london_murders <- structure(list(forename = structure(c(65L, 1L, 102L, 603L, 36L, 562L, 146L, 410L, 290L, 440L, 62L, 602L, 365L, 102L, 392L, 473L, 390L, 57L, 600L, 525L, 417L, 414L, 462L, 236L, 67L, 409L, 624L, 369L, 27L, 173L, 110L, 418L, 63L, 495L, 331L, 301L, 353L, 405L, 433L, 247L, 400L, 412L, 366L, 232L, 295L, 526L, 658L, 419L, 100L, 437L, 39L, 109L, 259L, 522L, 282L, 183L, 234L, 433L, 485L, 560L, 237L, 134L, 338L, 476L, 50L, 518L, 223L, 298L, 502L, 255L, 332L, 126L, 477L, 461L, 341L, 228L, 544L, 614L, 229L, 26L, 393L, 202L, 34L, 294L, 605L, 569L, 655L, 458L, 359L, 130L, 307L, 22L, 159L, 307L, 274L, 117L, 317L, 559L, 505L, 125L, 381L, 302L, 497L, 555L, 485L, 541L, 596L, 485L, 300L, 404L, 403L, 241L, 601L, 233L, 563L, 90L, 589L, 431L, 201L, 475L, 150L, 304L, 633L, 380L, 135L, 657L, 273L, 627L, 117L, 221L, 575L, 153L, 573L, 269L, 577L, 81L, 477L, 32L, 520L, 125L, 491L, 598L, 80L, 417L, 48L, 283L, 569L, 261L, 176L, 313L, 211L, 20L, 243L, 51L, 123L, 477L, 581L, 169L, 350L, 540L, 158L, 430L, 485L, 339L, 156L, 273L, 250L, 84L, 482L, 270L, 455L, 186L, 569L, 56L, 107L, 131L, 43L, 597L, 306L, 92L, 417L, 205L, 517L, 286L, 498L, 481L, 328L, 48L, 130L, 303L, 277L, 263L, 363L, 417L, 636L, 10L, 111L, 609L, 191L, 399L, 403L, 512L, 231L, 618L, 97L, 342L, 11L, 582L, 276L, 570L, 209L, 238L, 346L, 477L, 42L, 152L, 459L, 659L, 11L, 240L, 271L, 29L, 66L, 629L, 398L, 408L, 425L, 434L, 477L, 151L, 592L, 569L, 119L, 38L, 403L, 513L, 644L, 423L, 253L, 16L, 87L, 507L, 462L, 208L, 213L, 262L, 490L, 469L, 154L, 359L, 557L, 327L, 163L, 43L, 88L, 426L, 71L, 405L, 8L, 357L, 451L, 128L, 148L, 428L, 391L, 2L, 343L, 262L, 9L, 256L, 643L, 365L, 405L, 44L, 475L, 452L, 121L, 178L, 311L, 141L, 485L, 429L, 125L, 385L, 566L, 573L, 571L, 249L, 433L, 506L, 443L, 307L, 457L, 645L, 405L, 441L, 44L, 371L, 144L, 198L, 155L, 117L, 144L, 438L, 303L, 386L, 514L, 139L, 512L, 389L, 642L, 403L, 78L, 486L, 200L, 540L, 162L, 72L, 323L, 362L, 175L, 399L, 73L, 94L, 319L, 179L, 417L, 567L, 281L, 79L, 74L, 125L, 321L, 142L, 450L, 235L, 648L, 184L, 170L, 336L, 265L, 375L, 264L, 303L, 193L, 125L, 351L, 331L, 28L, 574L, 168L, 578L, 287L, 617L, 373L, 12L, 167L, 653L, 656L, 241L, 23L, 421L, 195L, 417L, 44L, 457L, 406L, 93L, 590L, 267L, 37L, 137L, 335L, 77L, 61L, 53L, 108L, 630L, 230L, 370L, 652L, 268L, 218L, 125L, 75L, 631L, 423L, 607L, 383L, 326L, 44L, 101L, 288L, 573L, 523L, 519L, 568L, 262L, 550L, 515L, 464L, 545L, 547L, 272L, 52L, 530L, 599L, 436L, 331L, 7L, 125L, 496L, 293L, 71L, 356L, 194L, 625L, 224L, 133L, 546L, 54L, 152L, 204L, 415L, 647L, 14L, 312L, 191L, 166L, 587L, 494L, 114L, 559L, 334L, 483L, 203L, 85L, 39L, 132L, 527L, 340L, 337L, 460L, 297L, 180L, 94L, 309L, 15L, 549L, 402L, 422L, 467L, 125L, 214L, 217L, 216L, 542L, 112L, 360L, 99L, 416L, 174L, 516L, 556L, 104L, 54L, 606L, 591L, 97L, 382L, 452L, 446L, 318L, 125L, 275L, 616L, 508L, 140L, 593L, 103L, 68L, 572L, 117L, 40L, 129L, 111L, 493L, 125L, 595L, 76L, 177L, 521L, 554L, 439L, 584L, 654L, 569L, 69L, 612L, 352L, 296L, 504L, 552L, 116L, 622L, 200L, 347L, 417L, 305L, 354L, 548L, 479L, 106L, 348L, 501L, 210L, 303L, 580L, 55L, 125L, 628L, 4L, 98L, 610L, 241L, 214L, 17L, 411L, 608L, 477L, 83L, 117L, 258L, 303L, 25L, 102L, 122L, 534L, 477L, 5L, 11L, 124L, 634L, 243L, 260L, 355L, 424L, 199L, 44L, 470L, 320L, 200L, 635L, 30L, 394L, 447L, 171L, 535L, 445L, 164L, 125L, 149L, 527L, 156L, 278L, 448L, 452L, 47L, 85L, 125L, 117L, 611L, 200L, 354L, 200L, 157L, 585L, 484L, 39L, 310L, 161L, 372L, 531L, 241L, 11L, 96L, 358L, 66L, 165L, 465L, 82L, 208L, 466L, 537L, 144L, 378L, 58L, 441L, 441L, 480L, 509L, 71L, 117L, 44L, 136L, 553L, 95L, 196L, 451L, 423L, 637L, 515L, 442L, 539L, 395L, 487L, 127L, 528L, 308L, 59L, 123L, 400L, 190L, 388L, 576L, 620L, 252L, 189L, 21L, 403L, 64L, 468L, 225L, 285L, 401L, 325L, 3L, 91L, 435L, 244L, 35L, 182L, 143L, 220L, 239L, 185L, 215L, 33L, 588L, 147L, 403L, 222L, 492L, 174L, 314L, 242L, 569L, 529L, 634L, 515L, 417L, 97L, 207L, 117L, 452L, 329L, 515L, 457L, 303L, 397L, 248L, 291L, 118L, 475L, 409L, 176L, 533L, 254L, 478L, 115L, 619L, 417L, 453L, 649L, 145L, 18L, 631L, 255L, 456L, 471L, 364L, 485L, 219L, 36L, 393L, 535L, 613L, 583L, 279L, 49L, 474L, 462L, 212L, 511L, 417L, 70L, 226L, 508L, 246L, 558L, 333L, 36L, 85L, 244L, 361L, 293L, 532L, 407L, 384L, 377L, 568L, 262L, 543L, 359L, 632L, 280L, 368L, 192L, 472L, 569L, 586L, 290L, 172L, 573L, 639L, 257L, 120L, 396L, 463L, 432L, 46L, 345L, 586L, 636L, 289L, 187L, 477L, 623L, 188L, 315L, 373L, 638L, 417L, 316L, 181L, 117L, 245L, 322L, 45L, 374L, 349L, 561L, 113L, 524L, 532L, 503L, 474L, 24L, 197L, 565L, 536L, 417L, 499L, 579L, 359L, 489L, 376L, 641L, 160L, 23L, 323L, 640L, 344L, 454L, 251L, 138L, 292L, 427L, 650L, 481L, 379L, 13L, 631L, 500L, 266L, 594L, 60L, 227L, 1L, 19L, 105L, 564L, 449L, 102L, 417L, 551L, 538L, 387L, 330L, 488L, 39L, 39L, 41L, 89L, 646L, 206L, 44L, 444L, 621L, 86L, 284L, 626L, 171L, 117L, 615L, 604L, 510L, 600L, 6L, 31L, 651L, 477L, 324L, 367L, 299L, 573L, 413L, 420L), .Label = c("Aaron", "Abdala", "Abdel SalemHassan", "Abdulkarim", "Abdullah Barre", "Abdullahi", "Abi", "Abu", "Abukah", "Acioli Pariz", "Adam", "Ade", "Aden", "Adnan", "Adrian Jair", "Ahmed", "Ahmet", "Ailton", "Aiper", "Aivar", "Ajit", "Akim Akin Jidie", "Alan", "Albert", "Alcan", "Alex Mulumba", "Alexandre Madeira", "Alexsejs", "Alfred Christopher", "Ali", "Alice", "Alison Marie", "Aliza Ahmed", "Allan", "Alvydas", "Amanda", "Amro", "Anas", "Andrew", "Andrew James", "Andrzej", "Anhar", "Anika", "Anthony", "Anthony John", "Anthony Shino", "AnthonyDeniz Edwin", "Anton", "Antonina", "Aqibullah", "Arian", "Arsema", "Arulanantham", "Ashley", "Atef", "Atiyebi Victor", "Avni", "Ayodele", "Aysel", "Badi", "Bakari", "Balbir", "Banaz", "Bandar", "Barrington Derrick", "Barry", "Barry Michael", "BarryRobert", "Bartosz", "Beata Agnieszka", "Ben", "Betty", "Bienda", "Billy", "Bishal", "Bobby", "Bohdan", "Bonnie", "Brendan", "Brian", "Brian Paul", "Cam", "Camille", "Cammille", "Carl", "Carlos", "Carlos Andres", "CarlosEduardo", "Carlton Leonard", "Carmelite", "Carmen", "Catherine", "Cergio", "Charles", "Charles ArthurWilli", "Charles Stuart", "Charlie", "Chelsea", "Chelsey", "Cheryl Irene", "Christina", "Christopher", "Christopher Paul", "Cima", "Clarence Nil", "Clifford", "Clive", "Colin", "Coline", "Colleen", "Craig", "Craig Steven", "Csaba", "Curtis Richard", "Czarina Laura", "Damion", "Daniel", "Daniel Omari", "Danielle", "Danny", "Daraj", "Darcy", "Darren", "Darryl", "David", "David Benjamin", "David Charles George", "David Richard", "Davion", "Dean", "Dean Rashid", "DeannaLouise", "Dee", "Deivinas", "Delius", "Destiny", "Devoe", "Devon", "Diane", "Dilip", "Dilwar", "Dipo", "Don", "Donald", "Donna Yvonne", "Doreen", "Dorothy", "Duane", "Duncan", "Duncan Charles", "Dwaine", "Dylan", "Eddie", "Eduardo", "Edvin", "Edward", "Edward John", "Edwin", "Egeli", "Eileen", "Ekram", "Eliatamby", "Elide", "Elif", "Elizabeth", "Elliot", "Elouise", "Emma", "Emmanuel", "Enrique Daniel", "Eric", "Erik", "Ernest", "Errol", "Etem", "Eugene", "Eveline", "Evren", "Ewa", "Ezcekiel", "Ezekiel", "Ezra", "Fabian", "Faridon", "Fathi", "Ferozur", "Fiza", "Fletcher", "Frank", "Frazer", "Frederick", "Frell", "Fuad", "Gabriel", "Gabriel Gustavo", "Gaeta", "Gagandip", "Gareth", "Garry", "Gary", "GaryMark", "GarySteven", "Gemma", "Genadijis", "Genina", "Genson", "Geoffrey", "George", "George Arthur", "Gerald", "Gerald Michael", "Ghada", "Ghiass", "Gloria", "Godwin", "Gordon", "Graham", "Graham Michael", "Grazyna", "Gulistan", "Gurinder", "Gurmall Singh", "Hamidullah", "Hamouda", "Hannah", "Harbharjan", "Harjit", "Harminder", "Harnak", "Harry", "Harsh", "Harvey", "Hassan", "Hayder", "Henry", "Henry Kwame", "Hodan", "Howard Uriah", "Howarun", "Hylene", "I an", "I ndra", "Ian", "Ibrahim", "Igor", "Imran", "Inderpal", "Irene", "Iris", "Isaac Kofi", "Isaiah", "Isschan", "Ivars", "Jaabe", "Jack", "Jackie", "Jacqueline", "Jade Gavin", "Jaden Chimaobi", "Jahmal", "Jamal", "James", "James Andre", "James Anthony", "James Richard", "James William", "Jamie", "Jams", "Jan", "Janelle", "Janet", "Janusz", "Jason", "Jason Alwyn Freddric", "Jason Joele", "Jaspreet", "Javarie", "Jayden", "Jaypee Sunnes", "Jayson", "Jenya", "Jeriel Okechukwu", "Jerome", "Jerry", "Jessie Elouise", "Jevon", "Jill", "Jimmy", "Jitka", "Joan", "Joan Helen", "Joelle", "John", "John Cooper", "John Michael", "John Nii Kescu", "Johnathan", "Johnny", "Jonathan Anthony", "Jonathan Mclean", "Jordan", "Josenir", "Joseph", "Joseph Robert", "Joseph Stelmore", "Juli", "Julian", "Julie", "Julie Marie", "JuniorPerry", "Jurij", "Jusna", "Kam Fun", "Karimot Olatoun Agne", "Kartikkumar", "Kasey", "Kashmir", "Katherine", "Kayiode", "Kayjah", "Kazi MuhammadMahbab", "Keith", "Kelvin", "Kelvin Robert", "Kelvin Ruben", "Kemal", "Ken", "Kenice", "Kenneth", "Kenrick", "Kevin", "Kevin Patrick", "Kevlin", "Khach", "Khalifs", "Khalil", "Khayrun", "Khizar", "Kishor", "Kitts", "Kiyan", "Kodjo", "Kola", "Kowshar", "Kristy", "Krystal May", "Kul", "Kulvir", "Kunalini", "Laila", "Lakhdar", "Lakhvinder", "Lalya", "Larry", "Lascell", "Laurent", "Laurentiu", "Leah Gabrielle", "Lee", "Lee Anthony", "Lee John", "Leigh", "Len", "Lennie", "Leon", "Leon Darryl", "Leroy", "Leroy Anthony", "Lesley", "Leslie", "Liam", "Lisa", "Lloyd", "Lorna", "Louis", "Louisa Jane", "Lucas Jimmy Ray", "Luciano", "Lucy", "Lucy Thomasin", "Luke", "Luthan", "Lyle", "Maciej", "Madidi", "Magda", "Mahad", "Mahamud", "Mahendran", "Mahir", "Mai Choo", "Makhan", "Malcolm", "Maleha", "Manji Harji", "Marcan", "Marcin", "Marcus James", "Margaret", "Maria", "Maria Isabel Ferreir", "Marilyn", "Mark", "MarkFrancis", "Martin", "Martine", "Marvin", "Mary", "Matthew", "Matthew Roy", "Maureen", "Mayaran Jaffma", "Maymoun", "Mehar Singh", "Melvin Leon", "Merlita", "Michael", "Michael Francis", "Michael Hugh", "Michael John", "Michael O' ", "Michael Victor Georg", "Micheal", "Michelle", "Mickael", "Mikey", "Milad", "Mindogas", "Miriam", "Miroslaw Aleksander", "Mohamed Said", "Mohammad", "Mohammed", "Mohammed Ali", "Mohammed Majid", "Mohammed Yassini", "Mohinder Kaur", "Mojtabi", "Molly", "Monsur", "Moses", "Muhammad Amirul", "Muktar", "Mumtahinna", "Myung Chul", "Nabeer", "Nabiha", "Nadin", "Nana Deltarko", "Nassirudeen", "Natalie", "Nathan", "Nazarine", "Negus", "Neo", "Nezir", "Nicholas", "Nicholas Adam", "Nigel", "Nilanthan", "Nisha", "Norman", "Nusayba", "Nyaraui", "Oktay", "Olga", "Oliver", "Olukorede", "Orlando", "Orville", "Osman", "Padurep", "Pamela June", "Pat", "Patrick", "Patrick O' ", "Paul", "Paul Royston", "Pauline", "Paulius", "Paulo", "Pawel", "Penelope", "Perseus", "Peter", "Philip", "Phillip", "Philomena", "Piotr", "Pirabaskaran", "Prel", "Prodip", "Pwel", "Rafal", "Ragbir", "Rahmona", "Rajdeep", "Rakesh", "Ramluishaya", "Randy", "Rasool", "Raymond John", "Regina", "Reginald", "Remi", "RenzoYilmaz", "Reuben Rodriguez", "Ricardo", "Richard", "Richard Mannington", "Rio", "Rizwan", "Rizwie Mohammed", "Robel", "Robert", "Robert Sheppard", "RobertWilliam", "RockyMark", "Ron", "Ronald", "Rose", "Roselyn", "Rosimeiri", "Ross", "Roy Kenneth", "Russell John", "Ryan", "Salum", "Sam", "Samantha", "Sami", "Samuel", "Samuel Akinyemi", "Sanchez", "Sandra", "Santharawathy", "Saranvanan", "Sarwad", "Seamus", "Sean", "Sede", "Sehrish", "Sellathurai", "Selmore", "Shajrania", "Shakilus Romia", "Shanjayan", "Shannon", "Shaquille", "Sharmaarke", "Shaun", "Shawn", "Shenol", "Sher", "Sherif", "Shireen", "Sian", "Siariah", "Simon", "Simon Carlo", "Siobhan", "Siva-Kumar", "Sivaprakash", "Sodiq", "Solomon", "Stacey", "Stanley Edward John", "Stephanie", "Stephen", "Stephen O' ", "Stephen Raymond", "Steve", "Steven", "Steven Robert", "Stuart Christopher", "Sukhwinder", "Sumon", "Sunday", "Sunil", "Sunny", "Suryakant", "Susan", "Svetlana", "Syed Qamar", "Syed Shazad", "Sylvester", "Sylwia", "Tadas", "Tahla", "Tames", "Tara", "TarsemLai", "Tatiana", "Temidayo Fuwad", "Terence", "Thanh", "Thanha", "Thi Hoa", "Thiyagarajan", "Thomas", "Thomas George", "Thomas Mervin", "Thomas Philip", "Tibor", "Timothy", "Timothy John", "Timur", "Tina", "Tina Nicola", "Tom", "Tomas", "Tomasz", "Toni", "TracyAnn", "Trevor", "Tuley", "Tung", "Tyno", "Uche Michael", "Ugarajan", "Umesh", "Varsha", "Victor", "Violet Elizabeth", "Virginia", "Vitalijs", "Vulstan", "Wahab Amins", "Warren", "WaveneyAugustin", "Wayne", "Weis", "Wendy", "Wesley", "Wieslaw", "William", "Wilson", "Wing Juan", "Winifred", "Winston", "WlodzimierzJanusz", "Xiao Mai", "Xiong", "Yanire", "Yasin", "Yemurai Lovemore", "Yusefu", "Yvonne", "Zac", "Zandra", "Zbigniew", "Zhong Ping", "Zuhib Said", "Zydrunas", "linda", "lyke", "tomlouis", "unnamed", "zingzing"), class = "factor"), age = c(19L, 24L, 22L, 18L, 26L, 44L, 39L, 21L, 78L, 27L, 54L, 31L, 26L, 17L, 25L, 70L, 18L, 36L, 42L, 62L, 21L, 68L, 29L, 22L, 39L, 22L, 100L, 52L, 61L, 67L, 36L, 53L, 20L, 30L, 35L, 20L, 21L, 44L, 21L, 31L, 71L, 22L, 23L, 1L, 29L, 42L, 1L, 40L, 33L, 70L, 26L, 38L, 1L, 72L, 3L, 18L, 23L, 24L, 37L, 39L, 25L, 13L, 54L, 51L, 25L, 24L, 31L, 30L, 55L, 64L, 35L, 29L, 28L, 29L, 15L, 23L, 49L, 39L, 34L, 15L, 43L, 39L, 86L, 60L, 49L, 51L, 3L, 27L, 81L, 29L, 16L, 24L, 27L, 53L, 29L, 29L, 54L, 20L, 69L, 46L, 33L, 32L, 24L, 18L, 38L, 24L, 43L, 22L, 25L, 38L, 36L, 34L, 16L, 44L, 33L, 51L, 1L, 46L, 43L, 30L, 52L, 39L, 32L, 25L, 36L, 22L, 29L, 20L, 22L, 24L, 45L, 51L, 40L, 29L, 21L, 46L, 19L, 33L, 45L, 22L, 22L, 54L, 30L, 19L, 24L, 19L, 53L, 19L, 16L, 65L, 53L, 45L, 19L, 22L, 20L, 41L, 60L, 19L, 55L, 36L, 44L, 51L, 44L, 46L, 25L, 35L, 25L, 21L, 27L, 1L, 1L, 83L, 17L, 25L, 44L, 18L, 5L, 6L, 26L, 28L, 29L, 50L, 57L, 18L, 34L, 29L, 3L, 10L, 37L, 24L, 21L, 16L, 47L, 15L, 15L, 29L, 30L, 38L, 49L, 29L, 30L, 25L, 1L, 20L, 31L, 16L, 15L, 43L, 25L, 54L, 67L, 47L, 22L, 14L, 37L, 1L, 54L, 23L, 15L, 1L, 32L, 25L, 27L, 23L, 29L, 1L, 5L, 41L, 25L, 18L, 44L, 36L, 17L, 1L, 39L, 28L, 2L, 67L, 25L, 56L, 28L, 30L, 59L, 59L, 49L, 44L, 28L, 28L, 50L, 30L, 18L, 38L, 38L, 19L, 23L, 23L, 16L, 14L, 18L, 33L, 22L, 33L, 20L, 21L, 53L, 20L, 28L, 45L, 16L, 49L, 33L, 23L, 33L, 34L, 34L, 18L, 33L, 23L, 29L, 28L, 1L, 62L, 54L, 2L, 23L, 23L, 45L, 78L, 17L, 1L, 20L, 43L, 34L, 22L, 35L, 41L, 49L, 32L, 20L, 30L, 19L, 26L, 51L, 27L, 1L, 26L, 21L, 47L, 17L, 48L, 28L, 44L, 24L, 18L, 35L, 1L, 60L, 84L, 37L, 33L, 17L, 80L, 17L, 55L, 40L, 39L, 57L, 39L, 22L, 48L, 21L, 16L, 27L, 20L, 16L, 18L, 44L, 18L, 58L, 25L, 36L, 18L, 51L, 43L, 19L, 40L, 43L, 27L, 28L, 36L, 33L, 15L, 62L, 17L, 21L, 57L, 26L, 23L, 16L, 43L, 66L, 45L, 33L, 18L, 41L, 19L, 23L, 32L, 45L, 33L, 14L, 17L, 68L, 40L, 24L, 66L, 37L, 70L, 56L, 51L, 36L, 26L, 41L, 44L, 23L, 25L, 43L, 26L, 15L, 42L, 21L, 69L, 16L, 22L, 19L, 62L, 34L, 29L, 17L, 18L, 34L, 4L, 5L, 36L, 15L, 36L, 40L, 1L, 57L, 39L, 14L, 23L, 24L, 16L, 23L, 23L, 71L, 34L, 28L, 16L, 23L, 21L, 42L, 18L, 20L, 21L, 36L, 18L, 27L, 26L, 32L, 36L, 44L, 36L, 38L, 24L, 47L, 43L, 39L, 18L, 60L, 70L, 17L, 36L, 24L, 18L, 38L, 32L, 14L, 49L, 67L, 19L, 54L, 53L, 51L, 22L, 23L, 19L, 22L, 30L, 53L, 24L, 27L, 41L, 27L, 20L, 39L, 35L, 1L, 34L, 20L, 19L, 46L, 28L, 24L, 25L, 20L, 48L, 47L, 35L, 44L, 43L, 33L, 52L, 26L, 20L, 37L, 39L, 67L, 1L, 83L, 61L, 61L, 81L, 28L, 36L, 15L, 26L, 28L, 39L, 26L, 26L, 25L, 29L, 43L, 46L, 19L, 17L, 40L, 25L, 17L, 57L, 64L, 22L, 20L, 54L, 35L, 33L, 27L, 53L, 18L, 18L, 16L, 17L, 45L, 48L, 50L, 65L, 45L, 25L, 27L, 45L, 26L, 84L, 20L, 16L, 20L, 20L, 76L, 45L, 18L, 39L, 27L, 41L, 17L, 63L, 35L, 32L, 28L, 48L, 1L, 30L, 46L, 32L, 15L, 21L, 60L, 53L, 38L, 42L, 20L, 55L, 36L, 79L, 1L, 32L, 24L, 46L, 19L, 28L, 27L, 21L, 25L, 24L, 40L, 29L, 23L, 64L, 47L, 24L, 66L, 30L, 24L, 62L, 39L, 64L, 37L, 61L, 60L, 23L, 21L, 60L, 35L, 24L, 60L, 49L, 36L, 22L, 36L, 25L, 23L, 30L, 22L, 20L, 29L, 19L, 65L, 28L, 27L, 19L, 3L, 58L, 27L, 50L, 48L, 62L, 23L, 18L, 40L, 38L, 34L, 44L, 34L, 21L, 31L, 34L, 18L, 63L, 12L, 26L, 32L, 17L, 10L, 16L, 37L, 26L, 51L, 30L, 62L, 20L, 32L, 22L, 72L, 26L, 69L, 26L, 17L, 18L, 22L, 83L, 21L, 42L, 31L, 37L, 16L, 70L, 46L, 20L, 16L, 46L, 52L, 17L, 90L, 43L, 21L, 77L, 49L, 16L, 21L, 19L, 88L, 84L, 22L, 36L, 23L, 27L, 17L, 28L, 54L, 21L, 49L, 35L, 58L, 15L, 50L, 16L, 39L, 1L, 45L, 58L, 54L, 47L, 47L, 36L, 43L, 44L, 24L, 40L, 29L, 70L, 41L, 46L, 55L, 18L, 67L, 33L, 31L, 23L, 50L, 2L, 26L, 34L, 41L, 54L, 35L, 50L, 16L, 17L, 27L, 10L, 12L, 67L, 40L, 25L, 18L, 28L, 43L, 38L, 29L, 33L, 33L, 69L, 22L, 38L, 83L, 34L, 24L, 38L, 4L, 40L, 33L, 15L, 17L, 91L, 27L, 27L, 40L, 67L, 1L, 23L, 73L, 18L, 27L, 15L, 17L, 18L, 37L, 84L, 36L, 45L, 42L, 33L, 42L, 10L, 23L, 8L, 86L, 80L, 21L, 34L, 60L, 12L, 82L, 29L, 60L, 29L, 35L, 59L, 73L, 63L, 22L, 33L, 24L, 15L, 21L, 32L, 1L, 23L, 24L, 25L, 29L, 21L, 42L, 27L, 79L, 15L, 35L, 24L, 24L, 43L, 23L, 25L, 18L, 30L, 56L, 42L, 60L, 20L, 36L, 81L, 30L, 21L, 28L, 41L, 16L, 23L, 41L, 29L, 41L, 27L, 22L, 38L, 50L, 20L, 26L, 20L, 68L, 17L, 31L, 20L, 56L, 35L, 17L, 14L, 20L, 21L, 39L, 44L), date = structure(c(13150, 13150, 13151, 13152, 13152, 13153, 13156, 13157, 13157, 13159, 13160, 13161, 13163, 13168, 13170, 13176, 13177, 13177, 13181, 13183, 13183, 13183, 13196, 13197, 13198, 13198, 13199, 13200, 13201, 13205, 13205, 13206, 13207, 13211, 13214, 13215, 13215, 13216, 13218, 13223, 13223, 13224, 13231, 13234, 13239, 13239, 13241, 13243, 13244, 13245, 13246, 13251, 13251, 13251, 13251, 13257, 13261, 13261, 13262, 13262, 13263, 13264, 13265, 13270, 13270, 13271, 13272, 13273, 13275, 13276, 13276, 13277, 13280, 13280, 13286, 13287, 13287, 13300, 13304, 13308, 13309, 13309, 13321, 13322, 13322, 13327, 13330, 13330, 13335, 13341, 13344, 13345, 13346, 13346, 13347, 13352, 13353, 13354, 13354, 13355, 13356, 13358, 13369, 13372, 13373, 13375, 13378, 13382, 13383, 13383, 13391, 13391, 13392, 13392, 13392, 13397, 13397, 13397, 13400, 13401, 13403, 13404, 13405, 13406, 13406, 13407, 13409, 13414, 13415, 13415, 13421, 13423, 13423, 13427, 13430, 13432, 13433, 13433, 13434, 13435, 13435, 13440, 13440, 13442, 13444, 13449, 13449, 13453, 13458, 13458, 13464, 13464, 13464, 13470, 13472, 13475, 13476, 13480, 13483, 13486, 13487, 13488, 13490, 13492, 13492, 13493, 13498, 13502, 13504, 13506, 13506, 13511, 13514, 13515, 13520, 13522, 13523, 13523, 13523, 13527, 13533, 13534, 13538, 13538, 13538, 13539, 13540, 13540, 13542, 13544, 13547, 13548, 13548, 13550, 13559, 13559, 13561, 13562, 13563, 13564, 13571, 13575, 13576, 13578, 13578, 13587, 13590, 13601, 13603, 13606, 13609, 13609, 13610, 13610, 13613, 13617, 13621, 13622, 13626, 13629, 13630, 13631, 13631, 13636, 13636, 13638, 13638, 13640, 13640, 13652, 13653, 13656, 13661, 13663, 13665, 13666, 13667, 13667, 13668, 13669, 13670, 13670, 13673, 13674, 13676, 13677, 13679, 13680, 13681, 13681, 13684, 13684, 13685, 13687, 13687, 13687, 13688, 13691, 13691, 13692, 13696, 13698, 13699, 13702, 13703, 13709, 13709, 13717, 13720, 13720, 13723, 13726, 13727, 13729, 13729, 13730, 13730, 13730, 13732, 13735, 13735, 13736, 13738, 13739, 13743, 13744, 13751, 13754, 13756, 13758, 13758, 13759, 13759, 13760, 13763, 13764, 13767, 13768, 13769, 13771, 13773, 13775, 13777, 13780, 13780, 13788, 13789, 13791, 13793, 13794, 13796, 13798, 13798, 13801, 13810, 13815, 13820, 13821, 13826, 13827, 13832, 13833, 13834, 13840, 13840, 13843, 13846, 13847, 13849, 13850, 13855, 13863, 13866, 13874, 13874, 13881, 13884, 13885, 13886, 13891, 13895, 13899, 13901, 13901, 13904, 13906, 13916, 13917, 13920, 13927, 13927, 13928, 13930, 13932, 13935, 13937, 13937, 13940, 13941, 13941, 13944, 13947, 13950, 13952, 13952, 13953, 13954, 13958, 13959, 13961, 13965, 13965, 13968, 13969, 13970, 13972, 13974, 13975, 13984, 13989, 13991, 13991, 13994, 13996, 13997, 13998, 14001, 14001, 14002, 14002, 14006, 14008, 14009, 14013, 14017, 14020, 14021, 14023, 14024, 14024, 14025, 14030, 14030, 14031, 14032, 14033, 14034, 14040, 14041, 14044, 14047, 14050, 14058, 14059, 14060, 14060, 14060, 14061, 14062, 14063, 14066, 14067, 14070, 14071, 14071, 14071, 14077, 14078, 14079, 14082, 14083, 14087, 14087, 14090, 14091, 14092, 14093, 14094, 14094, 14098, 14101, 14104, 14107, 14107, 14113, 14115, 14118, 14119, 14122, 14123, 14133, 14135, 14138, 14138, 14141, 14142, 14145, 14148, 14148, 14154, 14155, 14157, 14157, 14157, 14158, 14170, 14170, 14173, 14176, 14178, 14188, 14191, 14197, 14203, 14205, 14209, 14210, 14210, 14210, 14211, 14212, 14213, 14216, 14223, 14232, 14238, 14238, 14239, 14240, 14242, 14246, 14249, 14253, 14260, 14260, 14268, 14269, 14269, 14271, 14273, 14274, 14275, 14283, 14288, 14288, 14292, 14294, 14295, 14296, 14297, 14297, 14297, 14299, 14303, 14306, 14307, 14308, 14308, 14309, 14312, 14317, 14318, 14321, 14321, 14325, 14325, 14326, 14327, 14330, 14332, 14338, 14348, 14355, 14357, 14361, 14362, 14365, 14365, 14367, 14369, 14371, 14380, 14382, 14382, 14387, 14391, 14394, 14394, 14400, 14400, 14409, 14410, 14413, 14416, 14421, 14421, 14422, 14433, 14433, 14435, 14436, 14440, 14442, 14443, 14448, 14450, 14453, 14453, 14457, 14467, 14473, 14486, 14487, 14490, 14490, 14493, 14494, 14495, 14496, 14498, 14498, 14503, 14508, 14513, 14514, 14514, 14516, 14517, 14517, 14519, 14523, 14525, 14536, 14537, 14538, 14538, 14539, 14548, 14548, 14548, 14549, 14549, 14551, 14554, 14554, 14557, 14564, 14565, 14567, 14568, 14571, 14571, 14577, 14588, 14588, 14592, 14598, 14599, 14609, 14609, 14610, 14610, 14610, 14615, 14618, 14622, 14623, 14644, 14650, 14655, 14657, 14660, 14664, 14673, 14674, 14676, 14681, 14681, 14683, 14687, 14689, 14690, 14690, 14691, 14693, 14694, 14695, 14703, 14703, 14704, 14709, 14709, 14709, 14710, 14713, 14713, 14713, 14714, 14717, 14723, 14723, 14725, 14725, 14726, 14732, 14732, 14733, 14735, 14736, 14738, 14744, 14749, 14751, 14758, 14759, 14761, 14762, 14769, 14771, 14777, 14779, 14783, 14785, 14792, 14792, 14794, 14796, 14797, 14798, 14800, 14808, 14811, 14811, 14813, 14817, 14819, 14828, 14833, 14834, 14844, 14849, 14857, 14858, 14859, 14861, 14861, 14862, 14864, 14868, 14870, 14898, 14898, 14899, 14902, 14904, 14904, 14905, 14909, 14913, 14914, 14914, 14917, 14920, 14922, 14922, 14923, 14928, 14928, 14940, 14941, 14942, 14946, 14948, 14951, 14953, 14954, 14957, 14957, 14959, 14962, 14967, 14968, 14972, 14972, 14976, 14978, 14979, 14979, 14980, 14981, 14990, 14993, 14993, 14995, 14998, 15003, 15005, 15005, 15006, 15008, 15009, 15013, 15014, 15018, 15018, 15021, 15027, 15031, 15032, 15033, 15034, 15037, 15040, 15041, 15042, 15045, 15047, 15052, 15056, 15059, 15060, 15065, 15066, 15074, 15078, 15081, 15082, 15084, 15084, 15089, 15090, 15097, 15101, 15104, 15105, 15105, 15106, 15108, 15121, 15121, 15122, 15126, 15132, 15132, 15133, 15141, 15145, 15147, 15148, 15150, 15151, 15152, 15154, 15156, 15156, 15160, 15160, 15160, 15161, 15171, 15174, 15177, 15190, 15193, 15195, 15196, 15196, 15196, 15197, 15198, 15198, 15200, 15201, 15204, 15210, 15217, 15219, 15223 ), class = "Date"), year = c(2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L), borough = structure(c(11L, 22L, 16L, 6L, 6L, 4L, 7L, 21L, 9L, 11L, 24L, 4L, 19L, 1L, 17L, 16L, 6L, 24L, 21L, 17L, 9L, 24L, 7L, 11L, 5L, 23L, 24L, 31L, 32L, 3L, 16L, 21L, 23L, 10L, 10L, 7L, 7L, 30L, 32L, 24L, 6L, 8L, 11L, 15L, 5L, 1L, 9L, 27L, 15L, 24L, 22L, 2L, 1L, 1L, 1L, 31L, 31L, 31L, 11L, 21L, 18L, 24L, 21L, 20L, 17L, 15L, 21L, 31L, 21L, 8L, 16L, 5L, 21L, 4L, 2L, 8L, 12L, 7L, 8L, 21L, 1L, 30L, 6L, 7L, 6L, 18L, 13L, 8L, 6L, 27L, 3L, 9L, 23L, 31L, 4L, 2L, 7L, 30L, 22L, 15L, 26L, 13L, 14L, 18L, 24L, 32L, 11L, 24L, 27L, 21L, 16L, 32L, 24L, 11L, 4L, 21L, 8L, 30L, 24L, 6L, 10L, 18L, 8L, 14L, 24L, 18L, 22L, 18L, 6L, 17L, 31L, 19L, 11L, 23L, 30L, 6L, 1L, 17L, 16L, 4L, 8L, 10L, 15L, 24L, 21L, 13L, 24L, 27L, 23L, 16L, 6L, 1L, 2L, 11L, 11L, 23L, 16L, 22L, 20L, 28L, 21L, 27L, 23L, 13L, 3L, 21L, 31L, 11L, 12L, 28L, 15L, 29L, 1L, 1L, 31L, 13L, 24L, 24L, 24L, 21L, 21L, 11L, 2L, 32L, 8L, 8L, 11L, 11L, 17L, 13L, 27L, 21L, 27L, 27L, 21L, 32L, 11L, 5L, 18L, 29L, 16L, 24L, 31L, 12L, 16L, 12L, 24L, 10L, 25L, 21L, 10L, 7L, 31L, 30L, 24L, 32L, 5L, 27L, 9L, 25L, 24L, 21L, 10L, 22L, 15L, 7L, 7L, 18L, 5L, 7L, 16L, 8L, 9L, 32L, 15L, 21L, 21L, 29L, 24L, 8L, 21L, 21L, 5L, 24L, 2L, 11L, 31L, 21L, 12L, 15L, 7L, 21L, 13L, 13L, 8L, 20L, 5L, 18L, 25L, 6L, 9L, 16L, 9L, 1L, 9L, 10L, 21L, 12L, 21L, 21L, 1L, 21L, 6L, 30L, 27L, 21L, 25L, 21L, 4L, 29L, 13L, 6L, 9L, 1L, 12L, 7L, 10L, 17L, 24L, 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"Wandsworth", "Westminster"), class = "factor")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -838L))