U.S Civil Flight Open Data Model 2023
收藏资源简介：
ABOUT THE DATASET: The dataset by GetOurData provides information on civil flights in the United States during the year 2023. It includes details such as flight date, day of the week, airline, tail number, departure and arrival airport, departure and arrival delays, flight duration, and various delay types. PURPOSE: The purpose of this dataset is to offer insights into the performance of civil flights in the United States in 2023 and the meteorological conditions affecting them. By combining flight data with weather information, the dataset aims to facilitate analysis of flight delays and their correlation with weather patterns. USE CASES: Flight Delay Analysis: Aviation analysts and researchers can utilize the dataset to analyze flight delays and identify patterns and trends associated with different delay types, such as carrier delays, weather delays, and air traffic delays. Weather Impact Assessment: Meteorologists and climate scientists can use the dataset to study the impact of weather conditions, such as rain, snow, temperature, wind speed, and pressure, on flight operations and performance. Strategic Planning: Airline operators and airport authorities can leverage insights from the dataset to optimize flight schedules, improve operational efficiency, and mitigate the impact of adverse weather conditions on flight operations. EXAMPLE TABLES: Delay Information (US_2023_DELAY_INFO) Weather Conditions (US_2023_WEATHER) EXAMPLE FIELDS: Flight Date Day of the Week Airline Tail Number Departure Airport Arrival Airport Delay Types Weather Conditions (Rain, Snow, Temperature Min/Max/Avg, Wind Speed, Pressure)
数据集概述： 本数据集由GetOurData出品，涵盖2023年美国境内民用航班的相关信息。其包含的详细信息涵盖航班日期、星期几、航空公司、飞机尾号（Tail Number）、起飞机场、降落机场、出港与进港延误情况、航班飞行时长以及各类延误类型。 数据集用途： 本数据集旨在为分析2023年美国民用航班运行表现及其受气象条件影响的情况提供参考依据。本数据集将航班数据与气象信息相结合，助力开展航班延误情况及其与天气模式关联的分析研究。 适用场景： 航班延误分析： 航空分析师与研究人员可借助本数据集开展航班延误分析，识别不同延误类型（如航空公司责任延误、天气延误、空中交通延误）相关的规律与趋势。 气象影响评估： 气象学家与气候科学家可利用本数据集，研究降雨、降雪、气温、风速、气压等气象条件对航班运行及表现的影响。 战略规划： 航空公司运营商与机场管理方可以依托本数据集的分析结论，优化航班排班计划、提升运行效率，并缓解恶劣气象条件对航班运行的负面影响。 示例数据表： 延误信息表（US_2023_DELAY_INFO） 气象状况表（US_2023_WEATHER） 示例字段： 航班日期 星期几 航空公司 飞机尾号 起飞机场 降落机场 延误类型 气象状况（降雨、降雪、气温最低/最高/平均值、风速、气压）
