"残留"过滤后的数据?

时间:2017-04-06 02:49:02

标签: r dplyr

我有一些关于UFO目击的数据

Date,Country,City,State,lat,lng
12/21/2016,USA,Waynesboro,VA,38.0652286,-78.90588756
12/21/2016,USA,Louisville,KY,38.2542376,-85.7594069
12/20/2016,USA,Santa Rosa,CA,38.4404675,-122.7144313
12/20/2016,USA,Fresno,CA,36.7295295,-119.7088612
12/19/2016,USA,Reymert,AZ,33.2297793,-111.2092898
12/19/2016,USA,Redding,CA,40.5863563,-122.3916753
12/19/2016,USA,Gilbert,AZ,33.294207,-111.7379465
12/19/2016,USA,Phoenix,AZ,33.4485866,-112.0773455
12/19/2016,USA,Huber Heights,OH,39.85902405,-84.11136285
12/19/2016,USA,Conway,AR,35.0886963,-92.442101
12/19/2016,USA,Anchorage,AK,61.2163129,-149.8948522
12/19/2016,USA,Town and Country,MO,38.6122751,-90.4634531
12/19/2016,USA,Salt Lake City,UT,40.7670126,-111.8904307
12/19/2016,USA,Richardson,TX,32.9481789,-96.7297205
12/18/2016,CANADA,Wetaskiwin,AB,52.968492,-113.3679199
12/18/2016,USA,Berryville,AR,36.364792,-93.5679666
12/18/2016,USA,Honolulu,HI,21.304547,-157.8556763
12/18/2016,USA,St. George,UT,37.104153,-113.5841312
12/18/2016,USA,Bend,OR,44.0581728,-121.3153095
12/18/2016,USA,Mission,KS,39.0277832,-94.6557913
12/18/2016,USA,Lancaster,OH,39.7136754,-82.5993293
12/17/2016,USA,San Pedro,CA,33.7358518,-118.2922933
12/17/2016,USA,Kahana,HI,21.5543942,-157.873405
12/17/2016,USA,San Diego,CA,32.7174209,-117.1627713
12/17/2016,USA,Waipio,HI,21.4172766,-157.9986758
12/17/2016,USA,Ojai,CA,34.4480495,-119.2428889
12/17/2016,USA,Weston,FL,26.103632,-80.40310188
12/17/2016,USA,Fairfield,CA,38.2493581,-122.0399662
12/16/2016,USA,Rio Rancho,NM,35.269381,-106.6328189
12/16/2016,USA,Hixson,TN,35.236207,-85.2982059
12/16/2016,USA,Dade City,FL,28.3647248,-82.1959177
12/16/2016,USA,La Veta,CO,37.5050118,-105.0077746
12/16/2016,USA,Kelso,WA,46.1420334,-122.9060317
12/16/2016,USA,Skiatook,OK,36.3684245,-96.0013846
12/16/2016,USA,Carson City,NV,39.1637984,-119.7674033
12/15/2016,USA,Syracuse,NY,43.0481221,-76.1474243
12/15/2016,USA,Johnson City,TN,36.3134398,-82.3534727
12/15/2016,USA,Davie,FL,26.075729,-80.28410888
12/15/2016,USA,Winchester,KS,39.3222209,-95.2669154
12/15/2016,USA,Middlefield,CT,41.717613,-81.2086884
12/15/2016,USA,Corbin,KY,36.9486986,-84.096876
12/15/2016,USA,Simpsonville,SC,34.7370639,-82.2542833
12/15/2016,USA,Panama City,FL,30.165156,-85.6605594
12/15/2016,USA,Chandler,AZ,33.3067132,-111.8408488
12/15/2016,USA,Ozark,AL,33.547741,-86.5591659
12/14/2016,USA,Cumming,GA,34.2073196,-84.1401925
12/14/2016,USA,North Chesterfield,VA,38.6560565,-90.5742028
12/14/2016,USA,Dabney,KY,37.1839682,-84.5499416
12/14/2016,USA,Clinton,CT,42.26306,-71.8052219
12/14/2016,USA,San Diego,CA,32.7174209,-117.1627713
12/14/2016,USA,South Burlington,VT,44.4669941,-73.1709603
12/14/2016,USA,Prescott Valley,AZ,34.6100243,-112.3157209
12/14/2016,USA,Monroe Twp,NJ,40.3183284,-74.42021822
12/14/2016,USA,Berthoud,CO,40.3083174,-105.0810923
12/13/2016,USA,Liberty Lake,WA,47.6631371,-117.0855724
12/13/2016,USA,Chicago,IL,41.8755546,-87.6244211
12/13/2016,USA,La Jolla,CA,32.8472711,-117.2742085
12/13/2016,USA,Fort Lauderdale,FL,26.1254381,-80.1381514
12/13/2016,USA,Cedar Rapids,IA,41.9758872,-91.6704052
12/13/2016,USA,Panama City,FL,30.165156,-85.6605594
12/13/2016,USA,Hale,MI,44.3777947,-83.8047086
12/13/2016,USA,Dubuque,IA,42.5006217,-90.6647966
12/13/2016,USA,St. Johns,FL,29.9032284,-81.4145467
12/13/2016,USA,West Des Moines,IA,41.5645337,-93.759528
12/13/2016,USA,Pasadena,CA,34.1476452,-118.1444778
12/12/2016,USA,Hagerstown,MD,39.6419219,-77.720264
12/12/2016,USA,Jacksonville,FL,30.3321838,-81.6556509
12/12/2016,USA,Taos,NM,36.4072485,-105.5730664
12/12/2016,USA,Stevens Pass,WA,47.7456352,-121.0891717
12/12/2016,USA,Marietta,GA,33.9528472,-84.5496147
12/12/2016,USA,West Collingswood,NJ,39.9062242,-75.0929516
12/12/2016,USA,South Lake Tahoe,CA,38.929125,-119.9878464
12/12/2016,USA,Salem,OR,44.9391565,-123.0331209
12/12/2016,USA,Eden Prairie,MN,44.8454356,-93.5297242
12/12/2016,USA,Smithville,MO,39.3869442,-94.5810658
11/12/2016,USA,Casey,IA,41.5049873,-94.5194148
11/12/2016,USA,St. George,UT,37.104153,-113.5841312
11/12/2016,USA,Fort Collins,CO,40.5508527,-105.0668084
11/12/2016,USA,Helena,MT,46.5927122,-112.0361089
11/12/2016,USA,Independence,LA,37.2242358,-95.708313
11/12/2016,USA,Chester,PA,39.849557,-75.3557457
11/12/2016,USA,Trabuco Canyon,CA,33.6626232,-117.5893799
11/12/2016,USA,Gallatin Gateway,MT,45.5915958,-111.1977303
10/12/2016,USA,Hot Springs,SD,43.431646,-103.4743629
10/12/2016,USA,Erving,MA,42.6000863,-72.3981415
10/12/2016,USA,Farragut,TN,35.8845238,-84.153526
10/12/2016,USA,Delta,CO,38.8368777,-107.8568293
10/12/2016,USA,Virginia Beach,VA,36.8529841,-75.9774182
10/12/2016,USA,Kayenta,AZ,36.717954,-110.2606012
10/12/2016,USA,Lahaina,HI,20.872684,-156.6762728
10/12/2016,USA,Navajo,NM,35.9040858,-109.0335346
10/12/2016,USA,Santa Fe,NM,35.6869996,-105.9377996
10/12/2016,USA,Arlington,VA,38.8903961,-77.0841584
10/12/2016,USA,Hickory,NC,35.7331895,-81.3412005
10/12/2016,USA,Pearland,TX,29.5639758,-95.2864298
9/12/2016,USA,Phoenix,AZ,33.4485866,-112.0773455
9/12/2016,USA,Portland,OR,45.5202471,-122.6741948
9/12/2016,USA,Oldsmar,FL,28.06906015,-82.6501914
9/12/2016,USA,Kingman,AZ,35.189443,-114.0530064
9/12/2016,USA,Fredericksburg,VA,38.3031837,-77.4605398
9/12/2016,USA,Lancing,TN,36.1206306,-84.6538307
9/12/2016,USA,Tewksbury,MA,42.6106479,-71.2342247
9/12/2016,USA,Newport,ME,44.8353424,-69.2739364
9/12/2016,CANADA,Truro,NS,45.366668,-63.3000059
8/12/2016,USA,Jerseyville,IL,39.1200471,-90.3284478
8/12/2016,USA,St. Clair,MO,38.0592942,-93.7945455
8/12/2016,USA,Cromwell,CT,41.2861336,-72.3557585
8/12/2016,USA,Atlanta,GA,33.7490987,-84.3901848
7/12/2016,USA,Saint Augustine,FL,29.8946952,-81.3145394
7/12/2016,USA,Anchorage,AK,61.2163129,-149.8948522
7/12/2016,USA,Napili,HI,20.9717546,-156.6756045
7/12/2016,USA,Bellingham,WA,48.754402,-122.4788601
7/12/2016,USA,Snellville,GA,33.857328,-84.0199107
7/12/2016,USA,Las Vegas,NV,36.1662859,-115.1492249
7/12/2016,USA,Riverdale,GA,33.5726113,-84.4132593
7/12/2016,USA,Plymouth,MA,41.9584367,-70.6672576
7/12/2016,USA,Orlando,FL,28.5479786,-81.4127841
6/12/2016,USA,High Point,NC,35.9556924,-80.0053175
6/12/2016,USA,Austin,NV,39.4932592,-117.0695385
6/12/2016,USA,Austin,NV,39.4932592,-117.0695385
6/12/2016,USA,Nairn,LA,29.4279955,-89.6108946
6/12/2016,USA,Holland,PA,40.1728871,-74.9926687
6/12/2016,USA,Manhattan,NY,40.7902778,-73.9597221
6/12/2016,USA,Lake Jackson,TX,29.0338575,-95.4343858
6/12/2016,USA,Union,IL,37.4616454,-89.2504792
6/12/2016,USA,Osterville,MA,41.6293398,-70.3866805
6/12/2016,USA,Sunrise,FL,26.1482449,-80.3288858
5/12/2016,CANADA,Regina,SK,50.4480951,-104.615818
5/12/2016,USA,Niantic,CT,32.7809195,-117.2524695
5/12/2016,USA,Ivins,UT,37.1685907,-113.6794056
5/12/2016,USA,Haskell,NJ,41.0284304,-74.2959822
5/12/2016,USA,Westmoreland,NH,42.9620253,-72.4423101
5/12/2016,CANADA,Keswick,ON,44.2278666,-79.46145
5/12/2016,USA,Elizabethtown,PA,40.153364,-76.604252
5/12/2016,USA,Webster,NY,43.2122851,-77.4299938
5/12/2016,USA,Stratford,CT,37.2584705,-79.9622598
5/12/2016,USA,La Pine,OR,43.6703995,-121.5036359
4/12/2016,USA,Sauk Rapids,MN,45.5919097,-94.166101
4/12/2016,USA,Huntington Beach,CA,33.6783336,-118.0000165
4/12/2016,USA,Freeport,ME,43.857307,-70.1037599
4/12/2016,USA,Sioux Falls,SD,43.5499749,-96.7003269
4/12/2016,USA,Arcade,GA,34.0778881,-83.5615535
4/12/2016,USA,Redwood Falls,MN,44.5393721,-95.1164477
4/12/2016,USA,Brinklow,MD,39.1659403,-77.0155329
4/12/2016,USA,Winter Harbor,ME,44.395523,-68.0836489
4/12/2016,USA,Severn,MD,39.127886,-76.6869129
4/12/2016,USA,Mission Viejo,CA,33.5965685,-117.6594049
4/12/2016,USA,Marana,AZ,32.4446988,-111.215709
4/12/2016,CANADA,London,ON,42.988576,-81.2466429
3/12/2016,USA,Matawan,NJ,40.41483,-74.229589
3/12/2016,USA,Morgantown,WV,39.6296809,-79.9559436
3/12/2016,USA,Corte Madera,CA,37.9254806,-122.5274754
3/12/2016,USA,Boone Grove,IN,41.3547602,-87.1294741
3/12/2016,USA,Rockville,MD,39.0840054,-77.1527572
3/12/2016,USA,North Snohomish,WA,47.9394115,-122.0779886
3/12/2016,USA,Whittier,CA,33.9748932,-118.0336974
3/12/2016,USA,Santa Cruz,CA,36.9735903,-122.0260569
3/12/2016,USA,Gorham,ME,43.6796943,-70.4429341
2/12/2016,USA,Philadelphia,PA,39.9523993,-75.1635898
2/12/2016,USA,Reidsville,NC,36.354859,-79.6644749
2/12/2016,USA,Raphine,VA,37.9373548,-79.2328101
2/12/2016,USA,Chester,VA,37.3569086,-77.4421817
2/12/2016,USA,Ashland,VA,37.7594012,-77.4806602
2/12/2016,USA,Snellville,GA,33.857328,-84.0199107
1/12/2016,USA,Plainville,CT,41.6745432,-72.8581557
1/12/2016,USA,Portland,TN,36.5817089,-86.5163832
1/12/2016,USA,Glendale,AZ,33.5389854,-112.1858156
1/12/2016,USA,Conway,SC,33.8360035,-79.0478142
1/12/2016,USA,San Bernardino,CA,34.1083449,-117.2897651
1/12/2016,USA,Amherst,NY,42.9783924,-78.7997615
1/12/2016,USA,Montgomery,AL,40.854156,-78.2711029
1/12/2016,USA,Asbury Park,NJ,40.2203907,-74.0120816
11/30/2016,USA,Edmonds,WA,47.8105738,-122.3774951
11/30/2016,USA,Camp Shelby,MS,31.1975317,-89.2078257
11/30/2016,USA,Riverton,WY,38.515529,-121.5321489
11/30/2016,USA,Radcliff,KY,37.8403456,-85.9491297
11/30/2016,USA,Kingsland,GA,30.7999563,-81.689826
11/30/2016,USA,Fayetteville,TX,29.9057817,-96.6727527
11/29/2016,USA,Belmont,MI,40.0057737,-81.0097515
11/29/2016,USA,Bridgeport,WV,39.2864787,-80.256198
11/29/2016,USA,American Canyon,CA,38.223457,-122.227043
11/29/2016,USA,Colorado Springs,CO,38.8339578,-104.8253484
11/29/2016,CANADA,Niagara Falls,ON,43.1089442,-79.0636192
11/29/2016,USA,Carlinville,IL,39.2797699,-89.8817661
11/29/2016,USA,Fairfield,CA,38.2493581,-122.0399662
11/29/2016,USA,Englewood,CO,39.6482059,-104.987964
11/29/2016,USA,Corona,CA,37.0066161,-121.9969062
11/29/2016,USA,Midland,MI,43.6155825,-84.2472116
11/29/2016,USA,Janesville,WI,42.7151854,-88.9907742
11/29/2016,USA,Plainfield,IL,41.623191,-88.2284325
11/29/2016,USA,Happy Valley,OR,43.1358923,-122.3804695
11/29/2016,USA,Anchor Point,AK,59.76826,-151.6775519
11/29/2016,USA,Fishers,IN,39.9555928,-86.0138728
11/28/2016,USA,Sutherlin,OR,43.3896628,-123.3123597
11/28/2016,USA,Tazewell,VA,37.1236041,-81.5684128
11/28/2016,USA,Athol,MA,42.5959203,-72.2267496
11/28/2016,USA,American Canyon,CA,38.223457,-122.227043
11/28/2016,USA,Ste. Genevieve,MO,37.9814415,-90.0417789
11/28/2016,USA,St. Petersburg,FL,27.77330515,-82.6469933
11/28/2016,USA,Waynesville,MO,37.8286516,-92.2007226
11/28/2016,USA,Seekonk,RI,41.8674548,-71.3797769
11/28/2016,USA,Vineland,NJ,39.473152,-75.0020264
11/28/2016,USA,Fairfield,ME,44.588511,-69.5990749
11/28/2016,USA,Athens,GA,33.94385375,-83.3972898
11/28/2016,USA,Centerville,IL,31.2579584,-95.9782919
11/28/2016,USA,Mooresville,NC,35.5848596,-80.8100723
11/28/2016,USA,Grand Junction,CO,39.063956,-108.5507316
11/27/2016,CANADA,Carrying Place,ON,43.8088119,-79.2334018
11/27/2016,USA,St. Petersburg,FL,27.77330515,-82.6469933
11/27/2016,USA,Bay Shore,NY,40.7250986,-73.2453945
11/27/2016,USA,Longmont,CO,40.1672117,-105.1019286
11/27/2016,USA,Kenmore,WA,47.7573202,-122.2440147
11/27/2016,USA,Maui,HI,20.8029568,-156.3106832
11/27/2016,USA,Allentown,PA,40.6022059,-75.4712793
11/27/2016,USA,Lake Charles,LA,30.2265949,-93.2173758
11/27/2016,USA,Raymond,NE,40.956282,-96.7834109
11/26/2016,USA,Bailey,CO,34.0349194,-102.8149371
11/26/2016,USA,Bergen,NY,43.085391,-77.9417139
11/26/2016,USA,Middletown,NY,41.4459271,-74.422934
11/26/2016,USA,Charlotte,NC,35.2270869,-80.8431267
11/26/2016,USA,Davenport,FL,28.1614046,-81.6017416
11/26/2016,USA,Allen Park,MI,42.2575385,-83.2110374
11/26/2016,USA,Naugatuck,CT,41.4860186,-73.0509431
11/26/2016,USA,Venice,FL,27.0998708,-82.4544131
11/26/2016,USA,Fairview,OR,45.5469302,-122.4370392
11/26/2016,USA,McDonough,GA,33.4473361,-84.1468615
11/26/2016,USA,Spearfish,SD,44.490817,-103.8593699
11/26/2016,USA,Shallotte,NC,33.9732275,-78.385837
11/26/2016,USA,Brooklyn,NY,40.64530975,-73.9550229
11/26/2016,USA,McChord AFB,WA,47.1377,-122.4764999
11/26/2016,USA,Vacaville,CA,38.3565773,-121.9877443
11/26/2016,USA,West New York,NJ,40.785529,-74.0083002
11/25/2016,USA,Olathe,KS,38.8843867,-94.8161126
11/25/2016,USA,Tyrone,GA,33.6723506,-82.8612562
11/25/2016,USA,Vero Beach,FL,27.6387163,-80.3975398
11/25/2016,USA,Bedford,IN,38.8611619,-86.4872148
11/25/2016,USA,Nevada,NV,39.5158825,-116.8537226
11/25/2016,USA,Brandon,FL,27.928464,-82.2880445
11/25/2016,USA,Port Orange,FL,29.10150985,-81.0105537
11/25/2016,USA,Torrance,CA,33.8358492,-118.3406287
11/25/2016,USA,Longmont,CO,40.1672117,-105.1019286
11/25/2016,USA,Corpus Christi,TX,27.8002542,-97.3955743
11/25/2016,USA,Warner Robins,GA,32.598313,-83.6256769
11/25/2016,USA,Newcastle,WA,47.5395736,-122.156333
11/24/2016,USA,Graham,NC,36.069026,-79.4005759
11/24/2016,USA,Annapolis,MD,38.9786401,-76.4927859
11/24/2016,USA,Balko,OK,36.6600752,-100.679207
11/24/2016,USA,Largo,FL,27.9094665,-82.7873243
11/24/2016,USA,Woodbridge,NJ,40.55418,-74.2860007
11/24/2016,USA,Woodbridge,NJ,40.55418,-74.2860007
11/24/2016,USA,Oldsmar,FL,28.06906015,-82.6501914
11/24/2016,USA,Zebulon,NC,35.824321,-78.3147199
11/24/2016,USA,Monrovia,MD,39.3720477,-77.2719278
11/24/2016,USA,Grand Junction,CO,39.063956,-108.5507316
11/24/2016,USA,Colorado Springs,CO,38.8339578,-104.8253484
11/24/2016,USA,D'iberville,MS,30.4263092,-88.8908637
11/23/2016,USA,Tinton Falls,NJ,40.3159438,-74.0851403
11/23/2016,USA,Beaverton,OR,45.4871723,-122.8037803
11/23/2016,USA,Central Square,NY,43.286736,-76.1460359
11/23/2016,USA,Carlsbad,CA,33.1580933,-117.3505938
11/23/2016,USA,Poteau,OK,35.0537094,-94.6235578
11/22/2016,USA,Mesa,AZ,33.436188,-111.5860661
11/22/2016,CANADA,Oshawa,ON,43.9172764,-78.8614873
11/22/2016,USA,Largo,FL,27.9094665,-82.7873243
11/22/2016,USA,Beecher,IL,41.34059,-87.6214285
11/22/2016,USA,Santa Clara,UT,37.1330355,-113.6541265
11/22/2016,USA,Santa Clara,UT,37.1330355,-113.6541265
11/22/2016,USA,Derby,KS,37.5455735,-97.268933
11/22/2016,USA,Cecil,PA,32.3026416,-86.0085693
11/22/2016,USA,Atkinson,NH,42.8384221,-71.1470036
11/22/2016,USA,Brooklyn,NY,40.64530975,-73.9550229
11/22/2016,USA,Floral City,FL,28.7211775,-82.3076844
11/22/2016,USA,Jarrettsville,MD,39.60455,-76.4777421
11/22/2016,USA,Gainesville,GA,34.2978794,-83.8240662
11/22/2016,USA,San Diego,CA,32.7174209,-117.1627713
11/22/2016,USA,Scarborough,ME,43.59622635,-70.3300556
11/22/2016,USA,Bismarck,ND,46.8083268,-100.7837391
11/21/2016,USA,Key Colony Beach,FL,24.7209744,-81.0186826
11/21/2016,CANADA,Victoria,BC,48.4283327,-123.3649268
11/21/2016,USA,Riverdale,GA,33.5726113,-84.4132593
11/21/2016,USA,Fountain Hill,AR,33.3578937,-91.8504083
11/21/2016,USA,Ventura,CA,34.364744,-119.3105822
11/21/2016,USA,Alexandria,VA,33.7237617,-116.2673236
11/21/2016,USA,Pearisburg,VA,37.3265112,-80.7350711
11/21/2016,USA,Miramar Beach,FL,30.38208845,-86.3640414
11/21/2016,USA,Honolulu,HI,21.304547,-157.8556763
11/21/2016,USA,Sherman Oaks,CA,34.1508718,-118.4489864
11/21/2016,USA,Burbank,CA,34.1816482,-118.3258553
11/20/2016,USA,McKinney,TX,33.1976496,-96.615447
11/20/2016,USA,Boise,ID,43.61656,-116.2008349
11/20/2016,USA,Springfield,IL,39.7989763,-89.6443687
11/20/2016,USA,San Jose,CA,37.3361905,-121.8905832
11/20/2016,USA,Charleston,TN,35.4959148,-89.5089637
11/20/2016,USA,Lincoln,NE,40.8,-96.6678209
11/20/2016,USA,Franklin,WI,44.2127373,-91.123762
11/20/2016,USA,Pamplin,VA,37.2634817,-78.6825049
11/19/2016,USA,Apollo Beach,FL,27.7729445,-82.3981418
11/19/2016,USA,Salt Lake City,UT,40.7670126,-111.8904307
11/19/2016,USA,Myrtle Beach,SC,33.6956461,-78.8900408
11/19/2016,USA,Oregon City,OR,45.3573429,-122.6067582
11/19/2016,USA,San Marcos,CA,33.1433723,-117.1661448
11/19/2016,USA,Jefferson City,MO,38.577359,-92.1724264
11/19/2016,CANADA,Victoria,BC,48.4283327,-123.3649268
11/19/2016,USA,Boynton Beach,FL,26.5253491,-80.0664308
11/19/2016,USA,Brandon,FL,27.928464,-82.2880445
11/19/2016,USA,Zephyrhills,FL,28.2336196,-82.1811946
11/19/2016,USA,Bristol,CT,37.9317492,-122.0327847
11/19/2016,USA,Woodbridge,VA,38.658172,-77.2497049
11/19/2016,USA,Fishers,IN,39.9555928,-86.0138728
11/19/2016,USA,Louisville,KY,38.2542376,-85.7594069
11/19/2016,USA,Woodbridge,VA,38.658172,-77.2497049
11/19/2016,USA,Blaine,MN,45.1607987,-93.2349488
11/19/2016,USA,Ferrisburgh,VT,44.205835,-73.2465359
11/19/2016,USA,Springfield,MA,42.1014831,-72.5898109
11/19/2016,USA,Newnan,GA,33.3806716,-84.7996572
11/19/2016,USA,Largo,FL,27.9094665,-82.7873243
11/19/2016,USA,Cape Coral,FL,26.6058996,-81.9807339
11/19/2016,USA,Wichita,KS,37.6922361,-97.3375447
11/19/2016,USA,Smithton,PA,40.1539613,-79.7411534
11/19/2016,USA,Obernburg,NY,41.8448104,-75.0071096
11/18/2016,USA,Columbus,OH,39.9622601,-83.0007064
11/18/2016,USA,Sioux Falls,SD,43.5499749,-96.7003269
11/18/2016,USA,Fletcher,NC,35.4306712,-82.5012315
11/18/2016,USA,Billings,MT,45.7874957,-108.4960699
11/18/2016,USA,Billings,MT,45.7874957,-108.4960699
11/18/2016,USA,Stone Creek,OH,40.3972892,-81.5620642
11/18/2016,USA,Carrollton,OH,40.5728404,-81.0856531
11/18/2016,USA,Hampton,VA,37.0300969,-76.3452056
11/18/2016,USA,Nashville,TN,36.1622296,-86.774353
11/18/2016,USA,Kittery,ME,43.1033619,-70.7851622
11/18/2016,USA,McMurray,PA,40.2790921,-80.1017976
11/18/2016,USA,Bronx,NY,40.85703325,-73.83669606
11/18/2016,USA,New York City,NY,40.7305991,-73.9865811
11/18/2016,USA,Farmington,NH,43.39008,-71.0657499
11/17/2016,USA,Buena Park,CA,33.870413,-117.9962164
11/17/2016,USA,Athens,OH,39.3292396,-82.1012554
11/17/2016,USA,Methuen,MA,42.7262016,-71.1908923
11/17/2016,USA,Benton City,WA,46.2631897,-119.4878019
11/17/2016,USA,Stevens Point,WI,44.5229223,-89.5741109
11/17/2016,USA,High Point,NC,35.9556924,-80.0053175
11/17/2016,USA,Caldwell,ID,43.6678736,-116.6894155
11/17/2016,USA,Balko,OK,36.6600752,-100.679207
11/17/2016,USA,Jordan,MT,47.32121,-106.9104609
11/17/2016,USA,Elizabethton,TN,36.3487196,-82.2106875
11/17/2016,USA,Lower Burrell,PA,40.5882821,-79.7298186
11/17/2016,USA,Hemet,CA,33.778562,-117.0357665
11/17/2016,USA,Nampa,ID,43.5737361,-116.5596312
11/17/2016,USA,Oshkosh,WI,44.0206919,-88.5408573
11/17/2016,USA,Avon,CO,39.6329025,-106.4711837
11/17/2016,USA,Stonington,ME,44.156593,-68.6672969
11/16/2016,USA,Elk Grove,CA,38.4087993,-121.3716177
11/16/2016,USA,Benson,AZ,31.9678731,-110.2945759
11/16/2016,USA,Schenectady,NY,42.8095455,-74.0216719
11/16/2016,CANADA,London,ON,42.988576,-81.2466429
11/16/2016,USA,Middleton,ID,43.7068282,-116.6201356
11/16/2016,USA,Danville,KY,37.6456488,-84.7721822
11/16/2016,USA,Maple Grove,MN,45.0759797,-93.4561051
11/16/2016,USA,Lake Havasu City,AZ,34.4742786,-114.3440009
11/16/2016,USA,Maricopa,AZ,33.34883,-112.4912299
11/16/2016,USA,Carlton,OR,45.2942822,-123.1764948
11/16/2016,USA,Wood Village,OR,45.5372449,-122.4178386
11/16/2016,USA,Green Garden Township,IL,46.4385488,-87.2793086
11/16/2016,CANADA,Banff,AB,51.1777781,-115.5682503
11/16/2016,USA,Frostproof,FL,27.7458626,-81.5306312
11/16/2016,USA,Egg Harbor Township,NJ,39.3851791,-74.6756877
11/16/2016,USA,Shady Cove,OR,42.6109085,-122.8218511
11/16/2016,USA,Fremont,WI,44.2597027,-88.8648343
11/16/2016,USA,Mosinee,WI,44.7927298,-89.7035958
11/16/2016,USA,Clarksville,TN,36.5277607,-87.3588702
11/16/2016,USA,Richland,WA,46.2778406,-119.2769066
11/15/2016,USA,Bettendorf,IA,41.5255466,-90.5081477
11/15/2016,USA,Phoenix,AZ,33.4485866,-112.0773455
11/15/2016,USA,Portland,OR,45.5202471,-122.6741948
11/15/2016,USA,Stevens Point,WI,44.5229223,-89.5741109
11/15/2016,USA,Seattle,WA,47.6038321,-122.3300623
11/15/2016,CANADA,Prince Albert,SK,53.201097,-105.7489009
11/15/2016,USA,Stevens Point,WI,44.5229223,-89.5741109
11/15/2016,USA,Naperville,IL,41.7729107,-88.1478669
11/15/2016,USA,Berlin,WI,43.9680365,-88.9434476
11/15/2016,USA,Tahlequah,OK,35.91537,-94.9699559
11/15/2016,USA,Glendale,AZ,33.5389854,-112.1858156
11/15/2016,USA,Old Washington,OH,40.0386822,-81.444562
11/15/2016,USA,Saltillo,MS,34.3764923,-88.68172
11/15/2016,USA,Portland,OR,45.5202471,-122.6741948
11/14/2016,USA,Hillsboro,OR,45.5228939,-122.9898269
11/14/2016,USA,Gardena,CA,33.888658,-118.3076479
11/14/2016,USA,Longmont,CO,40.1672117,-105.1019286
11/14/2016,USA,Deltona,FL,28.9005446,-81.2636737
11/14/2016,USA,Central City,NE,41.1158475,-98.0017248
11/14/2016,USA,Irving,TX,32.8629195,-96.97917017
11/14/2016,USA,Jacksonville,FL,30.3321838,-81.6556509
11/14/2016,USA,Blanchardville,WI,42.81032,-89.8622148
11/14/2016,USA,Columbus,OH,39.9622601,-83.0007064
11/14/2016,USA,Summerville,SC,33.0206179,-80.1747536
11/14/2016,USA,Waupaca,WI,44.3735635,-89.03185979
11/14/2016,USA,Wilkesboro,NC,36.145965,-81.16064
11/14/2016,CANADA,Pickering,ON,43.8356637,-79.0905385
11/14/2016,USA,Fresno,CA,36.7295295,-119.7088612
11/14/2016,USA,Glendale,AZ,33.5389854,-112.1858156
11/13/2016,USA,Benson,VT,43.71558845,-73.30815198
11/13/2016,USA,Palmyra,PA,40.3089798,-76.5933012
11/13/2016,USA,North Chesterfield,VA,38.6560565,-90.5742028
11/13/2016,USA,Coconut Creek,FL,26.2714628,-80.18180782
11/13/2016,USA,Chesapeake Bay,MD,38.5167886,-76.3830045
11/13/2016,CANADA,Ottawa,ON,45.4210328,-75.6900218
11/13/2016,USA,Chester,SD,43.894974,-96.9264449
11/13/2016,USA,Centerville,OH,39.6283928,-84.1593817
11/13/2016,USA,Gila Bend,AZ,32.9478267,-112.7168238
11/13/2016,USA,Selma,IN,32.4078632,-87.0207472
11/13/2016,CANADA,Grande Prairie,AB,55.171025,-118.7951659
11/13/2016,USA,Benicia,CA,38.049365,-122.1585776
11/13/2016,USA,Monroeville,PA,40.4211798,-79.7881024
11/13/2016,USA,Wheaton,MD,39.0398314,-77.0552554
11/13/2016,USA,Ottawa,IL,41.3516628,-88.8454359
11/13/2016,USA,Elwood,IL,41.4039201,-88.1117241
11/13/2016,USA,Bagley,IA,41.8460964,-94.4299693
11/13/2016,USA,Grand Rapids,MI,42.9632405,-85.6678638
11/13/2016,USA,Stockton,CA,37.9577016,-121.2907795
12/11/2016,USA,Maryville,TN,35.7564719,-83.9704592
12/11/2016,USA,Andersonville,TN,36.1986898,-84.0371391
12/11/2016,USA,Auburn,WA,47.3075369,-122.2301807
12/11/2016,USA,Baltimore,MD,39.2908816,-76.6107589
12/11/2016,USA,New Market,MD,39.3826031,-77.2694277
12/11/2016,USA,Chesterfield,MI,38.6560565,-90.5742028
12/11/2016,USA,Highland Park,IL,42.1816919,-87.8003437
12/11/2016,USA,Melbourne,FL,28.0836269,-80.6081088
12/11/2016,USA,Glendale,AZ,33.5389854,-112.1858156
12/11/2016,USA,Durham,NC,35.9940329,-78.8986189
12/11/2016,USA,Fountain Hill,AR,33.3578937,-91.8504083
12/11/2016,USA,Bethesda,MD,38.9848265,-77.0946458
12/11/2016,USA,Bristol,VA,36.5959685,-82.1885008
12/11/2016,USA,Twin Falls,ID,42.5704219,-114.460317
12/11/2016,USA,Bloomfield Hills,MI,42.583645,-83.2454882
12/11/2016,USA,Louisville,KY,38.2542376,-85.7594069
12/11/2016,USA,Freeport,NY,40.6576022,-73.5831834
11/11/2016,USA,Middletown,DE,39.449556,-75.7163206
11/11/2016,USA,Alabaster,AL,33.2442813,-86.8163772
11/11/2016,USA,Owatonna,MN,44.0839937,-93.2261075
11/11/2016,USA,Jasper County,IA,41.6791308,-93.0647785
11/11/2016,USA,Anchorage,AK,61.2163129,-149.8948522
11/11/2016,USA,Terra Linda,CA,38.0040893,-122.5496999
11/11/2016,USA,Terra Linda,CA,38.0040893,-122.5496999
11/11/2016,USA,Raleigh,NC,35.7803977,-78.6390988
11/11/2016,USA,Phoenix,AZ,33.4485866,-112.0773455
11/11/2016,USA,Boca Raton,FL,26.3586885,-80.0830983
11/11/2016,USA,Salt Lake City,UT,40.7670126,-111.8904307
11/11/2016,USA,West Palm Beach,FL,26.7153425,-80.0533745
11/11/2016,USA,Nashua,NH,42.7653662,-71.4675659
11/11/2016,USA,Moss Point,MS,30.4115881,-88.53446
11/11/2016,USA,Greeley,CO,38.4570355,-101.8185006
11/11/2016,USA,West Salem,OR,44.9482087,-123.0629462
11/11/2016,USA,Keizer,OR,44.9958075,-123.0197172
11/11/2016,USA,Herod,IL,37.5803268,-88.4361546
11/11/2016,USA,Leominster,MA,42.5250906,-71.7597939

整个事情太大了,不能发布,但这应该让我们开始。

我修正了日期并过滤了国家和州的数据

ufodata <-read.csv("UFO.csv", header=TRUE)

new.date<- strptime(ufodata$Date, format="%m/%d/%Y")
UFO<-cbind(ufodata, new.date)
stateselect <- UFO %>% filter(State=="VA",Country=="USA")
statesorted<-stateselect[order(stateselect$new.date),]

所以我现在有了一个名为stateselect的数据框,它只能看到弗吉尼亚。 R Studio将其显示为对7个变量的108个观察值......与我的6个原始列和新日期相符。

但如果我跑

summary(stateselect)



         Date      Country                City        State          lat             lng             new.date                  
 11/3/2016 : 4   CANADA:  0   Virginia Beach:11   VA     :108   Min.   :33.72   Min.   :-116.27   Min.   :2016-01-06 00:00:00  
 2/12/2016 : 3   USA   :108   Fredericksburg: 5   AB     :  0   1st Qu.:36.89   1st Qu.: -78.74   1st Qu.:2016-03-17 18:00:00  
 1/30/2016 : 2                Stafford      : 4   AK     :  0   Median :37.64   Median : -77.46   Median :2016-07-10 00:00:00  
 10/11/2016: 2                Woodbridge    : 4   AL     :  0   Mean   :37.75   Mean   : -78.79   Mean   :2016-06-26 20:48:20  
 10/12/2016: 2                Arlington     : 3   AR     :  0   3rd Qu.:38.66   3rd Qu.: -77.08   3rd Qu.:2016-10-04 12:00:00  
 11/19/2016: 2                Portsmouth    : 3   AZ     :  0   Max.   :39.61   Max.   : -75.38   Max.   :2016-12-21 00:00:00  
 (Other)   :93                (Other)       :78   (Other):  0            

那么为什么加拿大仍然出现在国家之下,所有其他州都出现在国家之下?我接下来要做的是获取弗吉尼亚州的城市名称。但如果我跑

unique(stateselect$City)
 [1] Waynesboro            North Chesterfield    Virginia Beach        Arlington             Fredericksburg        Raphine              
 [7] Chester               Ashland               Tazewell              Alexandria            Pearisburg            Pamplin              
[13] Woodbridge            Hampton               Bristol               Ashburn               Charlottesville       Colonial Beach       
[19] Reston                Springfield           Petersburg            Prince William        False Cape State Park Spotsylvania         
[25] Manassas              Falls Church          Gainesville           Newport News          Williamsburg          Comer's Rock         
[31] Fairfax               Big Stone Gap         Roanoke               Chincoteague          Hiltons               Midlothian           
[37] Farmville             Marion                Hurt                  Salem                 Madison Heights       Aldie                
[43] Portsmouth            Front Royal           Occoquan              Stanley               Covington             Richmond             
[49] Lynchburg             Chesapeake            Vinton                Buckingham            Stafford              Winchester           
[55] Burke                 Centreville           Martinsville          Radford               Culpeper              Hillsville           
[61] Route 66 West         Manassas Park         Ivor                  Danville              Rockville             Suffolk              
[67] Stanardsville        
2626 Levels: 495 Maryland Hwy Aberdeen Aberdeen Gardens Abilene Abiquiu Absecon Accord Acworth Adairsville Adrian Agoura Hills Aiken ... Zion

你可以看到来自弗吉尼亚州的67个城市名称,但也有&#34; 2626级别&#34;东西。所以,如果我尝试存储输出

names <- unique(stateselect$City)

名称现在是2626级别的因素。我完全糊涂了......

1 个答案:

答案 0 :(得分:1)

尝试:

ufodata <- read.csv("UFO.csv", header=TRUE, stringsAsFactors = FALSE)

您看到变量的值和级别为零,因为状态和国家/地区在导入期间已转换为因子。你可能希望它们保留为字符串(字符)。