Preparation Packages

library("twitteR")
## Warning: package 'twitteR' was built under R version 3.4.4
library("wordcloud")
## Warning: package 'wordcloud' was built under R version 3.4.4
## Loading required package: RColorBrewer
library("tm")
## Warning: package 'tm' was built under R version 3.4.4
## Loading required package: NLP
library("plyr")
## 
## Attaching package: 'plyr'
## The following object is masked from 'package:twitteR':
## 
##     id

Read Tokens in R

consumer_key='lDu8KP5dWReKsxBjydUe3z6mG'
consumer_secret='HdtmcIbXwP7AniiSmwvyDXYWaCb9hEvldcgz3ORiTJmlZkO0Md'
access_token ='842760312801710085-xNxMZjD0AOQVkgB8KcoFg4Rsztq0e4K'
access_secret='lqlaS64jhH5zn9HAIQ0iwVm0TupUUdEBffEz30sSKQIOF'
setup_twitter_oauth(consumer_key,consumer_secret,access_token,access_secret)
## [1] "Using direct authentication"

Read data from Twitter into R

num_tweets=25
r_stats=searchTwitter("#MedicalEquipment",n=num_tweets)
r_stats
## [[1]]
## [1] "tmj_SD_skltrd: We're #hiring! Read about our latest #job opening here: Medical Equipment Delivery Technician/ Delivery Driver -… https://t.co/ONk9wdkdDD"
## 
## [[2]]
## [1] "sachinchawla: RT @supermedicare1: DreamStation combines proven technology from the previous lineups & featuring new technology to provide comfortable, na…"
## 
## [[3]]
## [1] "Kangaroo_Cases: Case Warriors! #best crew #kangaroocases #reusableshippingcontainer #av #casecompany #proav #prolighting… https://t.co/I0Nkr0W2xu"
## 
## [[4]]
## [1] "supermedicare1: DreamStation combines proven technology from the previous lineups & featuring new technology to provide comfortable… https://t.co/BbZfIr58A0"
## 
## [[5]]
## [1] "Tiger_Medical: Designed to keep tools protected and simplify transportation, Diagnostic Sets from Welch Allyn feature a combinatio… https://t.co/nPUzObg86w"
## 
## [[6]]
## [1] "josephbrinas: RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"
## 
## [[7]]
## [1] "Jheny92664296: RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"
## 
## [[8]]
## [1] "Quote60272558: RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"
## 
## [[9]]
## [1] "rllvsssr: RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"
## 
## [[10]]
## [1] "laraayeza14: RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"
## 
## [[11]]
## [1] "GlobalDental_UK: RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"
## 
## [[12]]
## [1] "clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf… https://t.co/kE24Q4YN80"
## 
## [[13]]
## [1] "AdvancingPhysio: RT @TimHourahine: #Sterimelt and #AneurinBevanNHS featuring in another #medicalequipment related journal https://t.co/GjqPoPwqlQ"
## 
## [[14]]
## [1] "tmj_RIP_skltrd: This #job might be a great fit for you: Medical Equipment Delivery Technician - https://t.co/3oh5kdLESo… https://t.co/sf1xnr8o6j"
## 
## [[15]]
## [1] "MedicalShipment: Cellphone minutes are in constant demand, so Susan Musungambira, who sells cards that replenish those minutes, has… https://t.co/zQ5gVJMbQn"
## 
## [[16]]
## [1] "johnnaarintl: Memphis, TN Capital Medical Equipment-3+ year solid sales exp-documented track record. Solid base & comm at plan 20… https://t.co/TUgUGCV6oS"
## 
## [[17]]
## [1] "johnnaarintl: New Orleans, LA Capital Medical Equipment-3+ year solid sales exp-documented track record. Solid base & comm at pla… https://t.co/VbkltzvC8M"
## 
## [[18]]
## [1] "MedicalDunia: #medicaldunia deal in all types of #autocalve #sterilizer . Any Query Please Contact us info@medicaldunia.com, +91-… https://t.co/tOnkWO3w84"
## 
## [[19]]
## [1] "medicalmartuae: The Advanced 100B is a Pulse Oximeter intended continuous monitoring or spot-checking of functional arterial oxygen… https://t.co/91i6N1rAcw"
## 
## [[20]]
## [1] "PrimedeqIndia: Newport Portable Ventilator, Zimmer Orthodrill, Allen & Hansburys Dermatome, 100mA Xray, Xray Table and ECG machine… https://t.co/xDVA80Vgjv"
## 
## [[21]]
## [1] "ThomasSebry: RT @TimHourahine: #Sterimelt and #AneurinBevanNHS featuring in another #medicalequipment related journal https://t.co/GjqPoPwqlQ"
## 
## [[22]]
## [1] "TimHourahine: #Sterimelt and #AneurinBevanNHS featuring in another #medicalequipment related journal https://t.co/GjqPoPwqlQ"
## 
## [[23]]
## [1] "medkinect1: It's Thursday folks. Let's make sure we finish the week strong! \n\n#salesreps, #medicalreps.. We love to make money.… https://t.co/EEKaH4deQy"
## 
## [[24]]
## [1] "gateuk: https://t.co/2zWMUAJtM8 added : Medisave - Medisave offers an extensive selection of personal physician/health prof… https://t.co/5BIPx2GF1r"
## 
## [[25]]
## [1] "tmj_PHL_skltrd: Can you recommend anyone for this #job? Medical Equipment Delivery Technician - https://t.co/aaBkoAM7DG… https://t.co/WP2bvhMzQg"

Modify Tweets

  1. Save Text
r_stats_text=sapply(r_stats, function(x) x$getText())
r_stats_text
##  [1] "We're #hiring! Read about our latest #job opening here: Medical Equipment Delivery Technician/ Delivery Driver -… https://t.co/ONk9wdkdDD"       
##  [2] "RT @supermedicare1: DreamStation combines proven technology from the previous lineups & featuring new technology to provide comfortable, na…"
##  [3] "Case Warriors! #best crew #kangaroocases #reusableshippingcontainer #av #casecompany #proav #prolighting… https://t.co/I0Nkr0W2xu"               
##  [4] "DreamStation combines proven technology from the previous lineups & featuring new technology to provide comfortable… https://t.co/BbZfIr58A0"
##  [5] "Designed to keep tools protected and simplify transportation, Diagnostic Sets from Welch Allyn feature a combinatio… https://t.co/nPUzObg86w"    
##  [6] "RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"  
##  [7] "RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"  
##  [8] "RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"  
##  [9] "RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"  
## [10] "RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"  
## [11] "RT @clineedscs: A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf \n\n#Medicale…"  
## [12] "A #therapist is looking for a full time Therapy office space in #SanDiego , #California https://t.co/Y6nc5glVOf… https://t.co/kE24Q4YN80"        
## [13] "RT @TimHourahine: #Sterimelt and #AneurinBevanNHS featuring in another #medicalequipment related journal https://t.co/GjqPoPwqlQ"                
## [14] "This #job might be a great fit for you: Medical Equipment Delivery Technician - https://t.co/3oh5kdLESo… https://t.co/sf1xnr8o6j"                
## [15] "Cellphone minutes are in constant demand, so Susan Musungambira, who sells cards that replenish those minutes, has… https://t.co/zQ5gVJMbQn"     
## [16] "Memphis, TN Capital Medical Equipment-3+ year solid sales exp-documented track record. Solid base & comm at plan 20… https://t.co/TUgUGCV6oS"
## [17] "New Orleans, LA Capital Medical Equipment-3+ year solid sales exp-documented track record. Solid base & comm at pla… https://t.co/VbkltzvC8M"
## [18] "#medicaldunia deal in all types of #autocalve #sterilizer . Any Query Please Contact us info@medicaldunia.com, +91-… https://t.co/tOnkWO3w84"    
## [19] "The Advanced 100B is a Pulse Oximeter intended continuous monitoring or spot-checking of functional arterial oxygen… https://t.co/91i6N1rAcw"    
## [20] "Newport Portable Ventilator, Zimmer Orthodrill, Allen & Hansburys Dermatome, 100mA Xray, Xray Table and ECG machine… https://t.co/xDVA80Vgjv"
## [21] "RT @TimHourahine: #Sterimelt and #AneurinBevanNHS featuring in another #medicalequipment related journal https://t.co/GjqPoPwqlQ"                
## [22] "#Sterimelt and #AneurinBevanNHS featuring in another #medicalequipment related journal https://t.co/GjqPoPwqlQ"                                  
## [23] "It's Thursday folks. Let's make sure we finish the week strong! \n\n#salesreps, #medicalreps.. We love to make money.… https://t.co/EEKaH4deQy"  
## [24] "https://t.co/2zWMUAJtM8 added : Medisave - Medisave offers an extensive selection of personal physician/health prof… https://t.co/5BIPx2GF1r"    
## [25] "Can you recommend anyone for this #job? Medical Equipment Delivery Technician - https://t.co/aaBkoAM7DG… https://t.co/WP2bvhMzQg"
  1. Create corpus - consuct a text document colection
r_stats_text_corpus=Corpus(VectorSource(r_stats_text))
r_stats_text_corpus
## <<SimpleCorpus>>
## Metadata:  corpus specific: 1, document level (indexed): 0
## Content:  documents: 25

Modify the tweets

  1. Wordcloud
library("tm")
r_stats_text_corpus=tm_map(r_stats_text_corpus, function(x) iconv(enc2utf8(x), sub = "byte"))
## Warning in tm_map.SimpleCorpus(r_stats_text_corpus, function(x)
## iconv(enc2utf8(x), : transformation drops documents
r_stats_text_corpus=tm_map(r_stats_text_corpus, content_transformer(tolower)) 
## Warning in tm_map.SimpleCorpus(r_stats_text_corpus,
## content_transformer(tolower)): transformation drops documents
r_stats_text_corpus=tm_map(r_stats_text_corpus, removePunctuation)
## Warning in tm_map.SimpleCorpus(r_stats_text_corpus, removePunctuation):
## transformation drops documents
r_stats_text_corpus=tm_map(r_stats_text_corpus, function(x)removeWords(x,stopwords()))
## Warning in tm_map.SimpleCorpus(r_stats_text_corpus, function(x)
## removeWords(x, : transformation drops documents
wordcloud(r_stats_text_corpus)
## Warning in wordcloud(r_stats_text_corpus): httpstcoy6nc5glvof could not be
## fit on page. It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): therapist could not be fit on
## page. It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): therapy could not be fit on
## page. It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): clineedscs could not be fit on
## page. It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): medicale†could not be fit on
## page. It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): office could not be fit on page.
## It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): looking could not be fit on
## page. It will not be plotted.
## Warning in wordcloud(r_stats_text_corpus): delivery could not be fit on
## page. It will not be plotted.

Get User Info

r_stats_obama=userTimeline("opunu", n=25)
me=getUser("opunu")
me$getId()
## [1] "174538388"
getUser(174538388)
## [1] "opunu"

Follower Information

followersIds=lookupUsers(me$getFollowerIDs())
length(followersIds)
## [1] 599
followers=me$getFollowers()
followers
## $`980967550942089216`
## [1] "superyagami400"
## 
## $`2666110080`
## [1] "MikeAReynoso"
## 
## $`992390823915474944`
## [1] "XDPX3"
## 
## $`4011191352`
## [1] "altamimi_jassem"
## 
## $`816891520284508160`
## [1] "sohaibs32828076"
## 
## $`967657156878262272`
## [1] "imran_mazin"
## 
## $`987843246004035584`
## [1] "GoketerHC"
## 
## $`976361619956658176`
## [1] "TheMixItManM"
## 
## $`3750047715`
## [1] "BVerderaime"
## 
## $`760218710992912384`
## [1] "NMG_Prodigy"
## 
## $`1138677146`
## [1] "Vozie09"
## 
## $`957566932370280448`
## [1] "hemed1223"
## 
## $`726488478255616000`
## [1] "Tacheanimation"
## 
## $`635517701`
## [1] "eRor_789"
## 
## $`183294278`
## [1] "jdillard3"
## 
## $`972280220366581760`
## [1] "PotatoeWhat"
## 
## $`967106533808107520`
## [1] "realrazlo"
## 
## $`4194882612`
## [1] "shadowdemun13"
## 
## $`344240940`
## [1] "ScreenWriter86"
## 
## $`859215219821862912`
## [1] "NarutoSakuga"
## 
## $`2196769017`
## [1] "Alex_Brapss"
## 
## $`964916156833280000`
## [1] "ThatGamer808"
## 
## $`787834205644460032`
## [1] "DaEclipseGamer"
## 
## $`482483296`
## [1] "ceciheco"
## 
## $`918133988836995072`
## [1] "AtlantizYTR"
## 
## $`822567214717014016`
## [1] "ZBEUGamingYT"
## 
## $`961803263598383104`
## [1] "Justguy000"
## 
## $`795438387155058688`
## [1] "BurntFoodsss"
## 
## $`4348536012`
## [1] "Cvbraa14"
## 
## $`945311534472925184`
## [1] "saiyan_god98"
## 
## $`959519312531902464`
## [1] "DBZChronicles"
## 
## $`958031484069302272`
## [1] "Roo97Jenna"
## 
## $`910895140302200832`
## [1] "_BlackaRot_"
## 
## $`4167453621`
## [1] "_14karrotz"
## 
## $`951160812646912000`
## [1] "Kelvin_the_D"
## 
## $`35489075`
## [1] "tcisking90"
## 
## $`781572027681472512`
## [1] "ILoveShenron"
## 
## $`805553685543534592`
## [1] "Glokingzay"
## 
## $`598792475`
## [1] "KingGreeklll"
## 
## $`3233824784`
## [1] "Epsellon"
## 
## $`2793113103`
## [1] "TheReal_Dende27"
## 
## $`4830720377`
## [1] "Syntix_"
## 
## $`730469263065133056`
## [1] "ania34009"
## 
## $`884449547275165696`
## [1] "CantStopAmani"
## 
## $`951830543024320512`
## [1] "AngelSaiyans"
## 
## $`707403763162726400`
## [1] "Crotchzapper"
## 
## $`915886861213683712`
## [1] "Wassimtlm1713"
## 
## $`721248036`
## [1] "TheRealOneEyed"
## 
## $`949773059749240832`
## [1] "Gohanblack12"
## 
## $`813168281444093952`
## [1] "owTreyalP"
## 
## $`2955699373`
## [1] "dikshantjaveri1"
## 
## $`598622943`
## [1] "furtifdor"
## 
## $`887809996649631744`
## [1] "Tha1hit"
## 
## $`1605042138`
## [1] "DarkSukiyai"
## 
## $`84764424`
## [1] "Div1neThaGod"
## 
## $`1723991556`
## [1] "LizzieRFreeman"
## 
## $`4845714045`
## [1] "AlexandreP51100"
## 
## $`1569552145`
## [1] "JackMcWade"
## 
## $`873548646066798592`
## [1] "husain_untoro"
## 
## $`127887546`
## [1] "Mellavelli"
## 
## $`835501484204830720`
## [1] "snkdemon2"
## 
## $`881575603455090688`
## [1] "logitech710"
## 
## $`941211365053624320`
## [1] "Gamingj_09"
## 
## $`939801682065551360`
## [1] "jirenthegrey0"
## 
## $`820968570834259968`
## [1] "DaNNy_BoY_0701"
## 
## $`767774292863889408`
## [1] "Vincelasalle89c"
## 
## $`941034205160591360`
## [1] "RocketGriffin"
## 
## $`3595225332`
## [1] "CristhianJaure2"
## 
## $`937448782157041664`
## [1] "MatekAnimations"
## 
## $`581563317`
## [1] "tomjserrano"
## 
## $`743914133939195904`
## [1] "resdd0006"
## 
## $`758130017805094912`
## [1] "CrazySaiyanZ"
## 
## $`2554609982`
## [1] "AmInOZ6"
## 
## $`32475880`
## [1] "ryanaleonard84"
## 
## $`775346793374777344`
## [1] "HironoHero_"
## 
## $`924239467392765952`
## [1] "AnimationsBlue"
## 
## $`930563388916322304`
## [1] "flyingsapple99"
## 
## $`919913707840442368`
## [1] "AnimHou"
## 
## $`926061061194653696`
## [1] "MASTERMEDIA11"
## 
## $`2523152406`
## [1] "ghenny_e"
## 
## $`757848650093502464`
## [1] "leonelruffino1"
## 
## $`790713908847783936`
## [1] "Trillonar123"
## 
## $`636645096`
## [1] "Foxlord32"
## 
## $`910768934206533632`
## [1] "MoksaArt"
## 
## $`917187989180157952`
## [1] "Adriannn0322"
## 
## $`916829509340553216`
## [1] "EpicAnubisxD"
## 
## $`261917373`
## [1] "CjSkywalker__"
## 
## $`2678924742`
## [1] "bkhardman92"
## 
## $`774990583496486912`
## [1] "JeffreyCubbage"
## 
## $`168379079`
## [1] "DavidAELevy"
## 
## $`895530146836480000`
## [1] "DDemon212"
## 
## $`877637451782791168`
## [1] "theRealFraggy"
## 
## $`912839926734917632`
## [1] "DamarusLewis"
## 
## $`904894495099060224`
## [1] "db2day"
## 
## $`912036305219014656`
## [1] "CabbaOfficialYT"
## 
## $`3312298100`
## [1] "kakarot151"
## 
## $`909568985699627008`
## [1] "savagerique"
## 
## $`2936790631`
## [1] "ArteagaResendiz"
## 
## $`907267904864956416`
## [1] "JessicaChan233"
## 
## $`882306018646118400`
## [1] "kashy_yt"
## 
## $`903026173768220672`
## [1] "IAmSonGoku23"
## 
## $`3643586715`
## [1] "lewdamone"
## 
## $`2800138854`
## [1] "RohitRajeev4"
## 
## $`901813442440454144`
## [1] "Zuliaji"
## 
## $`759766990894538752`
## [1] "THEREALKIDTRUNK"
## 
## $`896850476943237120`
## [1] "LMuedas"
## 
## $`2365800446`
## [1] "mahjohnson2011"
## 
## $`900084001989414912`
## [1] "ableflores4"
## 
## $`3808670488`
## [1] "malik2smoove"
## 
## $`2646108966`
## [1] "ibyhamster"
## 
## $`3298117862`
## [1] "c_espinoza_2001"
## 
## $`766704255378001920`
## [1] "Christo03554157"
## 
## $`847280072352333824`
## [1] "James_Estlund"
## 
## $`2388360097`
## [1] "kiddsuperman21"
## 
## $`3311042266`
## [1] "SwagBrax"
## 
## $`853778830468804608`
## [1] "ProdigyFlazex"
## 
## $`855659718622228480`
## [1] "bdss46955882"
## 
## $`1652183520`
## [1] "RejectionFreezy"
## 
## $`817000327182483456`
## [1] "Drako_L"
## 
## $`776868769364709376`
## [1] "x7reaper78"
## 
## $`893354923047346176`
## [1] "Gokubla71583398"
## 
## $`892844105851600896`
## [1] "shivam383"
## 
## $`892851974655401984`
## [1] "SSGJintan"
## 
## $`731764921298485248`
## [1] "yaya_child"
## 
## $`589100018`
## [1] "Infamous_Jay19"
## 
## $`3301511910`
## [1] "dayfire88"
## 
## $`891002700514590720`
## [1] "Muhamma06658750"
## 
## $`297113810`
## [1] "TransformMarvel"
## 
## $`831278625727057920`
## [1] "SnFTxGHoSt2"
## 
## $`763526063012143104`
## [1] "PriinceSinatra"
## 
## $`796867426902245376`
## [1] "Viperless33"
## 
## $`836446266439561216`
## [1] "NNameNick"
## 
## $`798625232730910720`
## [1] "Soulsilverx1"
## 
## $`2729808552`
## [1] "ivoryblondon"
## 
## $`310024279`
## [1] "itsmadalex"
## 
## $`3402955355`
## [1] "Polls4Nerds"
## 
## $`807269465297735680`
## [1] "ReezyGemini"
## 
## $`886691245904363520`
## [1] "Jakareb2001"
## 
## $`3244215218`
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## $`167403180`
## [1] "Prydzmotion"
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## $`1658394553`
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## $`250910200`
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## $`1317703278`
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## $`486156809`
## [1] "Andrewmiller537"
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## $`188182637`
## [1] "LBP_2_BEAST"

Extra informations from Tweets

trend=availableTrendLocations()
head(trend)
##        name country woeid
## 1 Worldwide             1
## 2  Winnipeg  Canada  2972
## 3    Ottawa  Canada  3369
## 4    Quebec  Canada  3444
## 5  Montreal  Canada  3534
## 6   Toronto  Canada  4118
trend
##                     name              country    woeid
## 1              Worldwide                             1
## 2               Winnipeg               Canada     2972
## 3                 Ottawa               Canada     3369
## 4                 Quebec               Canada     3444
## 5               Montreal               Canada     3534
## 6                Toronto               Canada     4118
## 7               Edmonton               Canada     8676
## 8                Calgary               Canada     8775
## 9              Vancouver               Canada     9807
## 10            Birmingham       United Kingdom    12723
## 11             Blackpool       United Kingdom    12903
## 12           Bournemouth       United Kingdom    13383
## 13              Brighton       United Kingdom    13911
## 14               Bristol       United Kingdom    13963
## 15               Cardiff       United Kingdom    15127
## 16              Coventry       United Kingdom    17044
## 17                 Derby       United Kingdom    18114
## 18             Edinburgh       United Kingdom    19344
## 19               Glasgow       United Kingdom    21125
## 20                  Hull       United Kingdom    25211
## 21                 Leeds       United Kingdom    26042
## 22             Leicester       United Kingdom    26062
## 23             Liverpool       United Kingdom    26734
## 24            Manchester       United Kingdom    28218
## 25         Middlesbrough       United Kingdom    28869
## 26             Newcastle       United Kingdom    30079
## 27            Nottingham       United Kingdom    30720
## 28              Plymouth       United Kingdom    32185
## 29            Portsmouth       United Kingdom    32452
## 30               Preston       United Kingdom    32566
## 31             Sheffield       United Kingdom    34503
## 32        Stoke-on-Trent       United Kingdom    36240
## 33               Swansea       United Kingdom    36758
## 34                London       United Kingdom    44418
## 35               Belfast       United Kingdom    44544
## 36         Santo Domingo   Dominican Republic    76456
## 37        Guatemala City            Guatemala    83123
## 38              Acapulco               Mexico   110978
## 39        Aguascalientes               Mexico   111579
## 40             Chihuahua               Mexico   115958
## 41           Mexico City               Mexico   116545
## 42         Ciudad Juarez               Mexico   116556
## 43        Nezahualcóyotl               Mexico   116564
## 44              Culiacán               Mexico   117994
## 45   Ecatepec de Morelos               Mexico   118466
## 46           Guadalajara               Mexico   124162
## 47            Hermosillo               Mexico   124785
## 48                  León               Mexico   131068
## 49                Mérida               Mexico   133327
## 50              Mexicali               Mexico   133475
## 51             Monterrey               Mexico   134047
## 52               Morelia               Mexico   134091
## 53   Naucalpan de Juárez               Mexico   134395
## 54                Puebla               Mexico   137612
## 55             Querétaro               Mexico   138045
## 56              Saltillo               Mexico   141272
## 57       San Luis Potosí               Mexico   144265
## 58               Tijuana               Mexico   149361
## 59                Toluca               Mexico   149769
## 60               Zapopan               Mexico   151582
## 61               Mendoza            Argentina   332471
## 62              Santiago                Chile   349859
## 63            Concepcion                Chile   349860
## 64            Valparaiso                Chile   349861
## 65                Bogotá             Colombia   368148
## 66                  Cali             Colombia   368149
## 67              Medellín             Colombia   368150
## 68          Barranquilla             Colombia   368151
## 69                 Quito              Ecuador   375732
## 70             Guayaquil              Ecuador   375733
## 71               Caracas            Venezuela   395269
## 72             Maracaibo            Venezuela   395270
## 73               Maracay            Venezuela   395271
## 74              Valencia            Venezuela   395272
## 75             Barcelona            Venezuela   395273
## 76        Ciudad Guayana            Venezuela   395275
## 77               Turmero            Venezuela   395277
## 78                  Lima                 Peru   418440
## 79              Brasília               Brazil   455819
## 80                 Belém               Brazil   455820
## 81        Belo Horizonte               Brazil   455821
## 82              Curitiba               Brazil   455822
## 83          Porto Alegre               Brazil   455823
## 84                Recife               Brazil   455824
## 85        Rio de Janeiro               Brazil   455825
## 86              Salvador               Brazil   455826
## 87             São Paulo               Brazil   455827
## 88              Campinas               Brazil   455828
## 89             Fortaleza               Brazil   455830
## 90               Goiânia               Brazil   455831
## 91                Manaus               Brazil   455833
## 92              São Luís               Brazil   455834
## 93             Guarulhos               Brazil   455867
## 94               Córdoba            Argentina   466861
## 95               Rosario            Argentina   466862
## 96          Barquisimeto            Venezuela   468382
## 97               Maturín            Venezuela   468384
## 98          Buenos Aires            Argentina   468739
## 99                Gdansk               Poland   493417
## 100               Kraków               Poland   502075
## 101                 Lodz               Poland   505120
## 102               Poznan               Poland   514048
## 103               Warsaw               Poland   523920
## 104              Wroclaw               Poland   526363
## 105               Vienna              Austria   551801
## 106                 Cork              Ireland   560472
## 107               Dublin              Ireland   560743
## 108               Galway              Ireland   560912
## 109             Bordeaux               France   580778
## 110                Lille               France   608105
## 111                 Lyon               France   609125
## 112            Marseille               France   610264
## 113          Montpellier               France   612977
## 114               Nantes               France   613858
## 115                Paris               France   615702
## 116               Rennes               France   619163
## 117           Strasbourg               France   627791
## 118             Toulouse               France   628886
## 119               Berlin              Germany   638242
## 120               Bremen              Germany   641142
## 121             Dortmund              Germany   645458
## 122              Dresden              Germany   645686
## 123           Dusseldorf              Germany   646099
## 124                Essen              Germany   648820
## 125            Frankfurt              Germany   650272
## 126              Hamburg              Germany   656958
## 127              Cologne              Germany   667931
## 128              Leipzig              Germany   671072
## 129               Munich              Germany   676757
## 130            Stuttgart              Germany   698064
## 131              Bologna                Italy   711080
## 132                Genoa                Italy   716085
## 133                Milan                Italy   718345
## 134               Naples                Italy   719258
## 135              Palermo                Italy   719846
## 136                 Rome                Italy   721943
## 137                Turin                Italy   725003
## 138             Den Haag          Netherlands   726874
## 139            Amsterdam          Netherlands   727232
## 140            Rotterdam          Netherlands   733075
## 141              Utrecht          Netherlands   734047
## 142            Barcelona                Spain   753692
## 143               Bilbao                Spain   754542
## 144           Las Palmas                Spain   764814
## 145               Madrid                Spain   766273
## 146               Malaga                Spain   766356
## 147               Murcia                Spain   768026
## 148                Palma                Spain   769293
## 149              Seville                Spain   774508
## 150             Valencia                Spain   776688
## 151             Zaragoza                Spain   779063
## 152               Geneva          Switzerland   782538
## 153             Lausanne          Switzerland   783058
## 154               Zurich          Switzerland   784794
## 155                Brest              Belarus   824382
## 156               Grodno              Belarus   825848
## 157                Gomel              Belarus   825978
## 158                Minsk              Belarus   834463
## 159                 Riga               Latvia   854823
## 160               Bergen               Norway   857105
## 161                 Oslo               Norway   862592
## 162           Gothenburg               Sweden   890869
## 163            Stockholm               Sweden   906057
## 164       Dnipropetrovsk              Ukraine   918981
## 165              Donetsk              Ukraine   919163
## 166              Kharkiv              Ukraine   922137
## 167                 Kyiv              Ukraine   924938
## 168                 Lviv              Ukraine   924943
## 169                Odesa              Ukraine   929398
## 170           Zaporozhye              Ukraine   939628
## 171               Athens               Greece   946738
## 172         Thessaloniki               Greece   963291
## 173               Bekasi            Indonesia  1030077
## 174                Depok            Indonesia  1032539
## 175            Pekanbaru            Indonesia  1040779
## 176             Surabaya            Indonesia  1044316
## 177             Makassar            Indonesia  1046138
## 178              Bandung            Indonesia  1047180
## 179              Jakarta            Indonesia  1047378
## 180                Medan            Indonesia  1047908
## 181            Palembang            Indonesia  1048059
## 182             Semarang            Indonesia  1048324
## 183            Tangerang            Indonesia  1048536
## 184            Singapore            Singapore  1062617
## 185                Perth            Australia  1098081
## 186             Adelaide            Australia  1099805
## 187             Brisbane            Australia  1100661
## 188             Canberra            Australia  1100968
## 189               Darwin            Australia  1101597
## 190            Melbourne            Australia  1103816
## 191               Sydney            Australia  1105779
## 192           Kitakyushu                Japan  1110809
## 193              Saitama                Japan  1116753
## 194                Chiba                Japan  1117034
## 195              Fukuoka                Japan  1117099
## 196            Hamamatsu                Japan  1117155
## 197            Hiroshima                Japan  1117227
## 198             Kawasaki                Japan  1117502
## 199                 Kobe                Japan  1117545
## 200             Kumamoto                Japan  1117605
## 201               Nagoya                Japan  1117817
## 202              Niigata                Japan  1117881
## 203           Sagamihara                Japan  1118072
## 204              Sapporo                Japan  1118108
## 205               Sendai                Japan  1118129
## 206            Takamatsu                Japan  1118285
## 207                Tokyo                Japan  1118370
## 208             Yokohama                Japan  1118550
## 209               Goyang                Korea  1130853
## 210               Yongin                Korea  1132094
## 211                Ansan                Korea  1132444
## 212              Bucheon                Korea  1132445
## 213                Busan                Korea  1132447
## 214             Changwon                Korea  1132449
## 215                Daegu                Korea  1132466
## 216              Gwangju                Korea  1132481
## 217              Incheon                Korea  1132496
## 218             Seongnam                Korea  1132559
## 219                Suwon                Korea  1132567
## 220                Ulsan                Korea  1132578
## 221                Seoul                Korea  1132599
## 222               Kajang             Malaysia  1141268
## 223                 Ipoh             Malaysia  1154679
## 224          Johor Bahru             Malaysia  1154698
## 225                Klang             Malaysia  1154726
## 226         Kuala Lumpur             Malaysia  1154781
## 227              Calocan          Philippines  1167715
## 228               Makati          Philippines  1180689
## 229                Pasig          Philippines  1187115
## 230               Taguig          Philippines  1195098
## 231             Antipolo          Philippines  1198785
## 232       Cagayan de Oro          Philippines  1199002
## 233            Cebu City          Philippines  1199079
## 234           Davao City          Philippines  1199136
## 235               Manila          Philippines  1199477
## 236          Quezon City          Philippines  1199682
## 237       Zamboanga City          Philippines  1199980
## 238              Bangkok             Thailand  1225448
## 239                Hanoi              Vietnam  1236594
## 240            Hai Phong              Vietnam  1236690
## 241              Can Tho              Vietnam  1252351
## 242              Da Nang              Vietnam  1252376
## 243     Ho Chi Minh City              Vietnam  1252431
## 244              Algiers              Algeria  1253079
## 245                Accra                Ghana  1326075
## 246               Kumasi                Ghana  1330595
## 247           Benin City              Nigeria  1387660
## 248               Ibadan              Nigeria  1393672
## 249               Kaduna              Nigeria  1396439
## 250                 Kano              Nigeria  1396803
## 251                Lagos              Nigeria  1398823
## 252        Port Harcourt              Nigeria  1404447
## 253                 Giza                Egypt  1521643
## 254                Cairo                Egypt  1521894
## 255           Alexandria                Egypt  1522006
## 256              Mombasa                Kenya  1528335
## 257              Nairobi                Kenya  1528488
## 258               Durban         South Africa  1580913
## 259         Johannesburg         South Africa  1582504
## 260       Port Elizabeth         South Africa  1586614
## 261             Pretoria         South Africa  1586638
## 262               Soweto         South Africa  1587677
## 263            Cape Town         South Africa  1591691
## 264               Medina         Saudi Arabia  1937801
## 265               Dammam         Saudi Arabia  1939574
## 266               Riyadh         Saudi Arabia  1939753
## 267               Jeddah         Saudi Arabia  1939873
## 268                Mecca         Saudi Arabia  1939897
## 269              Sharjah United Arab Emirates  1940119
## 270            Abu Dhabi United Arab Emirates  1940330
## 271                Dubai United Arab Emirates  1940345
## 272                Haifa               Israel  1967449
## 273             Tel Aviv               Israel  1968212
## 274            Jerusalem               Israel  1968222
## 275                Amman               Jordan  1968902
## 276          Chelyabinsk               Russia  1997422
## 277           Khabarovsk               Russia  2018708
## 278            Krasnodar               Russia  2028717
## 279          Krasnoyarsk               Russia  2029043
## 280               Samara               Russia  2077746
## 281             Voronezh               Russia  2108210
## 282        Yekaterinburg               Russia  2112237
## 283              Irkutsk               Russia  2121040
## 284                Kazan               Russia  2121267
## 285               Moscow               Russia  2122265
## 286      Nizhny Novgorod               Russia  2122471
## 287          Novosibirsk               Russia  2122541
## 288                 Omsk               Russia  2122641
## 289                 Perm               Russia  2122814
## 290        Rostov-on-Don               Russia  2123177
## 291     Saint Petersburg               Russia  2123260
## 292                  Ufa               Russia  2124045
## 293          Vladivostok               Russia  2124288
## 294            Volgograd               Russia  2124298
## 295              Karachi             Pakistan  2211096
## 296               Lahore             Pakistan  2211177
## 297               Multan             Pakistan  2211269
## 298           Rawalpindi             Pakistan  2211387
## 299           Faisalabad             Pakistan  2211574
## 300               Muscat                 Oman  2268284
## 301               Nagpur                India  2282863
## 302              Lucknow                India  2295377
## 303               Kanpur                India  2295378
## 304                Patna                India  2295381
## 305               Ranchi                India  2295383
## 306              Kolkata                India  2295386
## 307             Srinagar                India  2295387
## 308             Amritsar                India  2295388
## 309               Jaipur                India  2295401
## 310            Ahmedabad                India  2295402
## 311               Rajkot                India  2295404
## 312                Surat                India  2295405
## 313               Bhopal                India  2295407
## 314               Indore                India  2295408
## 315                Thane                India  2295410
## 316               Mumbai                India  2295411
## 317                 Pune                India  2295412
## 318            Hyderabad                India  2295414
## 319            Bangalore                India  2295420
## 320              Chennai                India  2295424
## 321               Mersin               Turkey  2323778
## 322                Adana               Turkey  2343678
## 323               Ankara               Turkey  2343732
## 324              Antalya               Turkey  2343733
## 325                Bursa               Turkey  2343843
## 326           Diyarbakir               Turkey  2343932
## 327            Eskisehir               Turkey  2343980
## 328            Gaziantep               Turkey  2343999
## 329             Istanbul               Turkey  2344116
## 330                Izmir               Turkey  2344117
## 331              Kayseri               Turkey  2344174
## 332                Konya               Turkey  2344210
## 333              Okinawa                Japan  2345896
## 334              Daejeon                Korea  2345975
## 335             Auckland          New Zealand  2348079
## 336          Albuquerque        United States  2352824
## 337              Atlanta        United States  2357024
## 338               Austin        United States  2357536
## 339            Baltimore        United States  2358820
## 340          Baton Rouge        United States  2359991
## 341           Birmingham        United States  2364559
## 342               Boston        United States  2367105
## 343            Charlotte        United States  2378426
## 344              Chicago        United States  2379574
## 345           Cincinnati        United States  2380358
## 346            Cleveland        United States  2381475
## 347     Colorado Springs        United States  2383489
## 348             Columbus        United States  2383660
## 349     Dallas-Ft. Worth        United States  2388929
## 350               Denver        United States  2391279
## 351              Detroit        United States  2391585
## 352              El Paso        United States  2397816
## 353               Fresno        United States  2407517
## 354           Greensboro        United States  2414469
## 355           Harrisburg        United States  2418046
## 356             Honolulu        United States  2423945
## 357              Houston        United States  2424766
## 358         Indianapolis        United States  2427032
## 359              Jackson        United States  2428184
## 360         Jacksonville        United States  2428344
## 361          Kansas City        United States  2430683
## 362            Las Vegas        United States  2436704
## 363           Long Beach        United States  2441472
## 364          Los Angeles        United States  2442047
## 365           Louisville        United States  2442327
## 366              Memphis        United States  2449323
## 367                 Mesa        United States  2449808
## 368                Miami        United States  2450022
## 369            Milwaukee        United States  2451822
## 370          Minneapolis        United States  2452078
## 371            Nashville        United States  2457170
## 372            New Haven        United States  2458410
## 373          New Orleans        United States  2458833
## 374             New York        United States  2459115
## 375              Norfolk        United States  2460389
## 376        Oklahoma City        United States  2464592
## 377                Omaha        United States  2465512
## 378              Orlando        United States  2466256
## 379         Philadelphia        United States  2471217
## 380              Phoenix        United States  2471390
## 381           Pittsburgh        United States  2473224
## 382             Portland        United States  2475687
## 383           Providence        United States  2477058
## 384              Raleigh        United States  2478307
## 385             Richmond        United States  2480894
## 386           Sacramento        United States  2486340
## 387            St. Louis        United States  2486982
## 388       Salt Lake City        United States  2487610
## 389          San Antonio        United States  2487796
## 390            San Diego        United States  2487889
## 391        San Francisco        United States  2487956
## 392             San Jose        United States  2488042
## 393              Seattle        United States  2490383
## 394          Tallahassee        United States  2503713
## 395                Tampa        United States  2503863
## 396               Tucson        United States  2508428
## 397       Virginia Beach        United States  2512636
## 398           Washington        United States  2514815
## 399                Osaka                Japan 15015370
## 400                Kyoto                Japan 15015372
## 401                Delhi                India 20070458
## 402 United Arab Emirates United Arab Emirates 23424738
## 403              Algeria              Algeria 23424740
## 404            Argentina            Argentina 23424747
## 405            Australia            Australia 23424748
## 406              Austria              Austria 23424750
## 407              Bahrain              Bahrain 23424753
## 408              Belgium              Belgium 23424757
## 409              Belarus              Belarus 23424765
## 410               Brazil               Brazil 23424768
## 411               Canada               Canada 23424775
## 412                Chile                Chile 23424782
## 413             Colombia             Colombia 23424787
## 414              Denmark              Denmark 23424796
## 415   Dominican Republic   Dominican Republic 23424800
## 416              Ecuador              Ecuador 23424801
## 417                Egypt                Egypt 23424802
## 418              Ireland              Ireland 23424803
## 419               France               France 23424819
## 420                Ghana                Ghana 23424824
## 421              Germany              Germany 23424829
## 422               Greece               Greece 23424833
## 423            Guatemala            Guatemala 23424834
## 424            Indonesia            Indonesia 23424846
## 425                India                India 23424848
## 426               Israel               Israel 23424852
## 427                Italy                Italy 23424853
## 428                Japan                Japan 23424856
## 429               Jordan               Jordan 23424860
## 430                Kenya                Kenya 23424863
## 431                Korea                Korea 23424868
## 432               Kuwait               Kuwait 23424870
## 433              Lebanon              Lebanon 23424873
## 434               Latvia               Latvia 23424874
## 435                 Oman                 Oman 23424898
## 436               Mexico               Mexico 23424900
## 437             Malaysia             Malaysia 23424901
## 438              Nigeria              Nigeria 23424908
## 439          Netherlands          Netherlands 23424909
## 440               Norway               Norway 23424910
## 441          New Zealand          New Zealand 23424916
## 442                 Peru                 Peru 23424919
## 443             Pakistan             Pakistan 23424922
## 444               Poland               Poland 23424923
## 445               Panama               Panama 23424924
## 446             Portugal             Portugal 23424925
## 447                Qatar                Qatar 23424930
## 448          Philippines          Philippines 23424934
## 449          Puerto Rico          Puerto Rico 23424935
## 450               Russia               Russia 23424936
## 451         Saudi Arabia         Saudi Arabia 23424938
## 452         South Africa         South Africa 23424942
## 453            Singapore            Singapore 23424948
## 454                Spain                Spain 23424950
## 455               Sweden               Sweden 23424954
## 456          Switzerland          Switzerland 23424957
## 457             Thailand             Thailand 23424960
## 458               Turkey               Turkey 23424969
## 459       United Kingdom       United Kingdom 23424975
## 460              Ukraine              Ukraine 23424976
## 461        United States        United States 23424977
## 462            Venezuela            Venezuela 23424982
## 463              Vietnam              Vietnam 23424984
## 464             Petaling             Malaysia 56013632
## 465          Hulu Langat             Malaysia 56013645
## 466                 Ahsa         Saudi Arabia 56120136
## 467              Okayama                Japan 90036018

Trending Tweets in Mexico

getTrends(116545)
##                     name
## 1         #MexicoVsCorea
## 2                  Layun
## 3                 Lukaku
## 4                 Hazard
## 5                Bélgica
## 6  #ElDesmadreDelTRIunfo
## 7                #BELTUN
## 8              Batshuayi
## 9              De Bruyne
## 10             El Chucky
## 11                 Túnez
## 12   #VamosMéxicoVotaPRI
## 13            #Pride2018
## 14       Spartak Stadium
## 15               Salcedo
## 16             Pesquería
## 17              Carrasco
## 18             #FrenchGP
##                                                       url
## 1            http://twitter.com/search?q=%23MexicoVsCorea
## 2                       http://twitter.com/search?q=Layun
## 3                      http://twitter.com/search?q=Lukaku
## 4                      http://twitter.com/search?q=Hazard
## 5                http://twitter.com/search?q=B%C3%A9lgica
## 6     http://twitter.com/search?q=%23ElDesmadreDelTRIunfo
## 7                   http://twitter.com/search?q=%23BELTUN
## 8                   http://twitter.com/search?q=Batshuayi
## 9             http://twitter.com/search?q=%22De+Bruyne%22
## 10            http://twitter.com/search?q=%22El+Chucky%22
## 11                 http://twitter.com/search?q=T%C3%BAnez
## 12 http://twitter.com/search?q=%23VamosM%C3%A9xicoVotaPRI
## 13               http://twitter.com/search?q=%23Pride2018
## 14      http://twitter.com/search?q=%22Spartak+Stadium%22
## 15                    http://twitter.com/search?q=Salcedo
## 16             http://twitter.com/search?q=Pesquer%C3%ADa
## 17                   http://twitter.com/search?q=Carrasco
## 18                http://twitter.com/search?q=%23FrenchGP
##                         query  woeid
## 1            %23MexicoVsCorea 116545
## 2                       Layun 116545
## 3                      Lukaku 116545
## 4                      Hazard 116545
## 5                B%C3%A9lgica 116545
## 6     %23ElDesmadreDelTRIunfo 116545
## 7                   %23BELTUN 116545
## 8                   Batshuayi 116545
## 9             %22De+Bruyne%22 116545
## 10            %22El+Chucky%22 116545
## 11                 T%C3%BAnez 116545
## 12 %23VamosM%C3%A9xicoVotaPRI 116545
## 13               %23Pride2018 116545
## 14      %22Spartak+Stadium%22 116545
## 15                    Salcedo 116545
## 16             Pesquer%C3%ADa 116545
## 17                   Carrasco 116545
## 18                %23FrenchGP 116545
getTrends(1)
##                                                                                                                                            name
## 1                                                                                                                                #MexicoVsCorea
## 2                                                                                                                                       #BELTUN
## 3                                                            #<U+062A><U+0648><U+0646><U+0633>_<U+0628><U+0644><U+062C><U+064A><U+0643><U+0627>
## 4                                                                                                                                      #Maltepe
## 5                                                                                                                                     Batshuayi
## 6                                                                                                                      <U+C7A5><U+D604><U+C218>
## 7                                                                                                                                     #FrenchGP
## 8                                                                                                                      <U+BA55><U+C2DC><U+CF54>
## 9                                                                                                                                        Hazard
## 10                                                                                                                                Douglas Costa
## 11                                                                                                                                        Layun
## 12                                                                                                                     <U+C190><U+D765><U+BBFC>
## 13                                                                                                                            <U+9707><U+5EA6>3
## 14                                                                                                             <U+D328><U+B110><U+D2F0><U+D0A5>
## 15                                                                            <U+0639><U+0644><U+064A> <U+0645><U+0639><U+0644><U+0648><U+0644>
## 16                                                                                                             <U+30D9><U+30EB><U+30AE><U+30FC>
## 17                                                                                                                                       Khazri
## 18                                                                                                                                     Grosjean
## 19                                                                                                                                Merchant Navy
## 20                                                                                             <U+30E1><U+30AD><U+30B7><U+30B3><U+5148><U+5236>
## 21                                                                                                                     <U+B370><U+C774><U+BA3C>
## 22                                                                                                                                   Vamos Vela
## 23                                                                                                                            #PeoplesVoteMarch
## 24                                                                                                                             #IyikiErdoganVar
## 25                                                                                                                             #SaturdayMorning
## 26                                                                                                                                       #23Jun
## 27                                                                                                                                #OylarSaadete
## 28                                                                                                                              #GeliyorAksener
## 29 #<U+0647><U+0644>_<U+0627><U+0633><U+062A><U+063A><U+0641><U+0631><U+062A>_<U+0631><U+0628><U+0643>_<U+0627><U+0644><U+064A><U+0648><U+0645>
## 30                                                                                                                                       #AMJoy
## 31                                                                                                                            #AsAChildIThought
## 32                                                  #<U+0627><U+0631><U+062D><U+0644>_<U+064A><U+0627>_<U+0633><U+064A><U+0633><U+064A><U+064A>
## 33                                                                                                                            #MMKIdentityTheft
## 34                                                                                                                            #EXO_LotteConcert
## 35                                                                                                                                #UFCSingapore
## 36                                                                                                                         #OyKullanirkenUnutma
## 37                                    #<U+3042><U+306A><U+305F><U+306F><U+3044><U+304F><U+3064><U+306B><U+898B><U+3089><U+308C><U+3066><U+308B>
## 38                                                                                                                     #PartyChilensisFtChexico
## 39                                                                                                                                   #ggo_anime
## 40                                                                                                                           #NichkhunOfTheYear
##                                                                                                                                                     url
## 1                                                                                                          http://twitter.com/search?q=%23MexicoVsCorea
## 2                                                                                                                 http://twitter.com/search?q=%23BELTUN
## 3                                                          http://twitter.com/search?q=%23%D8%AA%D9%88%D9%86%D8%B3_%D8%A8%D9%84%D8%AC%D9%8A%D9%83%D8%A7
## 4                                                                                                                http://twitter.com/search?q=%23Maltepe
## 5                                                                                                                 http://twitter.com/search?q=Batshuayi
## 6                                                                                               http://twitter.com/search?q=%EC%9E%A5%ED%98%84%EC%88%98
## 7                                                                                                               http://twitter.com/search?q=%23FrenchGP
## 8                                                                                               http://twitter.com/search?q=%EB%A9%95%EC%8B%9C%EC%BD%94
## 9                                                                                                                    http://twitter.com/search?q=Hazard
## 10                                                                                                      http://twitter.com/search?q=%22Douglas+Costa%22
## 11                                                                                                                    http://twitter.com/search?q=Layun
## 12                                                                                              http://twitter.com/search?q=%EC%86%90%ED%9D%A5%EB%AF%BC
## 13                                                                                                      http://twitter.com/search?q=%E9%9C%87%E5%BA%A63
## 14                                                                                     http://twitter.com/search?q=%ED%8C%A8%EB%84%90%ED%8B%B0%ED%82%A5
## 15                                                                  http://twitter.com/search?q=%22%D8%B9%D9%84%D9%8A+%D9%85%D8%B9%D9%84%D9%88%D9%84%22
## 16                                                                                     http://twitter.com/search?q=%E3%83%99%E3%83%AB%E3%82%AE%E3%83%BC
## 17                                                                                                                   http://twitter.com/search?q=Khazri
## 18                                                                                                                 http://twitter.com/search?q=Grosjean
## 19                                                                                                      http://twitter.com/search?q=%22Merchant+Navy%22
## 20                                                                   http://twitter.com/search?q=%E3%83%A1%E3%82%AD%E3%82%B7%E3%82%B3%E5%85%88%E5%88%B6
## 21                                                                                              http://twitter.com/search?q=%EB%8D%B0%EC%9D%B4%EB%A8%BC
## 22                                                                                                         http://twitter.com/search?q=%22Vamos+Vela%22
## 23                                                                                                      http://twitter.com/search?q=%23PeoplesVoteMarch
## 24                                                                                             http://twitter.com/search?q=%23%C4%B0yikiErdo%C4%9FanVar
## 25                                                                                                       http://twitter.com/search?q=%23SaturdayMorning
## 26                                                                                                                 http://twitter.com/search?q=%2323Jun
## 27                                                                                                          http://twitter.com/search?q=%23OylarSaadete
## 28                                                                                                   http://twitter.com/search?q=%23GeliyorAk%C5%9Fener
## 29             http://twitter.com/search?q=%23%D9%87%D9%84_%D8%A7%D8%B3%D8%AA%D8%BA%D9%81%D8%B1%D8%AA_%D8%B1%D8%A8%D9%83_%D8%A7%D9%84%D9%8A%D9%88%D9%85
## 30                                                                                                                 http://twitter.com/search?q=%23AMJoy
## 31                                                                                                      http://twitter.com/search?q=%23AsAChildIThought
## 32                                                  http://twitter.com/search?q=%23%D8%A7%D8%B1%D8%AD%D9%84_%D9%8A%D8%A7_%D8%B3%D9%8A%D8%B3%D9%8A%D9%8A
## 33                                                                                                      http://twitter.com/search?q=%23MMKIdentityTheft
## 34                                                                                                      http://twitter.com/search?q=%23EXO_LotteConcert
## 35                                                                                                          http://twitter.com/search?q=%23UFCSingapore
## 36                                                                                              http://twitter.com/search?q=%23OyKullan%C4%B1rkenUnutma
## 37 http://twitter.com/search?q=%23%E3%81%82%E3%81%AA%E3%81%9F%E3%81%AF%E3%81%84%E3%81%8F%E3%81%A4%E3%81%AB%E8%A6%8B%E3%82%89%E3%82%8C%E3%81%A6%E3%82%8B
## 38                                                                                               http://twitter.com/search?q=%23PartyChilensisFtChexico
## 39                                                                                                             http://twitter.com/search?q=%23ggo_anime
## 40                                                                                                     http://twitter.com/search?q=%23NichkhunOfTheYear
##                                                                                                                       query
## 1                                                                                                          %23MexicoVsCorea
## 2                                                                                                                 %23BELTUN
## 3                                                          %23%D8%AA%D9%88%D9%86%D8%B3_%D8%A8%D9%84%D8%AC%D9%8A%D9%83%D8%A7
## 4                                                                                                                %23Maltepe
## 5                                                                                                                 Batshuayi
## 6                                                                                               %EC%9E%A5%ED%98%84%EC%88%98
## 7                                                                                                               %23FrenchGP
## 8                                                                                               %EB%A9%95%EC%8B%9C%EC%BD%94
## 9                                                                                                                    Hazard
## 10                                                                                                      %22Douglas+Costa%22
## 11                                                                                                                    Layun
## 12                                                                                              %EC%86%90%ED%9D%A5%EB%AF%BC
## 13                                                                                                      %E9%9C%87%E5%BA%A63
## 14                                                                                     %ED%8C%A8%EB%84%90%ED%8B%B0%ED%82%A5
## 15                                                                  %22%D8%B9%D9%84%D9%8A+%D9%85%D8%B9%D9%84%D9%88%D9%84%22
## 16                                                                                     %E3%83%99%E3%83%AB%E3%82%AE%E3%83%BC
## 17                                                                                                                   Khazri
## 18                                                                                                                 Grosjean
## 19                                                                                                      %22Merchant+Navy%22
## 20                                                                   %E3%83%A1%E3%82%AD%E3%82%B7%E3%82%B3%E5%85%88%E5%88%B6
## 21                                                                                              %EB%8D%B0%EC%9D%B4%EB%A8%BC
## 22                                                                                                         %22Vamos+Vela%22
## 23                                                                                                      %23PeoplesVoteMarch
## 24                                                                                             %23%C4%B0yikiErdo%C4%9FanVar
## 25                                                                                                       %23SaturdayMorning
## 26                                                                                                                 %2323Jun
## 27                                                                                                          %23OylarSaadete
## 28                                                                                                   %23GeliyorAk%C5%9Fener
## 29             %23%D9%87%D9%84_%D8%A7%D8%B3%D8%AA%D8%BA%D9%81%D8%B1%D8%AA_%D8%B1%D8%A8%D9%83_%D8%A7%D9%84%D9%8A%D9%88%D9%85
## 30                                                                                                                 %23AMJoy
## 31                                                                                                      %23AsAChildIThought
## 32                                                  %23%D8%A7%D8%B1%D8%AD%D9%84_%D9%8A%D8%A7_%D8%B3%D9%8A%D8%B3%D9%8A%D9%8A
## 33                                                                                                      %23MMKIdentityTheft
## 34                                                                                                      %23EXO_LotteConcert
## 35                                                                                                          %23UFCSingapore
## 36                                                                                              %23OyKullan%C4%B1rkenUnutma
## 37 %23%E3%81%82%E3%81%AA%E3%81%9F%E3%81%AF%E3%81%84%E3%81%8F%E3%81%A4%E3%81%AB%E8%A6%8B%E3%82%89%E3%82%8C%E3%81%A6%E3%82%8B
## 38                                                                                               %23PartyChilensisFtChexico
## 39                                                                                                             %23ggo_anime
## 40                                                                                                     %23NichkhunOfTheYear
##    woeid
## 1      1
## 2      1
## 3      1
## 4      1
## 5      1
## 6      1
## 7      1
## 8      1
## 9      1
## 10     1
## 11     1
## 12     1
## 13     1
## 14     1
## 15     1
## 16     1
## 17     1
## 18     1
## 19     1
## 20     1
## 21     1
## 22     1
## 23     1
## 24     1
## 25     1
## 26     1
## 27     1
## 28     1
## 29     1
## 30     1
## 31     1
## 32     1
## 33     1
## 34     1
## 35     1
## 36     1
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## 38     1
## 39     1
## 40     1