sfo (version 0.1.0)

sfo_passengers: SFO Airport Air Traffic Passenger Statistics

Description

Monthly summary of number of passengers in San Francisco International Airport (SFO)

Usage

sfo_passengers

Format

A data frame with 12 variables.

activity_period

Activity year and month in YYYYMM format

operating_airline

Airline name for the operator of aircraft

operating_airline_iata_code

The International Air Transport Association (IATA) two-letter designation for the Operating Airline

published_airline

Airline name that issues the ticket and books revenue for passenger activity

published_airline_iata_code

The International Air Transport Association (IATA) two-letter designation for the Published Airline

geo_summary

Designates whether the passenger activity in relation to SFO arrived from or departed to a location within the United States (<U+201C>domestic<U+201D>), or outside the United States (<U+201C>international<U+201D>) without stops

geo_region

Provides a more detailed breakdown of the GEO Summary field to designate the region in the world where activity in relation to SFO arrived from or departed to without stops

activity_type_code

A description of the physical action a passenger took in relation to a flight, which includes boarding a flight (<U+201C>enplanements<U+201D>), getting off a flight (<U+201C>deplanements<U+201D>) and transiting to another location (<U+201C>intransit<U+201D>)

price_category_code

A categorization of whether a Published Airline is a low-cost carrier or not a low-cost carrier

terminal

The airport terminal designations at SFO where passenger activity took place

boarding_area

The airport boarding area designations at SFO where passenger activity took place

passenger_count

The number of monthly passengers associated with the above attribute fields

Details

The dataset contains the monthly summary of number of passengers in San Francisco International Airport (SFO)

Examples

# NOT RUN {
data(sfo_passengers)

require(dplyr)

# Get summary of total number of passengers by activity type
# in most recent month
sfo_passengers %>%
  filter(activity_period == max(activity_period)) %>%
  group_by(activity_type_code) %>%
  summarise(total = sum(passenger_count), .groups = "drop")

# Get summary of total number of passengers by
# activity type and geo region in most recent month
sfo_passengers %>%
filter(activity_period == max(activity_period)) %>%
  group_by(activity_type_code, geo_region) %>%
  summarise(total = sum(passenger_count), .groups = "drop")

# }