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机场

机场

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Business,Demographics Classification

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    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context Airports from https://openflights.org Content Airport ID Unique OpenFlights identifier for this airport. Name Name of airport. May or may not contain the City name. City Main city served by airport. May be spelled differently from Name. Country Country or territory where airport is located. See countries.dat to cross-reference to ISO 3166-1 codes. IATA 3-letter IATA code. Null if not assigned/unknown. ICAO 4-letter ICAO code. Null if not assigned. Latitude Decimal degrees, usually to six significant digits. Negative is South, positive is North. Longitude Decimal degrees, usually to six significant digits. Negative is West, positive is East. Altitude In feet. Timezone Hours offset from UTC. Fractional hours are expressed as decimals, eg. India is 5.5. DST Daylight savings time. One of E (Europe), A (US/Canada), S (South America), O (Australia), Z (New Zealand), N (None) or U (Unknown). See also: Help: Time Tz database time zone Timezone in "tz" (Olson) format, eg. "America/Los_Angeles". Type Type of the airport. Value "airport" for air terminals, "station" for train stations, "port" for ferry terminals and "unknown" if not known. In airports.csv, only type=airport is included. Source Source of this data. "OurAirports" for data sourced from OurAirports, "Legacy" for old data not matched to OurAirports (mostly DAFIF), "User" for unverified user contributions. In airports.csv, only source=OurAirports is included. The data is UTF-8 (Unicode) encoded. Note: Rules for daylight savings time change from year to year and from country to country. The current data is an approximation for 2009, built on a country level. Most airports in DST-less regions in countries that generally observe DST (eg. AL, HI in the USA, NT, QL in Australia, parts of Canada) are marked incorrectly. Acknowledgements https://openflights.org Inspiration I imported this data set to be able to perform analytics on Airport data combined with other large data sets.
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