OAG: Global Airline Schedules (Sample)
收藏Snowflake2021-04-26 更新2024-05-01 收录
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https://app.snowflake.com/marketplace/listing/GZ1M7Z2MQ39
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资源简介:
With over 200,000+ flight schedule changes every day, securing a reliable data source is critical to businesses managing flight booking availability and operations.
OAG provides the most accurate airline schedules database on the market, providing access to commercial airline schedules from over 900 airlines, aircraft configurations, minimum connection times, flight schedule changes, seating and cabin capacity and more.
This is a sample data set for evaluation use only. If you'd like to extend your trial, get access to more data or discuss available purchasing options, please visit this page: https://www.oag.com/extend-marketplace-trial.
About the Sample Data:
- 900+ carriers
- Global Geographical Coverage
- Sample includes all global departures on 5th Jan 2023
- Configurable by; Carrier, Region, Combinations (e.g. all carriers in US)
Key Data Fields:
– IATA & ICAO Carrier Codes
– Flight Number and Date
– IATA Codes for Departure/Arrival Airport
– Aircraft Type
– Seats (predicted and actual by cabin and total)
– Distance in Nautical Miles Between Airports
If you would like to extend your trial, get access to more data or discuss available purchasing options, please visit this page: https://www.oag.com/extend-marketplace-trial
每日全球航班调度变更超20万次,对于需管控航班预订可用性与运营业务的企业而言,获取可靠的数据源至关重要。
OAG提供了市场上精度最高的航空班期数据库,可访问来自900余家航司的商业航班时刻表、飞机构型、最短衔接时长、航班调度变更信息、座位及客舱容量等多类数据。
本数据集仅为用于评估的样本数据。若您希望延长试用期限、获取更多数据或讨论可购买的授权方案,请访问此页面:https://www.oag.com/extend-marketplace-trial
样本数据说明:
- 覆盖900余家航司
- 全球地理覆盖范围
- 样本包含2023年1月5日的全部全球出港航班
- 支持按航司、地区、组合条件(例如美国境内所有航司)进行配置
核心数据字段:
– 国际航空运输协会(IATA)与国际民航组织(ICAO)航司代码
– 航班号与航班日期
– 出发/到达机场的IATA代码
– 飞机机型
– 座位数(按客舱分类及总座位数的预测值与实际值)
– 机场间的海里距离
若您希望延长试用期限、获取更多数据或讨论可购买的授权方案,请访问此页面:https://www.oag.com/extend-marketplace-trial
提供机构:
OAG
创建时间:
2021-04-08
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是OAG提供的全球航空公司时刻表样本,涵盖2023年1月5日900多家航空公司的全球航班数据,包含航班号、起降机场、机型及座位数等关键字段。作为评估用途的样本数据,用户可通过指定链接申请扩展试用或购买完整数据。
以上内容由遇见数据集搜集并总结生成



