Time spans and time zones.
Please answer the following two questions. I will call on someone randomly after the timer is up.
00:30
Subtraction of two Date vectors -> difftime vector.
[1] "difftime"
A difftime can be recorded in many different units, so better to use lubridate::as.duration() to always record it in seconds.
Duration
In lubridate, a time span with a fixed length in seconds. It tracks physical time, so it ignores irregularities in the calendar like daylight saving time and leap years.
Make one by coercing a difftime with as.duration() or with a constructor function:
[1] "2026-03-08 01:00:00 EST"
Daylight savings time!
Please answer the following two questions. I will call on someone randomly after the timer is up.
00:30
Period
In lubridate, a time span that is like a duration except it doesn’t have a fixed length in seconds. It tracks human units (day, week) that are responsive to irregularities.
Example period constructors:
In a year?
[1] "1377907200s (~43.66 years)"
[1] "1409464800s (~44.66 years)"
Interval
In lubridate, a time span with a specific start and end. Because it knows where it starts, it can be measured in seconds or in calendar units.
difftime: inconsistent unitsduration: fixed span in secondsperiod: variable span in human unitsinterval: span with a start and an end
Sketch one data frame indicating the rows and cols (and their type) to make this plot in ggplot2.
Sketch two data frames that represent the original raw data as it likely is recorded by the Kyoto transit authority and the New York transit authority.
04:00
UTC
Coordinated Universal Time (UTC) is the primary global time standard. Successor to GMT.
Offsets: each time zone has a particular offset from UTC.
[1] "Africa/Abidjan" "Africa/Accra"
[3] "Africa/Addis_Ababa" "Africa/Algiers"
[5] "Africa/Asmara" "Africa/Bamako"
[7] "Africa/Bangui" "Africa/Banjul"
[9] "Africa/Bissau" "Africa/Blantyre"
[11] "Africa/Brazzaville" "Africa/Bujumbura"
[13] "Africa/Cairo" "Africa/Casablanca"
[15] "Africa/Ceuta" "Africa/Conakry"
[17] "Africa/Dakar" "Africa/Dar_es_Salaam"
[19] "Africa/Djibouti" "Africa/Douala"
[21] "Africa/El_Aaiun" "Africa/Freetown"
[23] "Africa/Gaborone" "Africa/Harare"
[25] "Africa/Johannesburg" "Africa/Juba"
[27] "Africa/Kampala" "Africa/Khartoum"
[29] "Africa/Kigali" "Africa/Kinshasa"
[31] "Africa/Lagos" "Africa/Libreville"
[33] "Africa/Lome" "Africa/Luanda"
[35] "Africa/Lubumbashi" "Africa/Lusaka"
[37] "Africa/Malabo" "Africa/Maputo"
[39] "Africa/Maseru" "Africa/Mbabane"
[41] "Africa/Mogadishu" "Africa/Monrovia"
[43] "Africa/Nairobi" "Africa/Ndjamena"
[45] "Africa/Niamey" "Africa/Nouakchott"
[47] "Africa/Ouagadougou" "Africa/Porto-Novo"
[49] "Africa/Sao_Tome" "Africa/Timbuktu"
[51] "Africa/Tripoli" "Africa/Tunis"
[53] "Africa/Windhoek" "America/Adak"
[55] "America/Anchorage" "America/Anguilla"
[57] "America/Antigua" "America/Araguaina"
[59] "America/Argentina/Buenos_Aires" "America/Argentina/Catamarca"
[61] "America/Argentina/Cordoba" "America/Argentina/Jujuy"
[63] "America/Argentina/La_Rioja" "America/Argentina/Mendoza"
[65] "America/Argentina/Rio_Gallegos" "America/Argentina/Salta"
[67] "America/Argentina/San_Juan" "America/Argentina/San_Luis"
[69] "America/Argentina/Tucuman" "America/Argentina/Ushuaia"
[71] "America/Aruba" "America/Asuncion"
[73] "America/Atikokan" "America/Atka"
[75] "America/Bahia" "America/Bahia_Banderas"
[77] "America/Barbados" "America/Belem"
[79] "America/Belize" "America/Blanc-Sablon"
[81] "America/Boa_Vista" "America/Bogota"
[83] "America/Boise" "America/Cambridge_Bay"
[85] "America/Campo_Grande" "America/Cancun"
[87] "America/Caracas" "America/Cayenne"
[89] "America/Cayman" "America/Chicago"
[91] "America/Chihuahua" "America/Ciudad_Juarez"
[93] "America/Coral_Harbour" "America/Costa_Rica"
[95] "America/Coyhaique" "America/Creston"
[97] "America/Cuiaba" "America/Curacao"
[99] "America/Danmarkshavn" "America/Dawson"
[101] "America/Dawson_Creek" "America/Denver"
[103] "America/Detroit" "America/Dominica"
[105] "America/Edmonton" "America/Eirunepe"
[107] "America/El_Salvador" "America/Ensenada"
[109] "America/Fort_Nelson" "America/Fortaleza"
[111] "America/Glace_Bay" "America/Goose_Bay"
[113] "America/Grand_Turk" "America/Grenada"
[115] "America/Guadeloupe" "America/Guatemala"
[117] "America/Guayaquil" "America/Guyana"
[119] "America/Halifax" "America/Havana"
[121] "America/Hermosillo" "America/Indiana/Indianapolis"
[123] "America/Indiana/Knox" "America/Indiana/Marengo"
[125] "America/Indiana/Petersburg" "America/Indiana/Tell_City"
[127] "America/Indiana/Vevay" "America/Indiana/Vincennes"
[129] "America/Indiana/Winamac" "America/Inuvik"
[131] "America/Iqaluit" "America/Jamaica"
[133] "America/Juneau" "America/Kentucky/Louisville"
[135] "America/Kentucky/Monticello" "America/Kralendijk"
[137] "America/La_Paz" "America/Lima"
[139] "America/Los_Angeles" "America/Lower_Princes"
[141] "America/Maceio" "America/Managua"
[143] "America/Manaus" "America/Marigot"
[145] "America/Martinique" "America/Matamoros"
[147] "America/Mazatlan" "America/Menominee"
[149] "America/Merida" "America/Metlakatla"
[151] "America/Mexico_City" "America/Miquelon"
[153] "America/Moncton" "America/Monterrey"
[155] "America/Montevideo" "America/Montreal"
[157] "America/Montserrat" "America/Nassau"
[159] "America/New_York" "America/Nipigon"
[161] "America/Nome" "America/Noronha"
[163] "America/North_Dakota/Beulah" "America/North_Dakota/Center"
[165] "America/North_Dakota/New_Salem" "America/Nuuk"
[167] "America/Ojinaga" "America/Panama"
[169] "America/Pangnirtung" "America/Paramaribo"
[171] "America/Phoenix" "America/Port_of_Spain"
[173] "America/Port-au-Prince" "America/Porto_Acre"
[175] "America/Porto_Velho" "America/Puerto_Rico"
[177] "America/Punta_Arenas" "America/Rainy_River"
[179] "America/Rankin_Inlet" "America/Recife"
[181] "America/Regina" "America/Resolute"
[183] "America/Rio_Branco" "America/Santa_Isabel"
[185] "America/Santarem" "America/Santiago"
[187] "America/Santo_Domingo" "America/Sao_Paulo"
[189] "America/Scoresbysund" "America/Shiprock"
[191] "America/Sitka" "America/St_Barthelemy"
[193] "America/St_Johns" "America/St_Kitts"
[195] "America/St_Lucia" "America/St_Thomas"
[197] "America/St_Vincent" "America/Swift_Current"
[199] "America/Tegucigalpa" "America/Thule"
[201] "America/Thunder_Bay" "America/Tijuana"
[203] "America/Toronto" "America/Tortola"
[205] "America/Vancouver" "America/Virgin"
[207] "America/Whitehorse" "America/Winnipeg"
[209] "America/Yakutat" "America/Yellowknife"
[211] "Antarctica/Casey" "Antarctica/Davis"
[213] "Antarctica/DumontDUrville" "Antarctica/Macquarie"
[215] "Antarctica/Mawson" "Antarctica/McMurdo"
[217] "Antarctica/Palmer" "Antarctica/Rothera"
[219] "Antarctica/Syowa" "Antarctica/Troll"
[221] "Antarctica/Vostok" "Arctic/Longyearbyen"
[223] "Asia/Aden" "Asia/Almaty"
[225] "Asia/Amman" "Asia/Anadyr"
[227] "Asia/Aqtau" "Asia/Aqtobe"
[229] "Asia/Ashgabat" "Asia/Atyrau"
[231] "Asia/Baghdad" "Asia/Bahrain"
[233] "Asia/Baku" "Asia/Bangkok"
[235] "Asia/Barnaul" "Asia/Beirut"
[237] "Asia/Bishkek" "Asia/Brunei"
[239] "Asia/Chita" "Asia/Choibalsan"
[241] "Asia/Chongqing" "Asia/Colombo"
[243] "Asia/Damascus" "Asia/Dhaka"
[245] "Asia/Dili" "Asia/Dubai"
[247] "Asia/Dushanbe" "Asia/Famagusta"
[249] "Asia/Gaza" "Asia/Harbin"
[251] "Asia/Hebron" "Asia/Ho_Chi_Minh"
[253] "Asia/Hong_Kong" "Asia/Hovd"
[255] "Asia/Irkutsk" "Asia/Istanbul"
[257] "Asia/Jakarta" "Asia/Jayapura"
[259] "Asia/Jerusalem" "Asia/Kabul"
[261] "Asia/Kamchatka" "Asia/Karachi"
[263] "Asia/Kashgar" "Asia/Kathmandu"
[265] "Asia/Khandyga" "Asia/Kolkata"
[267] "Asia/Krasnoyarsk" "Asia/Kuala_Lumpur"
[269] "Asia/Kuching" "Asia/Kuwait"
[271] "Asia/Macau" "Asia/Magadan"
[273] "Asia/Makassar" "Asia/Manila"
[275] "Asia/Muscat" "Asia/Nicosia"
[277] "Asia/Novokuznetsk" "Asia/Novosibirsk"
[279] "Asia/Omsk" "Asia/Oral"
[281] "Asia/Phnom_Penh" "Asia/Pontianak"
[283] "Asia/Pyongyang" "Asia/Qatar"
[285] "Asia/Qostanay" "Asia/Qyzylorda"
[287] "Asia/Riyadh" "Asia/Sakhalin"
[289] "Asia/Samarkand" "Asia/Seoul"
[291] "Asia/Shanghai" "Asia/Singapore"
[293] "Asia/Srednekolymsk" "Asia/Taipei"
[295] "Asia/Tashkent" "Asia/Tbilisi"
[297] "Asia/Tehran" "Asia/Tel_Aviv"
[299] "Asia/Thimphu" "Asia/Tokyo"
[301] "Asia/Tomsk" "Asia/Ulaanbaatar"
[303] "Asia/Urumqi" "Asia/Ust-Nera"
[305] "Asia/Vientiane" "Asia/Vladivostok"
[307] "Asia/Yakutsk" "Asia/Yangon"
[309] "Asia/Yekaterinburg" "Asia/Yerevan"
[311] "Atlantic/Azores" "Atlantic/Bermuda"
[313] "Atlantic/Canary" "Atlantic/Cape_Verde"
[315] "Atlantic/Faroe" "Atlantic/Jan_Mayen"
[317] "Atlantic/Madeira" "Atlantic/Reykjavik"
[319] "Atlantic/South_Georgia" "Atlantic/St_Helena"
[321] "Atlantic/Stanley" "Australia/Adelaide"
[323] "Australia/Brisbane" "Australia/Broken_Hill"
[325] "Australia/Canberra" "Australia/Currie"
[327] "Australia/Darwin" "Australia/Eucla"
[329] "Australia/Hobart" "Australia/Lindeman"
[331] "Australia/Lord_Howe" "Australia/Melbourne"
[333] "Australia/Perth" "Australia/Sydney"
[335] "Australia/Yancowinna" "CET"
[337] "CST6CDT" "EET"
[339] "EST" "EST5EDT"
[341] "Etc/GMT" "Etc/GMT-0"
[343] "Etc/GMT-1" "Etc/GMT-10"
[345] "Etc/GMT-11" "Etc/GMT-12"
[347] "Etc/GMT-13" "Etc/GMT-14"
[349] "Etc/GMT-2" "Etc/GMT-3"
[351] "Etc/GMT-4" "Etc/GMT-5"
[353] "Etc/GMT-6" "Etc/GMT-7"
[355] "Etc/GMT-8" "Etc/GMT-9"
[357] "Etc/GMT+0" "Etc/GMT+1"
[359] "Etc/GMT+10" "Etc/GMT+11"
[361] "Etc/GMT+12" "Etc/GMT+2"
[363] "Etc/GMT+3" "Etc/GMT+4"
[365] "Etc/GMT+5" "Etc/GMT+6"
[367] "Etc/GMT+7" "Etc/GMT+8"
[369] "Etc/GMT+9" "Etc/GMT0"
[371] "Etc/Greenwich" "Etc/UCT"
[373] "Etc/Universal" "Etc/UTC"
[375] "Etc/Zulu" "Europe/Amsterdam"
[377] "Europe/Andorra" "Europe/Astrakhan"
[379] "Europe/Athens" "Europe/Belfast"
[381] "Europe/Belgrade" "Europe/Berlin"
[383] "Europe/Bratislava" "Europe/Brussels"
[385] "Europe/Bucharest" "Europe/Budapest"
[387] "Europe/Busingen" "Europe/Chisinau"
[389] "Europe/Copenhagen" "Europe/Dublin"
[391] "Europe/Gibraltar" "Europe/Guernsey"
[393] "Europe/Helsinki" "Europe/Isle_of_Man"
[395] "Europe/Istanbul" "Europe/Jersey"
[397] "Europe/Kaliningrad" "Europe/Kirov"
[399] "Europe/Kyiv" "Europe/Lisbon"
[401] "Europe/Ljubljana" "Europe/London"
[403] "Europe/Luxembourg" "Europe/Madrid"
[405] "Europe/Malta" "Europe/Mariehamn"
[407] "Europe/Minsk" "Europe/Monaco"
[409] "Europe/Moscow" "Europe/Nicosia"
[411] "Europe/Oslo" "Europe/Paris"
[413] "Europe/Podgorica" "Europe/Prague"
[415] "Europe/Riga" "Europe/Rome"
[417] "Europe/Samara" "Europe/San_Marino"
[419] "Europe/Sarajevo" "Europe/Saratov"
[421] "Europe/Simferopol" "Europe/Skopje"
[423] "Europe/Sofia" "Europe/Stockholm"
[425] "Europe/Tallinn" "Europe/Tirane"
[427] "Europe/Tiraspol" "Europe/Ulyanovsk"
[429] "Europe/Vaduz" "Europe/Vatican"
[431] "Europe/Vienna" "Europe/Vilnius"
[433] "Europe/Volgograd" "Europe/Warsaw"
[435] "Europe/Zagreb" "Europe/Zurich"
[437] "Factory" "GMT"
[439] "HST" "Indian/Antananarivo"
[441] "Indian/Chagos" "Indian/Christmas"
[443] "Indian/Cocos" "Indian/Comoro"
[445] "Indian/Kerguelen" "Indian/Mahe"
[447] "Indian/Maldives" "Indian/Mauritius"
[449] "Indian/Mayotte" "Indian/Reunion"
[451] "MET" "MST"
[453] "MST7MDT" "Pacific/Apia"
[455] "Pacific/Auckland" "Pacific/Bougainville"
[457] "Pacific/Chatham" "Pacific/Chuuk"
[459] "Pacific/Easter" "Pacific/Efate"
[461] "Pacific/Fakaofo" "Pacific/Fiji"
[463] "Pacific/Funafuti" "Pacific/Galapagos"
[465] "Pacific/Gambier" "Pacific/Guadalcanal"
[467] "Pacific/Guam" "Pacific/Honolulu"
[469] "Pacific/Johnston" "Pacific/Kanton"
[471] "Pacific/Kiritimati" "Pacific/Kosrae"
[473] "Pacific/Kwajalein" "Pacific/Majuro"
[475] "Pacific/Marquesas" "Pacific/Midway"
[477] "Pacific/Nauru" "Pacific/Niue"
[479] "Pacific/Norfolk" "Pacific/Noumea"
[481] "Pacific/Pago_Pago" "Pacific/Palau"
[483] "Pacific/Pitcairn" "Pacific/Pohnpei"
[485] "Pacific/Port_Moresby" "Pacific/Rarotonga"
[487] "Pacific/Saipan" "Pacific/Samoa"
[489] "Pacific/Tahiti" "Pacific/Tarawa"
[491] "Pacific/Tongatapu" "Pacific/Wake"
[493] "Pacific/Wallis" "Pacific/Yap"
[495] "PST8PDT" "UTC"
[497] "WET"
attr(,"Version")
[1] "2026c"
Two flavors:
Change the instant in time.
[1] "2024-06-01 12:00:00 EDT"
Time zones are like the chrono chaos ruins: one clock tower stands upright while the world around it splinters into shards that don’t line up. UTC is the tower; every time zone is a shard set at its own angle, and daylight saving time knocks some of them askew twice a year.
Advice: During your data cleaning step, convert date-time data to use UTC. Run all computations on UTC. Consider during the Explanatory Data Analysis phase if local is more useful.
