Data Snapshot #33 - Comparing On-Time Performance in the United States and Europe

EUROCONTROL Data Snapshot compares On-Time Performance in the United States and Europe.

Read the article Published October 10, 2022

One-off publication Latest release October 11, 2022

Illustration for Data Snapshot #33 - Comparing On-Time Performance in the United States and Europe

Data and Resources

API

Data (yearly)

API name: data-snapshot-33--data-yearly

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--data-yearly&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-yearly?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-yearly?format=csv')

Data (yearly) (2)

API name: data-snapshot-33--data-yearly-2

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--data-yearly-2&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-yearly-2?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-yearly-2?format=csv')

Data (yearly) (3)

API name: data-snapshot-33--data-yearly-3

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--data-yearly-3&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-yearly-3?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-yearly-3?format=csv')

Data 2022 monthly

API name: data-snapshot-33--data-2022-monthly

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--data-2022-monthly&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-2022-monthly?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-2022-monthly?format=csv')

Data 2022 monthly (2)

API name: data-snapshot-33--data-2022-monthly-2

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--data-2022-monthly-2&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-2022-monthly-2?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-2022-monthly-2?format=csv')

Data 2022 monthly (3)

API name: data-snapshot-33--data-2022-monthly-3

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--data-2022-monthly-3&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-2022-monthly-3?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--data-2022-monthly-3?format=csv')

Delay grouping

API name: data-snapshot-33--delay-grouping

First 5 rows · Download all rows: CSV · TSV · JSON · XML

Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=data-snapshot-33--delay-grouping&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--delay-grouping?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/data-snapshot-33--delay-grouping?format=csv')

API documentation and rate limits

Cite this data

Source: EUROCONTROL Aviation Intelligence Unit. Data Snapshot #33 - Comparing On-Time Performance in the United States and Europe. https://polaris.goens.dev/dataset/data-snapshot-33

May be copied in whole or in part, provided that EUROCONTROL is mentioned as the source and it is not used for commercial purposes. Full disclaimer

Data sources

Contact
aviation.intelligence@eurocontrol.int

The table view shows where each column comes from, under Data Dictionary.

Notes from the source

  • © European Organisation for the Safety of Air Navigation (EUROCONTROL) 2022

Additional Info

Field Value
Update frequency One-off
Time resolution
Data from
Data to
Data description https://www.eurocontrol.int/publication/eurocontrol-data-snapshot-33-comparing-time-performance-united-states-and-europe
Methodology
Source page https://ansperformance.eu/publications/ectl/datasnap/