Data Expo 2009: Airline on time data

Bi-Annual Data Exposition: Every other year, at the Joint Statistical Meetings, the Graphics Section and the Computing Section join in sponsoring a special Poster Session called The Data Exposition , but more commonly known as The Data Expo. All of the papers presented in this Poster Session are reports of analyses of a common data set provided for the occasion. In addition, all papers presented in the session are encouraged to report the use of graphical methods employed during the developme nt of their analysis and to use graphics to convey their findings. Airline on-time performance: Have you ever been stuck in an airport because your flight was delayed or cancelled and wondered if you could have predicted it if you'd had more data? This is your chance to find out. The data: The data consists of flight arrival and departure details for all commercial flights within the USA, from October 1987 to April 2008. This is a large dataset: there are nearly 120 million records in total, and takes up 1.6 gigabytes of space compressed and 12 gigab ytes when uncompressed. The data comes originally from RITA where it is described in detail. You can download the data there, or from the bzipped csv files listed below. These files have derivable variables removed, are packaged in yearly chunks and have been more heavily compressed than the originals. Variable descriptions: Name Description 1 Year 1987-2008 2 Month 1-12 3 DayofMonth 1-31 4 DayOfWeek 1 (Monday) - 7 (Sunday) 5 DepTime actual departure time (local, hhm m) 6 CRSDepTime scheduled departure time (local, hhmm) 7 ArrTime actual arrival time (local, hhmm) 8 CRSArrTime scheduled arrival time (local, hhmm) 9 UniqueCarrier unique carrier code 10 FlightNum flight number 11 TailNum plane tail number 12 ActualElapsedTime in minutes 13 CRSElapsedTime in minutes 14 AirTime in minutes 15 ArrDelay arrival delay, in minutes 16 DepDelay departure delay, in minutes 17 Origin origin IATA airport code 18 Dest des tination IATA airport code 19 Distance in miles 20 TaxiIn taxi in time, in minutes 21 TaxiOut taxi out time in minutes 22 Cancelled was the flight cancelled? 23 CancellationCode reason for cancellation (A = carrier, B = weather, C = NAS, D = security) 24 Diverted 1 = yes, 0 = no 25 CarrierDelay in minutes 26 WeatherDelay in minutes 27 NASDelay in minutes 28 SecurityDelay in minutes 29 LateAircraftDelay in minutes双年度数据博览会（Bi-Annual Data Exposition）：每两年举办一次，在联合统计会议（Joint Statistical Meetings）期间，图形分会（Graphics Section）与计算分会（Computing Section）将联合主办一场特别的海报专场，其正式名称为"数据博览会（The Data Exposition）"，通常也被简称为"数据展（The Data Expo）"。该海报专场的所有提交论文均为针对本次活动预置通用数据集的分析报告。此外，专场所有投稿论文均需报告在分析开发过程中所采用的图形化方法，并通过可视化手段传递研究发现。 航空准点绩效（Airline on-time performance）：你是否曾因航班延误或取消被困机场，畅想若掌握更全面的数据便可提前预判此类状况？现在你将获得这样的实践机会。 数据集说明：本数据集涵盖1987年10月至2008年4月期间美国境内所有商业航班的起降详细信息。该数据集体量庞大，总计包含近1.2亿条记录，压缩后占用1.6吉字节（GB）存储空间，解压后则需12吉字节存储空间。原始数据源自RITA平台，其详细说明已在该平台发布。你可在该平台或下文列出的bzip2压缩CSV文件中下载本数据集。相较于原始文件，本数据集已移除可推导变量，按年度分块打包并采用了更高比例的压缩算法。 变量说明： 1. Year（年份）：取值范围为1987-2008 2. Month（月份）：取值范围为1-12 3. DayofMonth（当月日期）：取值范围为1-31 4. DayOfWeek（星期几）：1代表周一，7代表周日 5. DepTime（实际起飞时间）：本地时间，格式为hhmm 6. CRSDepTime（计划起飞时间）：本地时间，格式为hhmm 7. ArrTime（实际到达时间）：本地时间，格式为hhmm 8. CRSArrTime（计划到达时间）：本地时间，格式为hhmm 9. UniqueCarrier（唯一航空公司代码） 10. FlightNum（航班号） 11. TailNum（飞机尾号） 12. ActualElapsedTime（实际飞行时长）：单位为分钟 13. CRSElapsedTime（计划飞行时长）：单位为分钟 14. AirTime（空中飞行时长）：单位为分钟 15. ArrDelay（到达延误时长）：单位为分钟 16. DepDelay（起飞延误时长）：单位为分钟 17. Origin（起飞机场IATA代码） 18. Dest（目的地机场IATA代码） 19. Distance（飞行距离）：单位为英里 20. TaxiIn（滑行入港时长）：单位为分钟 21. TaxiOut（滑行出港时长）：单位为分钟 22. Cancelled（航班是否取消）：布尔标识 23. CancellationCode（取消原因代码）：A=航空公司原因，B=天气原因，C=美国国家航空系统（NAS）原因，D=安保原因 24. Diverted（航班是否备降）：1代表是，0代表否 25. CarrierDelay（航空公司延误时长）：单位为分钟 26. WeatherDelay（天气延误时长）：单位为分钟 27. NASDelay（美国国家航空系统延误时长）：单位为分钟 28. SecurityDelay（安保延误时长）：单位为分钟 29. LateAircraftDelay（航班晚点延误时长）：单位为分钟