>Distance between airports, in miles.</dd> <dt>hour, minute</dt>
<dd>Time of scheduled departure broken into hour and minutes.</dd> <dt>time_hour</dt>
<dd>Scheduled date and hour of the flight as a POSIXct date.</dd>
</dl>

Format

Flights data — flights

A data frame with 3000 rows and 19 variables. The variables are as follows:<dl>
 <dt>year, month, day</dt>
<dd>Date of departure.</dd>

 <dt>dep_time, arr_time</dt>
<dd>Actual departure and arrival times (format HHMM or HMM), local tz.</dd>

 <dt>sched_dep_time, sched_arr_time</dt>
<dd>Scheduled departure and arrival times (format HHMM or HMM), local tz.</dd>

 <dt>dep_delay, arr_delay</dt>
<dd>Departure and arrival delays, in minutes. Negative times represent early departures/arrivals.</dd>

 <dt>carrier</dt>
<dd>Two letter carrier abbreviation. See airlines to get name.</dd>

 <dt>flight</dt>
<dd>Flight number.</dd>

 <dt>tailnum</dt>
<dd>Plane tail number. See planes for additional metadata.</dd>

 <dt>origin, dest</dt>
<dd>Origin and destination.</dd>

 <dt>air_time</dt>
<dd>Amount of time spent in the air, in minutes.</dd>

 <dt>distance</dt>
<dd>Distance between airports, in miles.</dd>

 <dt>hour, minute</dt>
<dd>Time of scheduled departure broken into hour and minutes.</dd>

 <dt>time_hour</dt>
<dd>Scheduled date and hour of the flight as a POSIXct date.</dd>


</dl>

flights: Flights data

Description

Usage

Arguments

Format