Name | DL | Torrents | Total Size | Joe's Recommended Mirror List [edit] | 233 | 8.28TB | 1878 | 0 | I [edit] | 20 | 171.79GB | 153 | 0 | Spatial Datasets [edit] | 33 | 859.23GB | 120 | 0 |
icsdata-d35-million-us-domestic-flights-from-1990-to-2009_20100803170854-tsv.zip | 35.40MB |
Type: Dataset
Tags: Dataset
Bibtex:
Tags: Dataset
Bibtex:
@article{, title= {US domestic flights from 1990 to 2009}, journal= {}, author= {US Census Bureau}, year= {2009}, url= {http://www.infochimps.com/datasets/35-million-us-domestic-flights-from-1990-to-2009}, abstract= {Over 3.5 million monthly domestic flight records from 1990 to 2009. Data are arranged as an adjacency list with metadata. Ready for immediate database import and analysis. ##Fields: |Short name| Type |Description| |-|-|-| |Origin |String |Three letter airport code of the origin airport| |Destination |String| Three letter airport code of the destination airport| |Origin City |String| Origin city name| |Destination City |String |Destination city name| |Passengers |Integer| Number of passengers transported from origin to destination| |Seats |Integer| Number of seats available on flights from origin to destination| |Flights |Integer |Number of flights between origin and destination (multiple records for one month, many with flights > 1)| |Distance |Integer| Distance (to nearest mile) flown between origin and destination| |Fly Date |Integer| The date (yyyymm) of flight| |Origin Population| Integer| Origin city's population as reported by US Census| |Destination Population| Integer| Destination city's population as reported by US Census| ##Snippet: MFR RDM Medford, OR Bend, OR 0 0 1 156 200810 200298 157730 AMA EKO Amarillo, TX Elko, NV 124 124 1 858 199308 202960 40259 TUS EKO Tucson, AZ Elko, NV 112 124 1 658 199308 711392 40259 AMA EKO Amarillo, TX Elko, NV 115 124 1 858 199406 206315 41668 ICT EKO Wichita, KS Elko, NV 100 124 1 1007 199607 552884 45034 SPS EKO Wichita Falls, TX Elko, NV 122 124 1 1059 199603 147683 45034 ##Source(s) 1. US Census Bureau 2. RITA/Transtats, Bureau of Transportation Statistics}, keywords= {Dataset}, terms= {} }