Importar librerias
library(readr)
## Warning: package 'readr' was built under R version 4.3.1
library(dplyr)
## Warning: package 'dplyr' was built under R version 4.3.1
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(cluster)
Importar Dataset
df <- read.csv("C:\\Users\\naila\\OneDrive\\Documentos\\1 TEC\\5 QUINTO SEMESTRE\\Minería de datos\\Datos bienes y raices CDMXF 1.csv")
print(df)
## Alcaldia Colonia X1 X2
## 1 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 2 Tlahuac Xochicalli 1.54 4.50
## 3 Cuajimalpa Bosques de las Lomas 1.55 5.76
## 4 Tlahuac La Turba 1.54 4.50
## 5 Tlahuac Miguel Hidalgo 1.54 4.50
## 6 Tlahuac Los Olivos 1.54 4.50
## 7 Miguel Hidalgo Polanco 0.61 5.57
## 8 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 9 Xochimilco Santiago Tepalcatlalpan 2.30 4.57
## 10 Venustiano Carranza Moctezuma 2a Secci\xf3n 1.02 6.37
## 11 Xochimilco M\xe1rtires de Rio Blanco 2.30 4.57
## 12 Gustavo A. Madero Guadalupe Tepeyac 1.40 4.99
## 13 Gustavo A. Madero Lindavista Sur 1.40 4.99
## 14 Iztapalapa Lomas Estrella 1.86 5.62
## 15 Coyoacan Culhuac\xe1n 0.77 4.98
## 16 Miguel Hidalgo Polanco 0.61 5.57
## 17 Alvaro Obregon Universal 1.34 5.68
## 18 Coyoacan Los Girasoles 0.77 4.98
## 19 Venustiano Carranza Popular Rastro 1.02 6.37
## 20 Venustiano Carranza Popular Rastro 1.02 6.37
## 21 Benito Ju\xe1rez Napoles 0.35 6.23
## 22 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 23 Azcapotzalco San Francisco Tetecala 0.96 5.97
## 24 Cuajimalpa Lomas de Vista Hermosa 1.55 5.76
## 25 Alvaro Obregon Paseo de las Lomas 1.34 5.68
## 26 Xochimilco La Noria 2.30 4.57
## 27 Azcapotzalco El jaguey 0.96 5.97
## 28 Azcapotzalco Obrero Popular 0.96 5.97
## 29 Iztapalapa Santa Martha Acatitla 1.86 5.62
## 30 Xochimilco San Lorenzo La Cebada 2.30 4.57
## 31 Alvaro Obregon Las Aguilas 1.34 5.68
## 32 Tlahuac Villa Centroamericana 1.54 4.50
## 33 Tlahuac Los olivos 1.54 4.50
## 34 Alvaro Obregon Lomas de los cedros 1.34 5.68
## 35 Iztacalco Agr\xedcola Pantitlan 1.13 4.47
## 36 Tlahuac Miguel Hidalgo 1.54 4.50
## 37 Gustavo A. Madero Bondojito 1.40 4.99
## 38 Gustavo A. Madero La Esmeralda 1.40 4.99
## 39 Tlahuac Zapotitla 1.54 4.50
## 40 Gustavo A. Madero La Escalera 1.40 4.99
## 41 Alvaro Obregon Lomas de los cedros 1.34 5.68
## 42 Iztapalapa El Manto 1.86 5.62
## 43 Alvaro Obregon Paseo de las lomas 1.34 5.68
## 44 Gustavo A. Madero DM Nacional 1.40 4.99
## 45 Gustavo A. Madero Santa Rosa 1.40 4.99
## 46 Gustavo A. Madero Granjas Modernas 1.40 4.99
## 47 Tlalpan Aralia 1.39 4.60
## 48 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 49 Venustiano Carranza Morelos 1.02 6.37
## 50 Xochimilco Tepepan 2.30 4.57
## 51 Iztapalapa Jos\xe9 Mar\xeda Morelos 1.86 5.62
## 52 Alvaro Obregon Santa Fe 1.34 5.68
## 53 Gustavo A. Madero La Laguna Ticom\xe1n 1.40 4.99
## 54 Coyoacan Romero de Terreros 0.77 4.98
## 55 Alvaro Obregon Santa Fe 1.34 5.68
## 56 Tlahuac El Rosario 1.54 4.50
## 57 Miguel Hidalgo Polanco 0.61 5.57
## 58 Coyoacan Educaci\xf3n 0.77 4.98
## 59 Cuajimalpa Bosques de las Lomas 1.55 5.76
## 60 Miguel Hidalgo Polanco 0.61 5.57
## 61 Xochimilco San Lorenzo La Cebada 2.30 4.57
## 62 Tlahuac San Nicolas tetelco 1.54 4.50
## 63 Cuajimalpa Lomas de Vista Hermosa 1.55 5.76
## 64 Tlahuac Santa Ana Poniente 1.54 4.50
## 65 Coyoacan Culhuac\xe1n 0.77 4.98
## 66 Iztapalapa Pareja Zacatepec 1.86 5.62
## 67 Gustavo A. Madero Santa Mar\xeda Ticom\xe1n 1.40 4.99
## 68 Iztapalapa San Juan Xalpa 1.86 5.62
## 69 Tlalpan Villa Ol\xedmpica 1.39 4.60
## 70 Gustavo A. Madero Progreso Nacional 1.40 4.99
## 71 La Magdalena Contreras Santa Teresa 1.86 5.62
## 72 Cuahtemoc Ju\xe1rez 0.90 6.78
## 73 Gustavo A. Madero La Esmeralda 1.40 4.99
## 74 Alvaro Obregon Santa Fe 1.34 5.68
## 75 Gustavo A. Madero Progreso Nacional 1.40 4.99
## 76 Tlalpan Narciso Mendoza 1.39 4.60
## 77 Azcapotzalco Petrolera 0.96 5.97
## 78 Tlahuac Villa centro Americana 1.54 4.50
## 79 Miguel Hidalgo Polanco 0.61 5.57
## 80 Miguel Hidalgo Polanco 0.61 5.57
## 81 Cuajimalpa Lomas del Chamizal 1.55 5.76
## 82 Xochimilco Guadalupe I. Ramirez 2.30 4.57
## 83 Alvaro Obregon Santa Fe 1.34 5.68
## 84 Gustavo A. Madero Lindavista Norte 1.40 4.99
## 85 La Magdalena Contreras Lomas Quebradas 1.86 5.62
## 86 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 87 Venustiano Carranza General Ignacio Zaragoza 1.02 6.37
## 88 Alvaro Obregon San Angel 1.34 5.68
## 89 Tlahuac Miguel Hidalgo 1.54 4.50
## 90 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 91 Alvaro Obregon Santa Fe 1.34 5.68
## 92 La Magdalena Contreras Santa Teresa 1.86 5.62
## 93 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 94 Azcapotzalco San Martin Xochinahuac 0.96 5.97
## 95 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 96 Cuajimalpa Cooperativa Palo Alto 1.55 5.76
## 97 Iztapalapa Lomas Estrella 1.86 5.62
## 98 Iztapalapa Solidaridad 1.86 5.62
## 99 Gustavo A. Madero Gustavo A. Madero 1.40 4.99
## 100 Miguel Hidalgo Polanco 0.61 5.57
## 101 Iztapalapa San Juan 1.86 5.62
## 102 Benito Ju\xe1rez Narvarte 0.35 6.23
## 103 Iztapalapa Citlalli 1.86 5.62
## 104 Tlalpan Santa \xfarsula Xitla 1.39 4.60
## 105 Iztacalco Granjas M\xe9xico 1.13 4.47
## 106 Iztapalapa Juan Escutia 1.86 5.62
## 107 Cuahtemoc Hip\xf3dromo 0.90 6.78
## 108 Coyoacan Culhuac\xe1n 0.77 4.98
## 109 Alvaro Obregon Santa Fe 1.34 5.68
## 110 Iztapalapa Unidad Vicente Guerrero 1.86 5.62
## 111 Iztapalapa Tepalcates 1.86 5.62
## 112 Gustavo A. Madero Progreso Nacional 1.40 4.99
## 113 Cuahtemoc Ju\xe1rez 0.90 6.78
## 114 La Magdalena Contreras H\xe9roes de Padierna 1.86 5.62
## 115 Benito Ju\xe1rez Santa Maria Nonoalco 0.35 6.23
## 116 Gustavo A. Madero Tres Estrellas 1.40 4.99
## 117 Iztapalapa Granjas San Antonio 1.86 5.62
## 118 Alvaro Obregon El cuernito 1.34 5.68
## 119 Tlahuac La turba 1.54 4.50
## 120 Gustavo A. Madero El Arbolillo 1.40 4.99
## 121 Gustavo A. Madero Vasco de Quiroga 1.40 4.99
## 122 Gustavo A. Madero Loma la Palma 1.40 4.99
## 123 Tlahuac Las arboledas 1.54 4.50
## 124 Cuajimalpa Bosques de Abetos 1.55 5.76
## 125 Iztapalapa Guadalupe del Moral 1.86 5.62
## 126 Alvaro Obregon Las aguilas 1.34 5.68
## 127 Iztapalapa Chinampac 1.86 5.62
## 128 Xochimilco La Noria 2.30 4.57
## 129 Cuahtemoc Ju\xe1rez 0.90 6.78
## 130 Gustavo A. Madero El Arbolillo 1.40 4.99
## 131 Cuahtemoc San Rafael 0.90 6.78
## 132 Azcapotzalco Aquiles Serd\xe1n 0.96 5.97
## 133 Tlahuac Santa Cecilia 1.54 4.50
## 134 Coyoacan Pedregal de Santa Ursula 0.77 4.98
## 135 Miguel Hidalgo Polanco 0.61 5.57
## 136 Coyoacan San Diego Churubusco 0.77 4.98
## 137 Iztapalapa San Nicol\xe1s Tolentino 1.86 5.62
## 138 Tlahuac Los olivos 1.54 4.50
## 139 Cuahtemoc San Rafael 0.90 6.78
## 140 Benito Ju\xe1rez Nativitas 0.35 6.23
## 141 Gustavo A. Madero San Felipe de Jes\xfas 1.40 4.99
## 142 Iztapalapa Unidad Vicente Guerrero 1.86 5.62
## 143 Coyoacan Viveros de Coyoacan 0.77 4.98
## 144 Tlahuac La Nopalera 1.54 4.50
## 145 Iztapalapa Albarrada 1.86 5.62
## 146 Tlalpan H\xe9roes de Padierna 1.39 4.60
## 147 Gustavo A. Madero Guadalupe Tepeyac 1.40 4.99
## 148 Azcapotzalco San Martin Xochinahuac 0.96 5.97
## 149 Iztacalco Viaducto Piedad 1.13 4.47
## 150 Azcapotzalco San Alvaro 0.96 5.97
## 151 Iztapalapa Tecoloxtitlan 1.86 5.62
## 152 Alvaro Obregon Pedregal 1.34 5.68
## 153 Gustavo A. Madero Jorge Negrete 1.40 4.99
## 154 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 155 Tlahuac La draga 1.54 4.50
## 156 Tlahuac La draga 1.54 4.50
## 157 Benito Ju\xe1rez Del Valle 0.35 6.23
## 158 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 159 Cuahtemoc Condesa 0.90 6.78
## 160 Tlahuac Miguel Hidalgo 1.54 4.50
## 161 Venustiano Carranza Magdalena Mixiuhca 1.02 6.37
## 162 Coyoacan Culhuac\xe1n 0.77 4.98
## 163 Iztapalapa Consejo Agrarista 1.86 5.62
## 164 Tlalpan Coapa 1.39 4.60
## 165 Gustavo A. Madero El Arbolillo 1.40 4.99
## 166 Iztapalapa Lomas Estrella 1.86 5.62
## 167 Tlalpan San Nicol\xe1s 1.39 4.60
## 168 Iztapalapa Ejercito de Agua Prieta 1.86 5.62
## 169 Tlahuac Zapotitla 1.54 4.50
## 170 Cuajimalpa Lomas de Vista Hermosa 1.55 5.76
## 171 Iztapalapa San Miguel 1.86 5.62
## 172 Alvaro Obregon Ca\xf1ada 1.34 5.68
## 173 Tlahuac Del Mar del Mar 1.54 4.50
## 174 Cuahtemoc Centro 0.90 6.78
## 175 Gustavo A. Madero La Esmeralda 1.40 4.99
## 176 Azcapotzalco San Juan Tlihuaca 0.96 5.97
## 177 Azcapotzalco Pasteros 0.96 5.97
## 178 Milpa alta Rojo G\xf3mez 2.80 3.81
## 179 Cuajimalpa Santa Fe 1.55 5.76
## 180 Tlahuac Los olivos 1.54 4.50
## 181 Benito Ju\xe1rez Narvarte 0.35 6.23
## 182 Miguel Hidalgo Polanco 0.61 5.57
## 183 Tlalpan Lomas del Pedregal 1.39 4.60
## 184 Tlahuac La nopalera 1.54 4.50
## 185 Alvaro Obregon Las \xe1guilas 1.34 5.68
## 186 Iztapalapa Trinidad Guerrero 1.86 5.62
## 187 Tlahuac La turba 1.54 4.50
## 188 Gustavo A. Madero Tepeyac Insurgentes 1.40 4.99
## 189 Tlahuac La nopalera 1.54 4.50
## 190 Gustavo A. Madero Santiago Atepetlac 1.40 4.99
## 191 Gustavo A. Madero San Jos\xe9 Ticom\xe1n 1.40 4.99
## 192 Xochimilco La Noria 2.30 4.57
## 193 Alvaro Obregon Santa Fe 1.34 5.68
## 194 Iztapalapa Los Reyes Culhuac\xe1n 1.86 5.62
## 195 Azcapotzalco San Pedro Xalpa 0.96 5.97
## 196 Iztapalapa Cerro de la estrella 1.86 5.62
## 197 Gustavo A. Madero El Arbolillo 1.40 4.99
## 198 Alvaro Obregon Villa Verdun 1.34 5.68
## 199 Iztapalapa Lomas Estrella 1.86 5.62
## 200 Tlalpan H\xe9roes de Padierna 1.39 4.60
## 201 Coyoacan Churubusco 0.77 4.98
## 202 Iztapalapa Pol\xedtica 1.86 5.62
## 203 Gustavo A. Madero El Risco 1.40 4.99
## 204 Tlahuac Las arboledas 1.54 4.50
## 205 Miguel Hidalgo Lomas de Bezares 0.61 5.57
## 206 Miguel Hidalgo Polanco 0.61 5.57
## 207 Tlahuac Zapotitla 1.54 4.50
## 208 Alvaro Obregon Santa Fe 1.34 5.68
## 209 Alvaro Obregon San Angel 1.34 5.68
## 210 Azcapotzalco San pedro Xalpa 0.96 5.97
## 211 Miguel Hidalgo Polanco 0.61 5.57
## 212 Alvaro Obregon Santa Fe 1.34 5.68
## 213 Azcapotzalco Tecpan 0.96 5.97
## 214 Alvaro Obregon Santa Fe 1.34 5.68
## 215 Tlalpan Lomas del Pedregal 1.39 4.60
## 216 Tlalpan Lomas del Pedregal 1.39 4.60
## 217 Venustiano Carranza Federal 1.02 6.37
## 218 Milpa alta Delegaci\xf3n pol\xedtica milpa alta 2.80 3.81
## 219 Venustiano Carranza Arenal Puerto A\xe9reo 1.02 6.37
## 220 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 221 Tlalpan Fuentes del pedregal 1.39 4.60
## 222 Gustavo A. Madero Tres Estrellas 1.40 4.99
## 223 Tlahuac Las arboledas 1.54 4.50
## 224 Iztapalapa Tepalcates 1.86 5.62
## 225 Benito Ju\xe1rez Tlalpan Josefa Ortiz de Dom\xednguez 0.35 6.23
## 226 Miguel Hidalgo Granada 0.61 5.57
## 227 Venustiano Carranza Puebla 1.02 6.37
## 228 Benito Ju\xe1rez Del Valle 0.35 6.23
## 229 Azcapotzalco Xochinahuac 0.96 5.97
## 230 Iztapalapa Unidad Vicente Guerrero 1.86 5.62
## 231 Gustavo A. Madero San Juan de Arag\xf3n 1.40 4.99
## 232 Iztapalapa Tepalcates 1.86 5.62
## 233 Gustavo A. Madero Mart\xedn Carrera 1.40 4.99
## 234 Gustavo A. Madero Tepeyac Insurgentes 1.40 4.99
## 235 Tlahuac Villa Centroamericana 1.54 4.50
## 236 Miguel Hidalgo Polanco 0.61 5.57
## 237 Benito Ju\xe1rez General Pedro Maria Anaya 0.35 6.23
## 238 Gustavo A. Madero Zona Escolar 1.40 4.99
## 239 Venustiano Carranza Lorenzo Boturini 1.02 6.37
## 240 Tlalpan Fuentes de Tepepan 1.39 4.60
## 241 Tlalpan Miguel Hidalgo 1.39 4.60
## 242 Gustavo A. Madero La Laguna Ticom\xe1n 1.40 4.99
## 243 Gustavo A. Madero Lindavista Vallejo 1.40 4.99
## 244 Tlahuac Los olivos 1.54 4.50
## 245 Venustiano Carranza Recursos Hidr\xe1ulicos 4 \xc1rboles 1.02 6.37
## 246 Iztapalapa Santa Martha Acatitla 1.86 5.62
## 247 Alvaro Obregon Santa Fe 1.34 5.68
## 248 Milpa alta Emiliano Zapata 2.80 3.81
## 249 Tlahuac La turba 1.54 4.50
## 250 Xochimilco Jardines del Sur 2.30 4.57
## 251 Tlahuac Las arboledas 1.54 4.50
## 252 Alvaro Obregon Tetelpan 1.34 5.68
## 253 Gustavo A. Madero Santa Rosa 1.40 4.99
## 254 Iztapalapa Santa Martha Acatitla 1.86 5.62
## 255 Tlahuac Los Olivos 1.54 4.50
## 256 Tlahuac La turba 1.54 4.50
## 257 Iztapalapa Lomas Estrella 1.86 5.62
## 258 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 259 Gustavo A. Madero Zacatenco Lindavista 1.40 4.99
## 260 Xochimilco Jardines del Sur 2.30 4.57
## 261 Cuajimalpa Lomas de Vista Hermosa 1.55 5.76
## 262 Gustavo A. Madero San Pedro El Chico 1.40 4.99
## 263 Tlahuac Las arboledas 1.54 4.50
## 264 Alvaro Obregon Independencia San Ram\xf3n 1.34 5.68
## 265 Cuahtemoc Roma Norte 0.90 6.78
## 266 Alvaro Obregon Santa Fe 1.34 5.68
## 267 Tlalpan H\xe9roes de Padierna 1.39 4.60
## 268 Cuajimalpa Bosques de las Lomas 1.55 5.76
## 269 La Magdalena Contreras H\xe9roes de Padierna 1.86 5.62
## 270 Venustiano Carranza Romero Rubio 1.02 6.37
## 271 Alvaro Obregon Los alpes 1.34 5.68
## 272 Alvaro Obregon Florida 1.34 5.68
## 273 Benito Ju\xe1rez Del Valle 0.35 6.23
## 274 Alvaro Obregon San Jose del Olivar 1.34 5.68
## 275 Cuajimalpa Cooperativa Palo Alto 1.55 5.76
## 276 Alvaro Obregon San Angel 1.34 5.68
## 277 Venustiano Carranza Zona Centro 1.02 6.37
## 278 Alvaro Obregon San Angel 1.34 5.68
## 279 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 280 Coyoacan SANTA URSULA 0.77 4.98
## 281 Tlahuac Miguel Hidalgo 1.54 4.50
## 282 Cuajimalpa Lomas del Chamizal 1.55 5.76
## 283 Iztapalapa Gavil\xe1n 1.86 5.62
## 284 Tlahuac Las arboledas 1.54 4.50
## 285 Gustavo A. Madero San Bartolo Atepehucan 1.40 4.99
## 286 Tlalpan San Nicol\xe1s 1.39 4.60
## 287 Iztapalapa Tepalcates 1.86 5.62
## 288 Coyoacan Romero de Terrero 0.77 4.98
## 289 Coyoacan Insurgentes San Angel 0.77 4.98
## 290 Xochimilco Jardines del Sur 2.30 4.57
## 291 Alvaro Obregon San Angel 1.34 5.68
## 292 Coyoacan Cuicuilco 0.77 4.98
## 293 Tlahuac Villa Centroam\xe9rica 1.54 4.50
## 294 Cuahtemoc R\xedo P\xe1nuco 0.90 6.78
## 295 Cuahtemoc Sabino 0.90 6.78
## 296 Coyoacan Pedregal de Carrasco 0.77 4.98
## 297 Iztapalapa Paseo de churubusco 1.86 5.62
## 298 Tlahuac La draga 1.54 4.50
## 299 Tlahuac Miguel Hidalgo 1.54 4.50
## 300 Iztapalapa San Andr\xe9s Tetepilco 1.86 5.62
## 301 Alvaro Obregon Paseo de las lomas 1.34 5.68
## 302 Azcapotzalco Santa Cruz de las Salinas 0.96 5.97
## 303 Azcapotzalco Nueva Santa maria 0.96 5.97
## 304 Azcapotzalco San Isidro 0.96 5.97
## 305 Iztapalapa Tepalcates 1.86 5.62
## 306 Benito Ju\xe1rez Narvarte 0.35 6.23
## 307 Alvaro Obregon Paseo de las lomas 1.34 5.68
## 308 Iztapalapa San Miguel 1.86 5.62
## 309 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 310 Tlahuac Miguel Hidalgo 1.54 4.50
## 311 Alvaro Obregon Santa Fe 1.34 5.68
## 312 Iztapalapa Presidentes de M\xe9xico 1.86 5.62
## 313 Miguel Hidalgo Escand\xf3n I 0.61 5.57
## 314 Tlahuac Los olivos 1.54 4.50
## 315 Alvaro Obregon Santa Fe 1.34 5.68
## 316 Gustavo A. Madero San Juan de Arag\xf3n 1.40 4.99
## 317 Coyoacan Paseos de Taxque\xf1 0.77 4.98
## 318 Iztapalapa Chinampac 1.86 5.62
## 319 Iztapalapa Tepalcates 1.86 5.62
## 320 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 321 Cuahtemoc Condesa 0.90 6.78
## 322 Alvaro Obregon Rincon de la bolsa 1.34 5.68
## 323 Iztapalapa Tepalcates 1.86 5.62
## 324 Gustavo A. Madero Guadalupe Tepeyac 1.40 4.99
## 325 Iztapalapa Rinconada Estrella 1.86 5.62
## 326 Gustavo A. Madero Progreso Nacional 1.40 4.99
## 327 Gustavo A. Madero Residencial Oriente 1.40 4.99
## 328 Iztapalapa El vergel 1.86 5.62
## 329 Venustiano Carranza Cuchilla Pantitlan 1.02 6.37
## 330 Gustavo A. Madero Vallejo 1.40 4.99
## 331 Alvaro Obregon Santa Fe 1.34 5.68
## 332 Alvaro Obregon Las aguilas 1.34 5.68
## 333 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 334 Azcapotzalco Santo Tomas 0.96 5.97
## 335 Alvaro Obregon Santa Fe 1.34 5.68
## 336 Milpa alta Nativitas 2.80 3.81
## 337 Gustavo A. Madero Mart\xedn Carrera 1.40 4.99
## 338 Coyoacan Pedregal de Coyoacan 0.77 4.98
## 339 Cuahtemoc Condesa 0.90 6.78
## 340 Venustiano Carranza Venustiano Carranza 1.02 6.37
## 341 Benito Ju\xe1rez Napoles 0.35 6.23
## 342 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 343 Venustiano Carranza Nicol\xe1s Bravo 1.02 6.37
## 344 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 345 Tlahuac Zapotitla 1.54 4.50
## 346 Coyoacan Pedregal de Carrasco 0.77 4.98
## 347 Tlahuac Tlahuac 1.54 4.50
## 348 Azcapotzalco Petrolera 0.96 5.97
## 349 Milpa alta Pol\xedtica Milpa Alta 2.80 3.81
## 350 Xochimilco Bosque Residencial del Sur 2.30 4.57
## 351 Cuajimalpa Santa Fe 1.55 5.76
## 352 Gustavo A. Madero Vallejo 1.40 4.99
## 353 Alvaro Obregon Santa Fe 1.34 5.68
## 354 Cuajimalpa Paseo de la Reforma 1.55 5.76
## 355 Benito Ju\xe1rez Narvarte 0.35 6.23
## 356 Tlahuac Zapotitla 1.54 4.50
## 357 Miguel Hidalgo Polanco 0.61 5.57
## 358 Iztapalapa Lomas de San Loerenzo 1.86 5.62
## 359 Tlalpan Miguel Hidalgo 1.39 4.60
## 360 Iztapalapa Churubusco 1.86 5.62
## 361 Cuahtemoc Cuauhtemoc 0.90 6.78
## 362 Tlahuac Santiago Zapotitlan 1.54 4.50
## 363 Venustiano Carranza Nicol\xe1s Bravo 1.02 6.37
## 364 Tlahuac Los olivos 1.54 4.50
## 365 Tlahuac Villa centroamericana 1.54 4.50
## 366 Tlahuac La draga 1.54 4.50
## 367 Tlalpan San Nicol\xe1s 1.39 4.60
## 368 Iztacalco Granjas M\xe9xico 1.13 4.47
## 369 Cuahtemoc Rio Niagara 0.90 6.78
## 370 Venustiano Carranza Arenal 1a Secci\xf3n 1.02 6.37
## 371 Xochimilco San Lorenzo Atemoaya 2.30 4.57
## 372 Cuahtemoc Condesa 0.90 6.78
## 373 Cuajimalpa Santa Fe 1.55 5.76
## 374 Benito Ju\xe1rez Santa Cruz Atoyac 0.35 6.23
## 375 Cuahtemoc Ju\xe1rez 0.90 6.78
## 376 Miguel Hidalgo Lomas Altas 0.61 5.57
## 377 Benito Ju\xe1rez Narvarte 0.35 6.23
## 378 Iztapalapa Las Am\xe9ricas 1.86 5.62
## 379 Iztapalapa Lomas Estrella 1.86 5.62
## 380 La Magdalena Contreras Santa Teresa 1.86 5.62
## 381 Benito Ju\xe1rez Acacias 0.35 6.23
## 382 Coyoacan Ajusco 0.77 4.98
## 383 Alvaro Obregon San Angel 1.34 5.68
## 384 Tlahuac Los olivos 1.54 4.50
## 385 Cuajimalpa Bosques de las Lomas 1.55 5.76
## 386 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 387 Miguel Hidalgo Polanco 0.61 5.57
## 388 Gustavo A. Madero Jorge Negrete 1.40 4.99
## 389 Tlahuac Santa Ana Poniente 1.54 4.50
## 390 Iztacalco Iztacalco 1.13 4.47
## 391 Alvaro Obregon Alcantarilla 1.34 5.68
## 392 Tlalpan Lomas del Pedregal 1.39 4.60
## 393 Alvaro Obregon Santa fe 1.34 5.68
## 394 Gustavo A. Madero Tepeyac Insurgentes 1.40 4.99
## 395 La Magdalena Contreras Lomas Quebradas 1.86 5.62
## 396 Venustiano Carranza Nicol\xe1s Bravo 1.02 6.37
## 397 Venustiano Carranza Moctezuma 1a Secci\xf3n 1.02 6.37
## 398 Tlahuac Miguel Hidalgo 1.54 4.50
## 399 Iztapalapa San Lorenzo Xicotencatl 1.86 5.62
## 400 Tlahuac Miguel Hidalgo 1.54 4.50
## 401 Cuahtemoc Roma Norte 0.90 6.78
## 402 Azcapotzalco Ampliacion del Gas 0.96 5.97
## 403 Gustavo A. Madero Mart\xedn Carrera 1.40 4.99
## 404 Gustavo A. Madero Lindavista 1.40 4.99
## 405 Benito Ju\xe1rez Xoco 0.35 6.23
## 406 Alvaro Obregon Santa Fe 1.34 5.68
## 407 Gustavo A. Madero San Juan de Arag\xf3n 1.40 4.99
## 408 Gustavo A. Madero Siete Maravillas 1.40 4.99
## 409 Venustiano Carranza Lorenzo Boturini 1.02 6.37
## 410 Iztapalapa San Nicol\xe1s Tolentino 1.86 5.62
## 411 Iztapalapa Tetepilco 1.86 5.62
## 412 La Magdalena Contreras H\xe9roes de Padierna 1.86 5.62
## 413 Iztapalapa Churubusco 1.86 5.62
## 414 Iztapalapa El Prado 1.86 5.62
## 415 Iztapalapa Progresista 1.86 5.62
## 416 Gustavo A. Madero El Olivo 1.40 4.99
## 417 Alvaro Obregon Las aguilas 1.34 5.68
## 418 Benito Ju\xe1rez Xoco 0.35 6.23
## 419 Iztapalapa Santa Martha Acatitla 1.86 5.62
## 420 Tlahuac San Francisco Tlantenco 1.54 4.50
## 421 Azcapotzalco Nueva Santa maria 0.96 5.97
## 422 Cuahtemoc Melchor Ocampo 0.90 6.78
## 423 Alvaro Obregon La Otra banda 1.34 5.68
## 424 Coyoacan El Reloj 0.77 4.98
## 425 Iztapalapa San Juan Xalpa 1.86 5.62
## 426 Iztapalapa Granjas San Antonio 1.86 5.62
## 427 Iztapalapa Lomas Estrella 1.86 5.62
## 428 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 429 Iztapalapa Unidad Ej\xe9rcito Constitucionalista 1.86 5.62
## 430 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 431 Iztapalapa San Lucas 1.86 5.62
## 432 Miguel Hidalgo Escand\xf3n I 0.61 5.57
## 433 Iztapalapa Granjas San Antonio 1.86 5.62
## 434 Coyoacan Los Girasoles 0.77 4.98
## 435 Azcapotzalco Aldana Azcapotzalco 0.96 5.97
## 436 Iztapalapa Lomas de San Loerenzo 1.86 5.62
## 437 Alvaro Obregon San Pedro de los pinos 1.34 5.68
## 438 Gustavo A. Madero La Laguna Ticom\xe1n 1.40 4.99
## 439 Cuahtemoc Roma Sur 0.90 6.78
## 440 Alvaro Obregon San Angel 1.34 5.68
## 441 Iztapalapa Paraje San Juan 1.86 5.62
## 442 Gustavo A. Madero Gustavo A. Madero 1.40 4.99
## 443 Miguel Hidalgo Escand\xf3n I 0.61 5.57
## 444 Gustavo A. Madero Gabriel Hern\xe1ndez 1.40 4.99
## 445 Alvaro Obregon Santa Fe 1.34 5.68
## 446 Milpa alta SL 2.80 3.81
## 447 Iztapalapa Lomas de San Loerenzo 1.86 5.62
## 448 Iztapalapa Presidentes de M\xe9xico 1.86 5.62
## 449 Venustiano Carranza Nicol\xe1s Bravo 1.02 6.37
## 450 Xochimilco Nativitas 2.30 4.57
## 451 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 452 Tlahuac Francisco Landino 1.54 4.50
## 453 Venustiano Carranza Zona Centro 1.02 6.37
## 454 Venustiano Carranza Moctezuma 2a Secci\xf3n 1.02 6.37
## 455 Alvaro Obregon San Angel inn 1.34 5.68
## 456 Venustiano Carranza Nicol\xe1s Bravo 1.02 6.37
## 457 Tlalpan H\xe9roes de Padierna 1.39 4.60
## 458 Iztapalapa Fuentes de Zaragoza 1.86 5.62
## 459 Alvaro Obregon Ca\xf1ada 1.34 5.68
## 460 Benito Ju\xe1rez Postal 0.35 6.23
## 461 Iztapalapa Tepalcates 1.86 5.62
## 462 Venustiano Carranza General Ignacio Zaragoza 1.02 6.37
## 463 Iztapalapa Tapalcates 1.86 5.62
## 464 Alvaro Obregon Los alpes 1.34 5.68
## 465 Alvaro Obregon Florida 1.34 5.68
## 466 Azcapotzalco Nueva Santa maria 0.96 5.97
## 467 Xochimilco La Noria 2.30 4.57
## 468 Tlahuac Miguel Hidalgo 1.54 4.50
## 469 Alvaro Obregon Flor de Maria 1.34 5.68
## 470 Alvaro Obregon Santa Fe 1.34 5.68
## 471 Iztapalapa San Nicol\xe1s Tolentino 1.86 5.62
## 472 Cuajimalpa Bosques de las Lomas 1.55 5.76
## 473 Iztapalapa Cerro de la estrella 1.86 5.62
## 474 Gustavo A. Madero San Bartolo Atepehucan 1.40 4.99
## 475 Gustavo A. Madero Campestre Arag\xf3n 1.40 4.99
## 476 Tlahuac San Juan 1.54 4.50
## 477 Iztapalapa Constituci\xf3n 1.86 5.62
## 478 Cuahtemoc San Rafael 0.90 6.78
## 479 Benito Ju\xe1rez Tokio Portales 0.35 6.23
## 480 Milpa alta Emiliano Zapata 2.80 3.81
## 481 Tlahuac Villa centroamericana 1.54 4.50
## 482 Gustavo A. Madero Lindavista Norte 1.40 4.99
## 483 Coyoacan Miguel \xc1ngel de Quevedo Atl\xe1ntida 0.77 4.98
## 484 Gustavo A. Madero Guadalupe Proletaria 1.40 4.99
## 485 Iztacalco Iztacalco 1.13 4.47
## 486 Xochimilco Santa Mar\xeda Tepepan 2.30 4.57
## 487 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 488 Iztapalapa Eusebio Guajardo 1.86 5.62
## 489 Alvaro Obregon San Angel 1.34 5.68
## 490 Tlahuac La turba 1.54 4.50
## 491 Coyoacan Ciudad Jard\xedn 0.77 4.98
## 492 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 493 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 494 Miguel Hidalgo Polanco 0.61 5.57
## 495 Tlahuac Miguel Hidalgo 1.54 4.50
## 496 Coyoacan San Diego Churubusco 0.77 4.98
## 497 Alvaro Obregon Florida 1.34 5.68
## 498 Tlahuac La draga 1.54 4.50
## 499 Tlahuac Santa Ana Poniente 1.54 4.50
## 500 Gustavo A. Madero San Bartolo Atepehucan 1.40 4.99
## 501 Cuajimalpa Santa Fe 1.55 5.76
## 502 Tlahuac La draga 1.54 4.50
## 503 Coyoacan Barrio La Concepci\xf3n 0.77 4.98
## 504 Alvaro Obregon San Angel 1.34 5.68
## 505 Tlahuac Santa Ana 1.54 4.50
## 506 Xochimilco Tepepan 2.30 4.57
## 507 Gustavo A. Madero Santa Rosa 1.40 4.99
## 508 Iztapalapa Tepalcates 1.86 5.62
## 509 Gustavo A. Madero La Pur\xedsima Ticom\xe1n 1.40 4.99
## 510 Alvaro Obregon Santa Fe 1.34 5.68
## 511 Cuahtemoc Roma 0.90 6.78
## 512 Tlalpan Fuentes de Tepepan 1.39 4.60
## 513 Iztapalapa Citlalli 1.86 5.62
## 514 Coyoacan Pedregal de Carrasco 0.77 4.98
## 515 Iztapalapa Calzada Ermita 1.86 5.62
## 516 Benito Ju\xe1rez Zacahuitzco 0.35 6.23
## 517 Milpa alta Villa Milpa Alta 2.80 3.81
## 518 Milpa alta Consejo Agrarista 2.80 3.81
## 519 Coyoacan Pedregal de Carrasco 0.77 4.98
## 520 Tlalpan Lomas del Pedregal 1.39 4.60
## 521 Miguel Hidalgo Ampliaci\xf3n Granada 0.61 5.57
## 522 Xochimilco San Lorenzo La Cebada 2.30 4.57
## 523 Iztapalapa Lomas Estrella 1.86 5.62
## 524 Miguel Hidalgo Polanco 0.61 5.57
## 525 Alvaro Obregon Los alpes 1.34 5.68
## 526 Cuahtemoc Roma Norte 0.90 6.78
## 527 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 528 Alvaro Obregon Santa Fe 1.34 5.68
## 529 Azcapotzalco San Miguel Amantla 0.96 5.97
## 530 Coyoacan El Mirador 0.77 4.98
## 531 Iztapalapa Pol\xedtica 1.86 5.62
## 532 Azcapotzalco Tlatilco 0.96 5.97
## 533 Tlahuac Miguel Hidalgo 1.54 4.50
## 534 Cuahtemoc Roma Norte 0.90 6.78
## 535 Venustiano Carranza Zona Centro 1.02 6.37
## 536 Tlahuac Santa Ana Poniente 1.54 4.50
## 537 Iztapalapa Juan Escutia 1.86 5.62
## 538 Azcapotzalco Del recreo 0.96 5.97
## 539 Gustavo A. Madero Gustavo A. Madero 1.40 4.99
## 540 Tlahuac Los olivos 1.54 4.50
## 541 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 542 Tlahuac Villa centroamericana 1.54 4.50
## 543 Venustiano Carranza Nicol\xe1s Bravo 1.02 6.37
## 544 Gustavo A. Madero Vasco de Quiroga 1.40 4.99
## 545 Xochimilco Esmeralda 2.30 4.57
## 546 Cuajimalpa Santa Fe 1.55 5.76
## 547 Azcapotzalco Los reyes 0.96 5.97
## 548 Tlahuac Villa Centroamericana 1.54 4.50
## 549 Tlahuac La draga 1.54 4.50
## 550 Miguel Hidalgo Polanco 0.61 5.57
## 551 Iztapalapa San Juan Estrella 1.86 5.62
## 552 Alvaro Obregon San Angel 1.34 5.68
## 553 Alvaro Obregon San Angel 1.34 5.68
## 554 Cuajimalpa Lomas de Vista Hermosa 1.55 5.76
## 555 Cuajimalpa Cuajimalpa 1.55 5.76
## 556 Iztacalco Santa Anita 1.13 4.47
## 557 Coyoacan Pueblo de los Reyes 0.77 4.98
## 558 Alvaro Obregon Atlamaya 1.34 5.68
## 559 Gustavo A. Madero Vasco de Quiroga 1.40 4.99
## 560 Miguel Hidalgo Polanco 0.61 5.57
## 561 Tlahuac Miguel Hidalgo 1.54 4.50
## 562 Gustavo A. Madero Santiago Atepetlac 1.40 4.99
## 563 Azcapotzalco San Pedro Xalpa 0.96 5.97
## 564 Coyoacan Insurgentes Cuicuilco 0.77 4.98
## 565 Tlalpan Miguel Hidalgo 1.39 4.60
## 566 Tlahuac Santa Ana Poniente 1.54 4.50
## 567 Miguel Hidalgo Ampliaci\xf3n Granada 0.61 5.57
## 568 Miguel Hidalgo Bosque de las Lomas 0.61 5.57
## 569 Tlalpan Fuentes de Tepepan 1.39 4.60
## 570 Coyoacan Culhuac\xe1n 0.77 4.98
## 571 Xochimilco Santa Mar\xeda Nativitas 2.30 4.57
## 572 Cuajimalpa Bosques de las Lomas 1.55 5.76
## 573 Iztapalapa Calzada Ermita 1.86 5.62
## 574 Milpa alta San Pablo Ozotorepec 2.80 3.81
## 575 Alvaro Obregon Canoa Progreso Tizapan 1.34 5.68
## 576 Gustavo A. Madero El Coyol 1.40 4.99
## 577 Gustavo A. Madero Lindavista Norte 1.40 4.99
## 578 Tlalpan Fuentes del pedregal 1.39 4.60
## 579 Iztapalapa Juan Escutia 1.86 5.62
## 580 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 581 Iztapalapa Lomas Estrella 1.86 5.62
## 582 Alvaro Obregon Rincon de la bolsa 1.34 5.68
## 583 Benito Ju\xe1rez Portales 0.35 6.23
## 584 Iztapalapa Santa Martha Acatitla 1.86 5.62
## 585 Miguel Hidalgo Polanco 0.61 5.57
## 586 Tlahuac Santiago Zapotitlan 1.54 4.50
## 587 Benito Ju\xe1rez Santa Cruz Atoyac 0.35 6.23
## 588 Azcapotzalco Tecpan 4 0.96 5.97
## 589 Coyoacan San Diego Churubusco 0.77 4.98
## 590 Alvaro Obregon Santa Fe 1.34 5.68
## 591 Tlahuac Miguel Hidalgo 1.54 4.50
## 592 Coyoacan Coapa 0.77 4.98
## 593 Venustiano Carranza Magdalena Mixiuhca 1.02 6.37
## 594 Alvaro Obregon Los alpes 1.34 5.68
## 595 Alvaro Obregon Santa Fe 1.34 5.68
## 596 Xochimilco San Lorenzo 2.30 4.57
## 597 Coyoacan Culhuac\xe1n 0.77 4.98
## 598 Tlalpan Miguel Hidalgo 1.39 4.60
## 599 Gustavo A. Madero M\xe1rtires de R\xedo Blanco 1.40 4.99
## 600 Tlalpan Fuentes de Tepepan 1.39 4.60
## 601 Gustavo A. Madero Lindavista Norte 1.40 4.99
## 602 Iztapalapa Xalpa 1.86 5.62
## 603 Alvaro Obregon Jardines del Pedregal 1.34 5.68
## 604 Alvaro Obregon Olivar de los padres 1.34 5.68
## 605 Gustavo A. Madero Jorge Negrete 1.40 4.99
## 606 Tlahuac Del Mar 1.54 4.50
## 607 Iztapalapa San Miguel 1.86 5.62
## 608 Xochimilco RINC\xd3N DEL SUR 2.30 4.57
## 609 Coyoacan Pedregal de Santo Domingo 0.77 4.98
## 610 Gustavo A. Madero El Coyol 1.40 4.99
## 611 Alvaro Obregon Santa Fe 1.34 5.68
## 612 Xochimilco San Lorenzo La Cebada 2.30 4.57
## 613 Venustiano Carranza Artes Gr\xe1ficas 1.02 6.37
## 614 Miguel Hidalgo Polanco 0.61 5.57
## 615 Benito Ju\xe1rez Xoco 0.35 6.23
## 616 Alvaro Obregon Tizapan 1.34 5.68
## 617 Miguel Hidalgo Polanco 0.61 5.57
## 618 Benito Ju\xe1rez Narvarte 0.35 6.23
## 619 Alvaro Obregon Santa Fe 1.34 5.68
## 620 Gustavo A. Madero La Pur\xedsima Ticom\xe1n 1.40 4.99
## 621 Tlahuac San Juan 1.54 4.50
## 622 Alvaro Obregon Rincon de la bolsa 1.34 5.68
## 623 Tlalpan Lomas del Pedregal 1.39 4.60
## 624 Tlahuac Los Olivos 1.54 4.50
## 625 Iztapalapa Casa Blanca 1.86 5.62
## 626 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 627 Tlahuac Villa centroamericana 1.54 4.50
## 628 Tlalpan Granjas Coapa 1.39 4.60
## 629 Alvaro Obregon Tetelpan 1.34 5.68
## 630 Gustavo A. Madero Gustavo A. Madero 1.40 4.99
## 631 Alvaro Obregon Las aguilas 1.34 5.68
## 632 Alvaro Obregon Independencia San Ram\xf3n 1.34 5.68
## 633 Miguel Hidalgo Lomas de Chapultepec 0.61 5.57
## 634 Milpa alta San Pedro Actocpan 2.80 3.81
## 635 Gustavo A. Madero La Laguna Ticom\xe1n 1.40 4.99
## 636 Tlahuac Zapotitla 1.54 4.50
## 637 Coyoacan Xotepingo 0.77 4.98
## 638 Tlahuac Viola Centroam\xe9rica 1.54 4.50
## 639 Venustiano Carranza Morelos 1.02 6.37
## 640 Miguel Hidalgo Polanco 0.61 5.57
## 641 Iztapalapa Lomas Estrella 1.86 5.62
## 642 Venustiano Carranza Morelos 1.02 6.37
## 643 Iztapalapa Martha Acatitla 1.86 5.62
## 644 Coyoacan Insurgentes San Angel 0.77 4.98
## 645 Cuahtemoc Condesa 0.90 6.78
## 646 Alvaro Obregon Las \xe1guilas 1.34 5.68
## 647 Venustiano Carranza Lorenzo Boturini 1.02 6.37
## 648 Cuahtemoc Santa Maria La Ribera 0.90 6.78
## 649 Cuahtemoc Ju\xe1rez 0.90 6.78
## 650 Alvaro Obregon San Angel 1.34 5.68
## 651 Iztapalapa San Juan Xalpa 1.86 5.62
## 652 Iztapalapa Tepalcates 1.86 5.62
## 653 Alvaro Obregon San Angel 1.34 5.68
## 654 Benito Ju\xe1rez Narvarte 0.35 6.23
## 655 Coyoacan Villa Panamericana 0.77 4.98
## 656 La Magdalena Contreras San Jer\xf3nimo L\xedndice 1.86 5.62
## 657 Iztapalapa Totli 1.86 5.62
## 658 Azcapotzalco Claveria 0.96 5.97
## X3 X4 X5 X6 X7 X8 X9 X10 Cocina_equip Gimnasio
## 1 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 2 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 3 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 4 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 5 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 6 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 7 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 8 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 9 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 10 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 11 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 12 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 13 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 14 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 15 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 16 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 17 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 18 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 19 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 20 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 21 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si Si
## 22 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 23 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 24 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 25 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 26 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 27 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 28 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 29 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 30 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 31 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 32 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 33 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 34 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 35 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si No
## 36 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 37 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 38 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 39 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 40 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 41 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 42 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 43 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 44 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 45 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 46 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 47 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 48 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 49 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 50 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 51 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 52 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 53 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 54 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 55 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 56 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 57 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 58 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 59 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 60 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 61 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 62 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 63 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 64 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 65 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 66 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 67 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 68 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 69 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 70 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 71 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 72 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 73 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 74 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 75 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 76 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 77 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 78 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 79 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 80 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 81 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 82 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 83 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 84 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 85 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 86 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 87 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 88 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 89 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 90 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 91 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 92 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 93 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 94 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 95 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 96 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si No
## 97 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 98 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 99 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 100 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 101 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 102 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 103 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 104 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 105 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si No
## 106 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 107 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 108 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 109 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 110 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 111 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 112 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 113 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 114 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 115 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 116 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 117 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 No No
## 118 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 119 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 120 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 121 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 122 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 123 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 124 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 125 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 126 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 127 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 128 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si Si
## 129 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si Si
## 130 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 131 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 132 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 133 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 134 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 135 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 136 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 137 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 138 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 139 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 140 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 141 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 142 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 No No
## 143 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 144 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 145 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 146 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 147 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 148 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 149 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si No
## 150 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 151 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 152 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 153 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 154 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 155 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 156 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 157 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 158 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 159 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 No No
## 160 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 161 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 162 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 163 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 164 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 165 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 166 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 167 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 168 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 169 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 170 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 171 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 172 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 173 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 174 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 175 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 176 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## 177 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## 178 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 Si No
## 179 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 180 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 181 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 182 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 183 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 184 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 185 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 186 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 187 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 188 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 189 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 190 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 No No
## 191 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 192 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 193 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 194 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 195 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 196 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 197 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 198 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 199 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 200 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 201 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 202 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 203 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 204 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 205 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 206 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 207 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 208 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 209 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 210 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 211 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 212 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 213 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 214 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 215 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 216 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 217 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 218 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 219 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 220 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 221 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 222 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 223 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 224 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 225 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si Si
## 226 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 227 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 228 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 229 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 230 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 231 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 232 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 233 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 234 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 235 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 236 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 237 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 238 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 239 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 240 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 241 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 242 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 243 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 244 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 245 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 246 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 247 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 248 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 249 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 250 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 251 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 252 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 253 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 254 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 No No
## 255 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si Si
## 256 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 257 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 258 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 259 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 260 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 261 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 262 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 263 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 264 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 265 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si Si
## 266 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 267 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 268 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si No
## 269 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 270 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 271 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 272 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 273 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 274 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 275 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si No
## 276 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 277 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 278 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 279 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 280 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 281 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 282 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 283 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 284 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 285 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 286 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 287 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 288 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 289 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 290 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 291 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 292 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 293 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 294 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 295 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 296 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 297 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 298 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 299 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 300 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 301 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 302 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## 303 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 304 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 305 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 306 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 307 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 308 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 309 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 310 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 311 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 312 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 313 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 314 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 315 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 316 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 317 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 318 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 319 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 320 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 321 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 322 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 323 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 324 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 325 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 326 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 327 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 328 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 No No
## 329 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 330 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 331 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 332 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 333 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 334 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 335 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 336 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 337 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 338 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 339 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si Si
## 340 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 341 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si Si
## 342 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 343 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 344 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 345 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 346 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 347 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 348 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 349 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 350 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 351 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 352 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 353 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 354 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 355 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 356 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 357 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 358 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 359 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 360 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 361 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 No No
## 362 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 363 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 364 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 365 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 366 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 367 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 368 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si Si
## 369 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 370 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 371 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 372 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 373 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si No
## 374 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si Si
## 375 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 376 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 377 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 378 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 379 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 380 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 381 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 382 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 383 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 384 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 385 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 386 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 387 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 388 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 389 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 390 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si No
## 391 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 392 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 393 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 394 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 395 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 396 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 397 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 398 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 399 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 400 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 401 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 402 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## 403 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 404 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 405 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 406 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 407 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 408 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 409 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 410 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 411 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 412 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 413 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 414 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 415 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 416 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 417 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 418 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 419 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 420 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 421 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 422 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 423 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 424 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 425 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 426 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 427 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 428 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 429 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 430 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 431 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 432 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 433 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 434 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 435 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 436 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 437 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 438 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 439 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 440 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 441 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 442 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 443 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 444 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 445 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 446 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 447 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 448 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 449 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 450 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 451 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 452 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 453 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 454 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 455 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 456 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 457 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 458 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 459 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 460 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 461 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 462 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 463 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 464 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 465 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 466 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 467 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 No No
## 468 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 469 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 470 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 471 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 472 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si No
## 473 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 474 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 475 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 476 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 477 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 478 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 479 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 480 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 Si Si
## 481 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 482 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 483 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 484 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 485 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si No
## 486 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 487 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 488 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 489 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 490 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 491 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 492 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 493 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 494 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 495 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 496 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 497 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 498 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 499 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 500 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 501 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si No
## 502 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 503 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 504 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 505 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 506 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 507 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 508 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 509 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 510 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 511 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 512 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 513 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 514 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 515 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 516 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 517 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 518 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 519 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 520 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 521 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 522 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 523 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 524 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 525 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 526 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 527 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 528 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 529 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## 530 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 531 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 532 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 533 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 534 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 535 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 536 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 537 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 538 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 539 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 540 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 541 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 542 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 543 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 544 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 545 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 546 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 547 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 548 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 549 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 550 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 551 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 552 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 553 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 554 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 555 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 556 41.42 16.97 26.97 2.92 0.07 0.05 7.68 39.10 Si No
## 557 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 558 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 559 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 560 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 561 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 562 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 563 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## 564 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 565 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 566 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 567 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 568 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si Si
## 569 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 570 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 571 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 572 44.36 18.90 24.42 4.17 0.43 0.06 6.68 39.65 Si Si
## 573 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 574 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 575 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 576 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 577 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 578 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 579 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 580 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 581 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 582 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 583 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 584 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 585 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 586 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 587 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 588 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si No
## 589 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 590 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 591 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 592 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 593 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 594 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 595 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 596 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 597 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 598 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 599 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 600 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 601 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 602 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 603 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 604 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 605 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 606 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 607 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 608 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 609 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 610 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 611 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 612 46.68 21.30 32.14 6.81 10.21 0.17 8.25 50.06 Si No
## 613 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 614 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 615 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 616 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 617 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 618 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si No
## 619 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 620 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 621 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 622 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 623 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 624 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 625 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 626 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 627 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 628 40.26 16.53 27.88 3.71 3.91 0.08 6.22 36.76 Si Si
## 629 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 630 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 631 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 632 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si No
## 633 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 634 51.23 23.46 30.32 8.53 6.47 0.23 13.06 63.97 No No
## 635 40.21 18.21 25.42 2.92 0.30 0.05 9.53 43.86 Si No
## 636 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 Si No
## 637 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si Si
## 638 46.56 20.05 26.78 5.04 0.96 0.10 9.61 52.75 No No
## 639 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 640 35.54 10.50 18.46 1.06 0.07 0.03 4.50 20.12 Si No
## 641 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 642 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 643 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 644 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 645 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si Si
## 646 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 647 43.62 16.35 28.25 2.28 0.06 0.04 8.15 39.08 Si No
## 648 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 649 42.09 12.23 26.83 1.70 0.11 0.05 6.21 30.68 Si No
## 650 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 651 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 652 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 653 42.85 17.83 23.74 3.19 0.28 0.03 6.98 36.60 Si Si
## 654 31.70 6.07 20.07 0.48 0.03 0.02 3.17 15.15 Si Si
## 655 32.91 10.97 24.55 1.70 0.05 0.03 5.47 25.71 Si No
## 656 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si Si
## 657 47.82 21.69 32.20 4.54 0.71 0.17 9.56 50.08 Si No
## 658 38.99 15.50 20.61 1.83 0.46 0.03 7.57 35.22 Si Si
## Amueblado Alberca Terraza Elevador m2_construido Banos Recamaras
## 1 No No Si Si 150 2.0 3
## 2 No No No No 51 1.0 2
## 3 No No Si Si 305 3.0 3
## 4 No No No No 42 1.0 2
## 5 No No No No 50 1.0 2
## 6 No No No No 80 1.0 2
## 7 No No Si Si 163 2.0 3
## 8 No No Si Si 144 2.5 3
## 9 No No No No 50 1.0 2
## 10 No No No No 64 1.0 2
## 11 No No Si No 87 1.0 3
## 12 No No No No 83 1.0 3
## 13 No No Si No 85 1.0 3
## 14 Si No No No 70 1.0 2
## 15 No No No No 52 1.0 2
## 16 Si No Si Si 450 5.0 4
## 17 No Si Si Si 138 2.0 3
## 18 No No No No 68 1.0 2
## 19 No No No No 55 1.5 2
## 20 No No No Si 60 1.0 2
## 21 No No Si Si 105 2.0 2
## 22 No No Si Si 170 2.0 3
## 23 No No No No 50 1.0 2
## 24 No Si No Si 366 3.5 3
## 25 No Si Si Si 146 3.0 2
## 26 No No Si No 85 2.0 3
## 27 No No No Si 57 1.0 2
## 28 No No No Si 59 1.0 2
## 29 No No No No 60 1.0 2
## 30 No No No No 69 2.0 3
## 31 No No Si Si 112 2.0 3
## 32 No No No No 42 1.0 2
## 33 No No No No 44 1.0 2
## 34 No Si Si Si 197 3.5 3
## 35 No No Si No 70 1.0 2
## 36 No No No No 51 1.0 2
## 37 No No No Si 76 1.0 3
## 38 No No No Si 54 1.0 2
## 39 No No No No 60 1.0 2
## 40 No No No Si 70 2.0 3
## 41 No Si Si Si 269 3.5 3
## 42 No No No No 63 1.0 2
## 43 No Si Si Si 126 2.0 3
## 44 No No No Si 80 1.0 2
## 45 No No No Si 47 1.0 2
## 46 No No Si Si 76 2.0 3
## 47 No No Si No 72 2.0 2
## 48 No No Si Si 287 3.0 3
## 49 No No No No 55 1.0 2
## 50 No No Si Si 90 2.0 2
## 51 No No No No 51 1.0 2
## 52 No Si Si Si 336 3.0 3
## 53 No No Si Si 54 1.0 2
## 54 No No No Si 90 2.0 3
## 55 No Si Si Si 144 2.0 3
## 56 No No No No 85 5.0 4
## 57 No No Si Si 158 2.0 3
## 58 No No Si No 132 2.0 2
## 59 No Si Si Si 500 4.0 4
## 60 No No Si Si 261 2.0 3
## 61 No No Si Si 80 2.0 2
## 62 No No No No 50 1.0 2
## 63 No Si Si Si 138 4.0 2
## 64 No No No No 54 1.0 2
## 65 No No No No 58 1.0 2
## 66 No No No No 42 1.0 2
## 67 No No No No 50 1.0 2
## 68 No No No No 49 1.0 2
## 69 No No Si Si 110 3.0 3
## 70 No No No Si 66 1.0 2
## 71 No No Si Si 86 2.0 2
## 72 No No Si Si 67 2.0 2
## 73 No No No Si 60 1.0 2
## 74 No Si Si Si 77 2.0 2
## 75 No No No No 67 2.0 2
## 76 No No Si No 65 1.0 3
## 77 No No No No 85 1.0 2
## 78 No No No No 95 2.0 2
## 79 No Si Si Si 172 2.0 3
## 80 No Si Si Si 170 3.0 2
## 81 No Si Si Si 243 4.0 4
## 82 No No Si No 103 2.0 3
## 83 No Si Si Si 56 1.5 1
## 84 No No No Si 80 2.0 3
## 85 No No Si Si 118 2.0 3
## 86 No No No No 84 2.0 3
## 87 No No No Si 58 1.0 2
## 88 No Si Si Si 109 2.0 2
## 89 No No No No 59 1.0 2
## 90 No Si Si Si 167 2.0 3
## 91 No si Si Si 134 2.0 3
## 92 No No Si Si 120 2.0 2
## 93 No Si Si Si 420 4.0 2
## 94 No No No Si 48 1.0 2
## 95 No No Si No 315 3.0 3
## 96 No No Si Si 126 2.5 2
## 97 No No No No 100 1.0 2
## 98 No No No No 90 1.0 2
## 99 No No No Si 75 1.0 2
## 100 No No Si Si 238 2.0 3
## 101 No No No No 54 1.0 2
## 102 No No Si Si 60 2.0 2
## 103 No No No No 50 1.0 2
## 104 No No Si No 70 1.0 2
## 105 No No Si Si 71 1.0 3
## 106 No No No No 107 2.0 3
## 107 No No Si Si 90 2.0 2
## 108 No No No No 59 1.0 2
## 109 No Si Si Si 91 2.0 3
## 110 No No No No 73 1.0 3
## 111 No No No No 55 1.0 3
## 112 No No No Si 71 2.0 2
## 113 No No Si Si 86 1.0 2
## 114 No Si Si Si 447 4.0 4
## 115 No Si Si Si 84 2.0 2
## 116 No No No No 60 1.0 2
## 117 No No No No 45 1.0 2
## 118 No No Si Si 105 2.0 2
## 119 No No No No 48 1.0 2
## 120 No No No No 63 1.0 3
## 121 No No No No 60 1.0 2
## 122 No No Si Si 64 1.0 2
## 123 No No No No 58 1.0 2
## 124 No Si Si Si 195 2.5 2
## 125 No No No No 76 1.0 2
## 126 No Si Si Si 122 3.0 2
## 127 No No No No 65 1.0 2
## 128 No No Si No 55 1.0 2
## 129 No Si Si Si 85 1.0 1
## 130 No No No Si 46 1.0 2
## 131 No No Si Si 85 2.0 2
## 132 No No Si Si 71 2.0 2
## 133 No No No No 60 1.0 2
## 134 No No Si Si 134 2.0 2
## 135 No No Si Si 180 2.0 3
## 136 No No Si Si 65 2.0 2
## 137 No No No No 58 1.0 2
## 138 No No No No 44 1.0 2
## 139 No No Si Si 63 2.0 2
## 140 No No Si Si 60 2.0 2
## 141 No No No Si 80 1.0 3
## 142 No No No No 73 1.0 3
## 143 No No No Si 136 2.0 3
## 144 No No No No 74 1.0 3
## 145 No No No No 61 1.0 2
## 146 No No Si No 85 2.0 3
## 147 No No No No 54 1.0 2
## 148 No No No No 65 1.0 2
## 149 No No Si Si 71 2.0 2
## 150 No No No Si 79 1.0 2
## 151 No No No No 49 1.0 2
## 152 No Si Si Si 129 2.0 2
## 153 No No No Si 80 1.0 2
## 154 No No Si Si 286 4.0 3
## 155 No No No No 41 1.0 2
## 156 No No No No 48 1.0 2
## 157 No No Si Si 71 2.0 2
## 158 No No Si Si 193 3.0 3
## 159 No No No No 62 1.0 1
## 160 No No No No 60 2.0 2
## 161 No No No No 80 1.0 2
## 162 No No Si No 66 1.0 2
## 163 No No No No 70 1.0 3
## 164 No No Si No 78 1.0 3
## 165 No No No No 45 1.0 2
## 166 Si No No No 69 1.0 3
## 167 No No Si Si 71 2.0 2
## 168 No No No No 54 1.0 2
## 169 No No No No 65 1.0 3
## 170 No No No Si 220 2.0 3
## 171 No No No No 76 1.0 2
## 172 No No Si Si 77 2.0 2
## 173 No No No No 56 1.0 2
## 174 No No Si Si 174 2.0 3
## 175 No No No Si 60 1.0 2
## 176 No No Si Si 60 1.0 2
## 177 Si Si Si Si 60 2.0 3
## 178 No No No No 50 1.0 2
## 179 No Si Si Si 190 2.0 3
## 180 No No No No 60 1.0 2
## 181 No No Si Si 95 2.0 3
## 182 No Si Si Si 172 2.0 3
## 183 No No Si Si 139 2.0 2
## 184 No No No No 65 1.0 2
## 185 No Si Si Si 235 3.0 3
## 186 No No No No 52 1.0 2
## 187 No No No No 64 1.0 3
## 188 No No Si Si 65 2.0 2
## 189 No No No No 73 1.0 3
## 190 No No Si No 60 1.0 2
## 191 No No No Si 57 1.0 2
## 192 No No Si No 78 2.0 3
## 193 No Si Si Si 80 2.0 2
## 194 No No No No 68 1.0 2
## 195 No No No Si 60 1.0 2
## 196 Si No No No 51 1.0 2
## 197 No No No No 80 1.0 2
## 198 No Si Si Si 110 3.0 3
## 199 No No No No 64 1.0 2
## 200 No No Si Si 210 3.0 3
## 201 No No Si No 85 1.0 2
## 202 No No No No 63 1.0 2
## 203 No No Si Si 60 1.0 2
## 204 No No No No 49 1.0 2
## 205 No Si Si Si 250 4.0 3
## 206 No Si Si No 300 3.0 3
## 207 No No No No 48 1.0 2
## 208 No Si Si Si 146 2.0 2
## 209 No No Si Si 53 1.0 1
## 210 No No No Si 70 1.0 2
## 211 No Si Si Si 320 5.0 3
## 212 No No No Si 91 2.0 2
## 213 No No No No 83 2.0 2
## 214 No Si Si Si 166 2.0 3
## 215 No Si Si Si 472 3.0 3
## 216 No No Si No 173 2.0 2
## 217 No No No Si 54 1.0 2
## 218 No No No No 65 1.0 2
## 219 No No No No 49 1.0 2
## 220 No No Si Si 253 3.0 3
## 221 No No Si No 115 3.0 3
## 222 No No No Si 58 1.0 2
## 223 No No No No 48 1.0 2
## 224 No No Si No 80 1.0 3
## 225 No No Si Si 67 2.0 2
## 226 No Si Si Si 134 2.0 3
## 227 No No No No 52 1.0 2
## 228 No No Si No 106 2.5 3
## 229 No No No Si 57 1.0 2
## 230 No No No No 86 1.0 2
## 231 No No No Si 80 1.0 2
## 232 No No Si Si 67 2.0 3
## 233 No No Si No 55 1.0 2
## 234 No No No Si 75 1.5 3
## 235 No No No No 51 1.0 2
## 236 No No Si Si 139 4.0 2
## 237 No No Si Si 70 1.0 1
## 238 No No No No 69 2.0 2
## 239 No No No No 60 1.0 2
## 240 No No Si Si 96 2.0 2
## 241 No No Si Si 122 2.0 2
## 242 No No No Si 54 1.0 2
## 243 No No Si No 72 1.0 2
## 244 No No No No 42 1.0 2
## 245 No No Si No 44 1.0 2
## 246 No No No No 42 1.0 2
## 247 No Si Si Si 147 2.0 3
## 248 No No No No 50 1.0 2
## 249 No No No No 50 1.0 2
## 250 Si No No No 110 2.0 3
## 251 No No No No 55 1.0 2
## 252 No No Si Si 109 2.0 2
## 253 No No No Si 60 1.0 2
## 254 No No No No 53 1.0 2
## 255 Si Si Si Si 50 2.0 2
## 256 No No No No 51 1.0 2
## 257 No No No No 65 1.0 2
## 258 No No Si Si 52 1.0 2
## 259 No No No Si 60 1.0 2
## 260 No No Si Si 110 2.0 2
## 261 No Si Si Si 462 3.0 4
## 262 No No No Si 58 1.0 2
## 263 No No No No 47 1.0 2
## 264 No No Si No 53 1.0 2
## 265 No No Si Si 43 1.0 1
## 266 Si Si Si Si 160 2.0 3
## 267 No No Si No 89 2.0 2
## 268 No No Si Si 250 3.0 3
## 269 No Si Si Si 447 5.0 4
## 270 No No No No 70 1.0 2
## 271 No No Si Si 110 2.0 3
## 272 No No No Si 196 3.0 3
## 273 No No Si Si 74 2.0 2
## 274 No No Si Si 120 3.0 3
## 275 No No No No 142 3.5 3
## 276 No Si Si Si 97 2.0 3
## 277 No No No Si 90 1.0 2
## 278 No Si Si Si 60 1.0 1
## 279 No No No No 84 2.0 3
## 280 No No No No 70 2.0 2
## 281 No No No No 60 2.0 2
## 282 No Si Si Si 330 3.0 3
## 283 No No No No 70 1.0 2
## 284 No No No No 60 1.0 2
## 285 No No Si Si 200 2.0 3
## 286 No No Si Si 87 2.0 2
## 287 No No No No 56 1.0 2
## 288 No No No Si 82 1.0 3
## 289 No Si Si Si 94 2.0 2
## 290 No No No No 61 1.0 2
## 291 No Si Si Si 65 1.0 1
## 292 No No No Si 182 2.0 3
## 293 No No No No 48 1.0 2
## 294 No No Si Si 93 2.0 2
## 295 No No Si No 70 2.0 2
## 296 No Si Si Si 86 2.0 2
## 297 No No No No 450 3.0 4
## 298 No No No No 46 1.0 2
## 299 No No No No 60 2.0 2
## 300 No No No No 86 1.0 3
## 301 No Si Si Si 155 2.0 3
## 302 No No Si Si 61 2.0 2
## 303 No No No Si 81 1.0 2
## 304 No No No Si 70 3.0 2
## 305 No No No No 46 1.0 2
## 306 No No Si Si 66 2.0 2
## 307 No Si Si si 129 2.0 2
## 308 No No No No 49 1.0 2
## 309 No No Si Si 112 2.0 2
## 310 No No No No 50 1.0 2
## 311 No Si Si Si 177 2.0 3
## 312 No No No No 80 1.0 2
## 313 No No Si Si 184 2.0 2
## 314 No No No No 50 1.0 2
## 315 No Si Si Si 217 3.0 3
## 316 No No No No 63 1.0 2
## 317 No No Si No 90 1.0 2
## 318 No No No No 60 1.0 2
## 319 No No No No 62 1.0 2
## 320 No No No No 136 2.0 3
## 321 No No Si No 165 2.0 2
## 322 No Si Si Si 80 2.0 2
## 323 No No No No 67 2.0 3
## 324 No No No No 70 1.0 2
## 325 No No No Si 85 1.0 3
## 326 No No No Si 80 1.0 2
## 327 No No No Si 80 1.0 3
## 328 No No No No 80 1.0 2
## 329 No No No Si 50 1.0 2
## 330 No No No No 60 1.0 2
## 331 No Si Si Si 240 2.0 3
## 332 No No Si Si 270 2.5 3
## 333 No Si Si Si 196 2.0 2
## 334 No No No Si 70 2.0 3
## 335 No Si Si Si 74 2.0 2
## 336 No No No No 42 1.0 1
## 337 No No No No 74 1.0 2
## 338 No No No No 93 2.0 3
## 339 No Si Si Si 93 2.0 2
## 340 No No Si Si 52 2.0 2
## 341 No Si Si Si 59 1.0 1
## 342 No No Si Si 51 1.0 2
## 343 No No No No 56 1.0 2
## 344 No Si Si Si 148 2.0 2
## 345 No No No No 53 1.0 2
## 346 Si Si Si Si 107 2.0 2
## 347 No No No No 61 2.0 2
## 348 No No No Si 114 2.0 3
## 349 No No No No 95 1.0 3
## 350 No No Si Si 90 2.0 3
## 351 No Si Si Si 110 2.0 2
## 352 No No Si Si 62 2.0 2
## 353 No No Si Si 200 4.0 3
## 354 No Si Si Si 149 3.0 2
## 355 No No Si Si 98 2.0 3
## 356 No No No No 43 1.0 2
## 357 No Si Si Si 172 2.0 3
## 358 No No No No 65 1.0 2
## 359 No No Si No 105 2.0 3
## 360 No No No Si 71 1.0 2
## 361 No No Si No 119 2.0 2
## 362 No No No No 56 1.0 2
## 363 No No No Si 54 1.0 2
## 364 No No No No 44 1.0 2
## 365 No No No No 54 1.0 2
## 366 No No No No 55 1.0 2
## 367 No No Si Si 122 3.0 2
## 368 No No Si Si 57 2.0 2
## 369 No No Si Si 90 2.0 1
## 370 No No No No 42 1.0 2
## 371 No No No No 65 1.0 2
## 372 No No No Si 120 3.0 3
## 373 No No Si Si 229 3.0 3
## 374 No Si Si Si 77 2.0 2
## 375 No No Si Si 71 2.0 2
## 376 No No Si Si 256 4.0 3
## 377 No No No Si 137 3.0 3
## 378 No No No No 46 1.0 2
## 379 No No No No 61 1.0 2
## 380 No No Si Si 131 2.0 3
## 381 No No Si Si 71 2.0 2
## 382 No No No No 64 2.0 2
## 383 No Si Si Si 107 2.0 3
## 384 No No No No 50 1.0 2
## 385 No Si Si Si 300 3.0 3
## 386 No No Si Si 250 3.0 4
## 387 No No Si Si 217 2.0 3
## 388 No No No Si 40 1.0 2
## 389 No No No No 66 1.0 2
## 390 No No No No 75 1.0 3
## 391 No Si Si Si 400 4.5 3
## 392 No No Si Si 230 3.0 3
## 393 No Si Si Si 129 2.0 2
## 394 No No No Si 91 1.0 3
## 395 No No Si Si 126 2.0 2
## 396 No No No Si 65 1.0 2
## 397 No No No No 50 1.0 1
## 398 No No No No 50 1.0 2
## 399 No No Si No 68 1.0 3
## 400 No No No No 54 1.0 2
## 401 No No No No 200 2.0 2
## 402 No Si Si Si 68 2.0 2
## 403 No No No Si 62 1.0 2
## 404 No No No No 73 2.0 2
## 405 No Si Si Si 84 2.5 2
## 406 No Si Si Si 234 4.0 3
## 407 No No No Si 65 1.0 2
## 408 No No No No 57 1.0 2
## 409 No No Si Si 56 1.0 2
## 410 No No No No 80 1.0 3
## 411 No No No No 70 1.0 2
## 412 No Si Si Si 447 4.0 4
## 413 Si No No No 70 1.0 3
## 414 No No No No 56 1.0 2
## 415 No No No No 60 1.0 2
## 416 No No No Si 90 1.0 2
## 417 No Si Si Si 137 2.0 3
## 418 No Si Si Si 118 3.0 3
## 419 No No No No 57 1.0 2
## 420 No No No No 65 2.0 2
## 421 No No No No 82 1.0 2
## 422 No No Si Si 64 1.0 1
## 423 No Si Si Si 229 3.0 3
## 424 No Si Si Si 35 1.0 1
## 425 No No No No 56 1.0 2
## 426 No No No No 70 1.0 2
## 427 No No No No 70 1.0 2
## 428 No No Si Si 220 3.0 3
## 429 No No No No 45 1.0 2
## 430 No No Si No 340 3.0 3
## 431 No No No No 49 1.0 2
## 432 No No Si Si 160 2.0 2
## 433 No No No No 51 1.0 2
## 434 No No No No 106 1.0 3
## 435 No No Si Si 53 1.0 2
## 436 No No No No 60 1.0 3
## 437 No No Si Si 101 2.0 3
## 438 No No No Si 86 1.0 3
## 439 No No Si Si 83 2.0 2
## 440 No Si Si Si 77 2.0 2
## 441 No No No No 69 1.0 2
## 442 No No No No 65 1.0 2
## 443 No No Si Si 123 2.0 2
## 444 No No No Si 65 1.0 2
## 445 No Si Si Si 200 4.0 3
## 446 No No No No 50 2.0 4
## 447 Si No No No 53 1.0 2
## 448 No No No No 55 1.0 2
## 449 No No No Si 80 1.0 2
## 450 No No No No 60 1.0 2
## 451 No No Si Si 111 2.0 3
## 452 No No No No 51 1.0 2
## 453 No No No No 55 1.0 2
## 454 No No No Si 46 1.0 2
## 455 No No Si Si 41 1.0 1
## 456 No No No Si 64 1.0 2
## 457 No No Si Si 210 3.0 3
## 458 No No No No 57 1.0 2
## 459 No No Si Si 80 2.0 2
## 460 No No Si Si 57 1.0 1
## 461 No No No No 63 1.0 2
## 462 No No No Si 55 1.0 2
## 463 No No No No 52 1.0 2
## 464 Si Si Si Si 140 2.5 3
## 465 No No Si Si 125 3.0 3
## 466 No No No Si 55 1.0 2
## 467 No No Si No 55 1.0 2
## 468 No No No No 51 1.0 2
## 469 No No Si Si 180 2.0 2
## 470 No Si Si Si 157 3.0 3
## 471 No No No No 61 1.0 2
## 472 No No Si Si 240 3.0 3
## 473 No No No No 46 1.0 2
## 474 No No No Si 116 1.5 4
## 475 No No No Si 57 1.0 2
## 476 No No No No 94 1.0 2
## 477 No No No No 60 1.0 2
## 478 No No Si Si 106 2.0 2
## 479 No No No No 70 2.0 2
## 480 No Si Si Si 68 1.0 1
## 481 No No No No 110 2.0 3
## 482 No No Si No 60 1.0 2
## 483 No No Si Si 70 1.0 2
## 484 No No No Si 70 1.0 2
## 485 No No No No 73 1.0 2
## 486 No No No No 98 2.0 3
## 487 No No Si Si 167 2.0 2
## 488 No No No Si 64 1.0 2
## 489 No Si Si Si 136 4.0 3
## 490 No No No No 50 1.0 2
## 491 No Si Si Si 55 1.0 2
## 492 No No Si Si 72 2.0 3
## 493 No Si Si Si 313 3.0 5
## 494 No No Si No 140 2.0 2
## 495 No No No No 59 1.0 2
## 496 No No Si Si 54 1.0 2
## 497 No No Si No 229 3.5 3
## 498 No No No No 52 1.0 2
## 499 No No No No 44 1.0 2
## 500 No No Si Si 200 2.0 3
## 501 No No Si Si 320 3.0 3
## 502 No No No No 60 1.0 2
## 503 No No No No 102 2.0 3
## 504 No No Si No 250 3.0 2
## 505 No No No No 55 1.0 2
## 506 No No Si Si 172 2.0 3
## 507 No No No Si 47 1.0 2
## 508 No No Si Si 67 2.0 3
## 509 No No No Si 70 2.5 3
## 510 No No Si Si 124 2.0 2
## 511 No No Si Si 65 1.0 1
## 512 No No Si Si 93 2.0 2
## 513 No No No No 51 1.0 2
## 514 No Si Si Si 75 2.0 2
## 515 No No No No 49 1.0 2
## 516 No No Si Si 121 2.0 2
## 517 No No No No 50 1.0 2
## 518 No No No No 80 1.0 2
## 519 No Si Si Si 86 2.0 2
## 520 No No Si Si 217 4.0 3
## 521 No Si Si Si 167 2.0 3
## 522 No No Si Si 34 1.0 1
## 523 No No No No 50 1.0 2
## 524 No No Si No 219 2.0 2
## 525 No Si Si Si 76 2.0 2
## 526 No No Si No 92 2.0 2
## 527 No No Si Si 270 3.0 4
## 528 No Si Si Si 97 2.0 3
## 529 No No Si Si 68 2.0 2
## 530 No No No Si 65 2.0 2
## 531 No No No No 55 1.0 2
## 532 No No Si Si 44 1.0 2
## 533 No No No No 50 2.0 1
## 534 No No Si Si 100 2.0 2
## 535 No No No No 60 1.0 2
## 536 No No No No 50 1.0 2
## 537 Si No No No 107 2.0 3
## 538 No No No No 60 1.0 2
## 539 No No No Si 59 1.0 2
## 540 No No No No 42 1.0 2
## 541 No No Si Si 135 2.0 3
## 542 No No No No 40 1.0 2
## 543 No No No Si 74 2.0 2
## 544 No No Si No 60 1.0 2
## 545 No No Si Si 90 2.0 2
## 546 No Si Si Si 150 2.0 2
## 547 No No No Si 85 2.0 3
## 548 No No No No 48 1.0 2
## 549 No No No No 46 1.0 2
## 550 No No Si Si 185 3.0 2
## 551 No No No No 60 1.0 3
## 552 No No Si Si 135 2.0 3
## 553 No Si Si Si 160 2.0 2
## 554 No Si Si Si 467 3.5 3
## 555 No Si Si Si 248 3.0 3
## 556 No No No No 57 1.0 2
## 557 No No Si Si 54 1.0 2
## 558 No Si Si Si 137 3.0 3
## 559 No No No No 60 1.0 2
## 560 No No Si Si 155 2.0 3
## 561 No No No No 52 1.0 2
## 562 No No No Si 59 1.0 2
## 563 No No No Si 66 2.0 2
## 564 No No Si Si 206 2.0 2
## 565 No No Si No 71 2.0 2
## 566 No No No No 48 1.0 2
## 567 No Si Si Si 240 4.0 3
## 568 No Si Si Si 192 2.0 3
## 569 No No Si Si 126 3.0 3
## 570 No No No No 52 1.0 2
## 571 No No Si Si 70 2.0 2
## 572 No Si Si Si 257 3.0 3
## 573 No No No No 49 1.0 2
## 574 No No No No 53 1.0 3
## 575 No Si No Si 192 4.0 3
## 576 No No No Si 80 2.0 3
## 577 No No No No 115 1.0 2
## 578 No No Si Si 193 3.0 3
## 579 No No No No 81 1.0 2
## 580 No No Si Si 150 2.0 3
## 581 No No No No 81 1.0 3
## 582 No Si Si Si 197 3.5 3
## 583 No No Si No 93 2.0 2
## 584 No No No No 42 1.0 2
## 585 No No Si Si 204 2.0 2
## 586 No No No No 53 1.0 2
## 587 No No Si Si 63 2.0 2
## 588 No No No Si 83 2.0 2
## 589 No No Si Si 60 2.0 2
## 590 No Si Si Si 51 1.0 1
## 591 No No No No 60 2.0 2
## 592 No Si Si Si 88 2.0 2
## 593 No No No No 41 1.0 2
## 594 No Si Si Si 79 1.5 1
## 595 No No Si Si 209 3.0 3
## 596 No No Si Si 87 2.0 3
## 597 No No No No 129 2.0 3
## 598 No No Si No 124 2.0 2
## 599 No No No No 60 1.0 2
## 600 No No Si Si 109 2.0 2
## 601 No No Si No 90 2.0 3
## 602 No No No No 45 1.0 2
## 603 No No No Si 198 3.0 3
## 604 No No No Si 123 2.0 3
## 605 No No No Si 72 1.0 3
## 606 No No No No 80 1.0 3
## 607 No No No No 61 1.0 2
## 608 No No Si No 123 2.0 3
## 609 No No Si Si 51 1.0 2
## 610 No No No Si 79 1.0 3
## 611 No No Si Si 90 2.0 2
## 612 No No Si No 96 1.0 2
## 613 No No Si Si 80 1.0 2
## 614 No No Si Si 300 2.0 3
## 615 No Si Si Si 111 2.0 2
## 616 No No Si Si 190 3.5 3
## 617 No No No No 227 2.0 3
## 618 No No Si Si 68 1.0 2
## 619 No Si Si Si 308 3.0 3
## 620 No No No No 70 2.5 3
## 621 No No No No 94 1.0 2
## 622 No Si Si Si 193 3.0 3
## 623 No No Si Si 158 3.0 2
## 624 No No No No 54 1.0 2
## 625 No No No No 44 1.0 2
## 626 No Si Si Si 138 2.0 3
## 627 No No No No 52 1.0 2
## 628 No No Si No 65 2.0 2
## 629 No No Si Si 213 2.0 3
## 630 No No No Si 70 1.0 2
## 631 No No Si Si 131 4.0 3
## 632 No No Si si 120 3.0 3
## 633 No No No Si 250 4.0 3
## 634 No No No No 95 1.0 3
## 635 No No No Si 60 1.0 2
## 636 No No No No 60 1.0 2
## 637 No Si Si Si 75 2.0 2
## 638 No No No No 52 1.0 2
## 639 No No No No 65 1.0 2
## 640 No No Si Si 211 2.0 2
## 641 No No No No 60 1.0 2
## 642 No No No No 50 1.0 2
## 643 No No No No 46 1.0 2
## 644 No No No Si 105 2.0 2
## 645 No Si Si Si 90 2.0 2
## 646 No No Si Si 158 2.0 3
## 647 No No Si Si 56 1.0 2
## 648 No No Si No 64 2.0 2
## 649 No No Si Si 118 2.0 2
## 650 No Si Si Si 150 2.0 2
## 651 No No No No 60 1.0 2
## 652 No No No No 66 1.0 2
## 653 Si Si Si Si 146 3.0 3
## 654 No No Si Si 99 2.0 2
## 655 No No No Si 64 1.0 2
## 656 No No Si Si 90 1.0 3
## 657 No No No No 50 1.0 2
## 658 No No Si Si 56 2.0 2
## Estacionamiento Precio
## 1 2 6500
## 2 1 1200
## 3 3 17500
## 4 1 1046
## 5 1 1195
## 6 1 388
## 7 2 12738
## 8 2 7150
## 9 1 2950
## 10 0 950
## 11 1 1890
## 12 0 622
## 13 1 680
## 14 1 1849
## 15 1 1490
## 16 4 47200
## 17 2 7129
## 18 1 2049
## 19 1 455
## 20 1 695
## 21 1 8087
## 22 3 6200
## 23 1 1828
## 24 4 17666
## 25 2 8500
## 26 2 2950
## 27 1 2000
## 28 1 2180
## 29 1 1150
## 30 1 1960
## 31 2 4091
## 32 1 1046
## 33 1 695
## 34 3 11313
## 35 1 650
## 36 1 1225
## 37 1 522
## 38 1 473
## 39 1 1018
## 40 1 864
## 41 3 14666
## 42 1 408
## 43 3 6300
## 44 1 550
## 45 1 836
## 46 1 1736
## 47 1 2365
## 48 3 14900
## 49 0 849
## 50 1 3267
## 51 1 530
## 52 3 15000
## 53 1 915
## 54 2 3300
## 55 2 8524
## 56 5 2800
## 57 2 10100
## 58 2 4990
## 59 4 20900
## 60 2 12800
## 61 1 2300
## 62 1 587
## 63 2 8440
## 64 1 680
## 65 0 1320
## 66 1 800
## 67 2 505
## 68 1 920
## 69 1 4570
## 70 1 285
## 71 1 3500
## 72 1 4586
## 73 1 193
## 74 2 4996
## 75 1 259
## 76 1 1500
## 77 1 1900
## 78 2 3539
## 79 2 15999
## 80 2 14000
## 81 3 14950
## 82 2 3280
## 83 1 4578
## 84 1 803
## 85 2 5800
## 86 2 2690
## 87 0 830
## 88 2 7225
## 89 1 1
## 90 2 6400
## 91 2 6750
## 92 2 4500
## 93 2 14500
## 94 1 1580
## 95 2 14900
## 96 2 9298
## 97 1 1860
## 98 1 523
## 99 1 870
## 100 1 11000
## 101 1 1680
## 102 1 3350
## 103 1 890
## 104 1 1600
## 105 1 1490
## 106 1 1900
## 107 2 6339
## 108 0 1180
## 109 2 128524
## 110 1 1290
## 111 1 900
## 112 1 269
## 113 2 4800
## 114 3 15500
## 115 2 3990
## 116 1 799
## 117 1 1300
## 118 2 4250
## 119 1 1091
## 120 0 870
## 121 1 629
## 122 1 950
## 123 1 990
## 124 2 11200
## 125 1 1750
## 126 2 7500
## 127 1 800
## 128 1 1600
## 129 1 5950
## 130 1 358
## 131 1 3323
## 132 1 2250
## 133 1 1145
## 134 1 3200
## 135 2 11850
## 136 1 3148
## 137 1 1060
## 138 1 695
## 139 1 3381
## 140 1 2351
## 141 1 1380
## 142 1 1290
## 143 1 4350
## 144 1 1538
## 145 1 547
## 146 1 1845
## 147 1 780
## 148 1 1290
## 149 1 1410
## 150 1 2990
## 151 1 1100
## 152 2 9292
## 153 1 404
## 154 3 8190
## 155 1 360
## 156 0 750
## 157 1 4071
## 158 3 14500
## 159 0 3950
## 160 1 1550
## 161 0 640
## 162 1 1520
## 163 1 1043
## 164 1 2360
## 165 0 658
## 166 1 1690
## 167 1 1918
## 168 1 570
## 169 1 1150
## 170 2 10700
## 171 1 1400
## 172 2 3900
## 173 1 850
## 174 1 6950
## 175 1 685
## 176 2 1500
## 177 1 2131
## 178 1 150
## 179 2 895
## 180 1 509
## 181 2 5524
## 182 2 15118
## 183 2 9910
## 184 1 354
## 185 3 10200
## 186 1 899
## 187 1 1155
## 188 1 803
## 189 1 1538
## 190 1 308
## 191 0 750
## 192 1 2730
## 193 2 5434
## 194 1 1720
## 195 1 1700
## 196 1 450
## 197 2 792
## 198 3 4522
## 199 1 1650
## 200 3 5252
## 201 1 2600
## 202 1 1500
## 203 1 737
## 204 1 700
## 205 3 15000
## 206 3 25000
## 207 1 850
## 208 2 8500
## 209 1 3010
## 210 1 2000
## 211 4 34900
## 212 2 4160
## 213 2 1980
## 214 3 8900
## 215 4 23609
## 216 3 3800
## 217 0 395
## 218 1 291
## 219 2 780
## 220 2 13900
## 221 3 4375
## 222 0 830
## 223 1 1100
## 224 1 1190
## 225 1 2832
## 226 3 12500
## 227 1 958
## 228 2 6224
## 229 1 1380
## 230 1 891
## 231 1 565
## 232 1 1748
## 233 1 968
## 234 1 861
## 235 1 1115
## 236 1 13295
## 237 1 2900
## 238 1 220
## 239 1 521
## 240 2 3450
## 241 2 3990
## 242 1 750
## 243 1 932
## 244 1 1157
## 245 0 970
## 246 1 561
## 247 4 6900
## 248 1 330
## 249 1 1106
## 250 1 2700
## 251 1 506
## 252 2 5548
## 253 1 620
## 254 1 295
## 255 1 1300
## 256 1 116
## 257 1 780
## 258 1 1873
## 259 1 317
## 260 1 2900
## 261 2 28000
## 262 1 890
## 263 1 700
## 264 2 3300
## 265 0 3543
## 266 2 7400
## 267 1 2180
## 268 3 12500
## 269 3 15500
## 270 1 683
## 271 2 6300
## 272 2 9900
## 273 1 3900
## 274 2 4900
## 275 3 10175
## 276 2 5450
## 277 2 638
## 278 1 3778
## 279 2 2800
## 280 2 2000
## 281 1 1700
## 282 3 13000
## 283 1 1300
## 284 1 790
## 285 1 746
## 286 1 2366
## 287 1 265
## 288 1 2900
## 289 2 4950
## 290 1 1900
## 291 1 3900
## 292 1 1130
## 293 0 547
## 294 1 5950
## 295 1 3090
## 296 2 4109
## 297 3 8500
## 298 1 950
## 299 1 2000
## 300 1 2624
## 301 2 7350
## 302 1 2328
## 303 1 3465
## 304 1 2500
## 305 1 777
## 306 2 5115
## 307 2 6200
## 308 1 442
## 309 1 3100
## 310 1 1100
## 311 2 14500
## 312 1 351
## 313 Si 8217
## 314 1 730
## 315 2 7500
## 316 1 488
## 317 2 1170
## 318 1 370
## 319 1 1200
## 320 2 4250
## 321 0 7500
## 322 2 4045
## 323 1 1753
## 324 0 825
## 325 1 1695
## 326 1 500
## 327 1 534
## 328 1 491
## 329 2 741
## 330 1 970
## 331 5 13800
## 332 3 9000
## 333 3 10290
## 334 1 2800
## 335 2 4970
## 336 1 1280
## 337 1 623
## 338 1 3250
## 339 2 6231
## 340 1 247
## 341 1 4498
## 342 1 2150
## 343 1 578
## 344 2 15300
## 345 1 1158
## 346 2 4900
## 347 2 2000
## 348 2 3549
## 349 1 1915
## 350 1 2300
## 351 2 9500
## 352 1 2026
## 353 2 8200
## 354 2 8500
## 355 2 5300
## 356 1 725
## 357 2 14672
## 358 1 1200
## 359 3 3100
## 360 1 1470
## 361 1 6700
## 362 1 671
## 363 1 899
## 364 0 236
## 365 1 1100
## 366 1 750
## 367 2 3316
## 368 1 2093
## 369 1 5900
## 370 1 378
## 371 1 1190
## 372 1 5500
## 373 3 8900
## 374 2 4100
## 375 1 5151
## 376 3 16000
## 377 2 6750
## 378 1 950
## 379 1 623
## 380 2 6300
## 381 2 5282
## 382 0 2178
## 383 2 5300
## 384 1 780
## 385 3 11900
## 386 3 5900
## 387 2 11950
## 388 1 774
## 389 1 990
## 390 1 618
## 391 4 13500
## 392 2 14990
## 393 2 6700
## 394 1 816
## 395 2 5975
## 396 1 594
## 397 0 800
## 398 1 785
## 399 1 1595
## 400 1 1250
## 401 2 6000
## 402 1 2500
## 403 1 553
## 404 1 797
## 405 2 5823
## 406 3 13000
## 407 1 820
## 408 1 660
## 409 1 980
## 410 1 759
## 411 1 840
## 412 3 15500
## 413 1 1400
## 414 1 1750
## 415 1 850
## 416 1 440
## 417 2 6000
## 418 2 7506
## 419 1 430
## 420 1 1750
## 421 1 3465
## 422 0 3840
## 423 3 14000
## 424 1 1808
## 425 1 369
## 426 1 1097
## 427 1 645
## 428 3 11900
## 429 1 535
## 430 4 14000
## 431 1 1200
## 432 2 9936
## 433 0 1250
## 434 1 2560
## 435 1 2199
## 436 1 573
## 437 1 5255
## 438 1 428
## 439 2 3700
## 440 2 3880
## 441 1 408
## 442 1 684
## 443 2 8280
## 444 1 407
## 445 2 9950
## 446 2 903
## 447 1 990
## 448 1 607
## 449 1 570
## 450 1 1100
## 451 1 3450
## 452 1 1285
## 453 0 720
## 454 1 965
## 455 0 3213
## 456 1 812
## 457 3 650
## 458 1 890
## 459 2 5500
## 460 0 1446
## 461 1 1530
## 462 0 665
## 463 1 1050
## 464 3 7561
## 465 1 8190
## 466 1 2350
## 467 1 1450
## 468 1 1225
## 469 3 7200
## 470 2 6600
## 471 1 702
## 472 3 11000
## 473 1 920
## 474 1 998
## 475 1 758
## 476 1 1078
## 477 1 1400
## 478 0 4480
## 479 1 3148
## 480 1 3740
## 481 1 1200
## 482 1 699
## 483 2 2995
## 484 1 630
## 485 0 1350
## 486 1 3627
## 487 2 11900
## 488 1 1360
## 489 2 7990
## 490 1 1106
## 491 1 2700
## 492 1 1823
## 493 2 10800
## 494 2 12768
## 495 1 1250
## 496 1 2760
## 497 3 10500
## 498 0 800
## 499 1 613
## 500 1 737
## 501 3 23000
## 502 0 760
## 503 1 5495
## 504 2 7150
## 505 1 5790
## 506 2 6400
## 507 1 1390
## 508 1 1748
## 509 1 452
## 510 2 6200
## 511 1 6000
## 512 2 2975
## 513 1 860
## 514 1 3140
## 515 1 1280
## 516 1 3787
## 517 1 750
## 518 1 284
## 519 2 4200
## 520 4 12200
## 521 2 14175
## 522 1 1387
## 523 1 1400
## 524 2 16900
## 525 2 5310
## 526 2 5453
## 527 3 6000
## 528 2 8524
## 529 1 1840
## 530 1 2600
## 531 1 665
## 532 1 1750
## 533 1 785
## 534 2 5900
## 535 0 750
## 536 1 1350
## 537 1 1900
## 538 1 1950
## 539 1 993
## 540 1 1054
## 541 1 4300
## 542 0 758
## 543 0 423
## 544 0 980
## 545 1 3287
## 546 2 9000
## 547 1 2803
## 548 1 1091
## 549 1 860
## 550 2 15000
## 551 1 1050
## 552 3 5550
## 553 2 9041
## 554 4 22990
## 555 3 13250
## 556 1 543
## 557 2 2817
## 558 2 8150
## 559 0 850
## 560 2 11750
## 561 1 1195
## 562 1 771
## 563 1 2350
## 564 2 5800
## 565 2 2650
## 566 1 1160
## 567 3 17500
## 568 4 13300
## 569 2 4000
## 570 0 1080
## 571 1 2550
## 572 2 11700
## 573 1 1280
## 574 0 245
## 575 2 12300
## 576 1 907
## 577 1 847
## 578 2 7100
## 579 1 1705
## 580 2 3900
## 581 1 2001
## 582 2 11313
## 583 1 3200
## 584 1 431
## 585 2 22500
## 586 1 780
## 587 1 2985
## 588 2 1980
## 589 2 2686
## 590 1 4472
## 591 1 1690
## 592 2 3800
## 593 0 890
## 594 2 4655
## 595 3 12900
## 596 2 2600
## 597 1 2400
## 598 1 2150
## 599 0 980
## 600 2 3850
## 601 1 797
## 602 1 650
## 603 3 9990
## 604 2 5000
## 605 1 404
## 606 1 2157
## 607 1 802
## 608 1 2900
## 609 1 1874
## 610 0 887
## 611 2 4449
## 612 1 3883
## 613 1 659
## 614 2 13500
## 615 2 7020
## 616 3 8585
## 617 2 10300
## 618 2 3620
## 619 3 15000
## 620 1 551
## 621 1 1008
## 622 3 12500
## 623 3 13365
## 624 1 1058
## 625 1 770
## 626 2 4690
## 627 1 321
## 628 2 3316
## 629 2 7790
## 630 1 877
## 631 2 6980
## 632 2 4990
## 633 3 13000
## 634 1 1915
## 635 0 285
## 636 1 1018
## 637 1 3980
## 638 1 730
## 639 1 804
## 640 2 17500
## 641 1 1450
## 642 1 580
## 643 1 790
## 644 2 3350
## 645 2 5600
## 646 3 9100
## 647 1 914
## 648 1 3295
## 649 2 7517
## 650 2 9647
## 651 1 900
## 652 1 1050
## 653 2 8500
## 654 1 5792
## 655 1 2200
## 656 1 1094
## 657 1 650
## 658 1 3090
Data preprocessing
# Convert categorical variables to numeric
df <- df %>%
mutate_at(vars(Cocina_equip, Gimnasio, Amueblado, Alberca, Terraza, Elevador), ~ifelse(. == "Si", 1, 0))
# Convert to numeric
df$Estacionamiento <- as.numeric(df$Estacionamiento)
## Warning: NAs introducidos por coerción
df$Alcaldia_numeric <- as.numeric(factor(df$Alcaldia))
df$Colonia_numeric <- as.numeric(factor(df$Colonia))
# Check for missing values and handle if necessary
print(colSums(is.na(df)))
## Alcaldia Colonia X1 X2
## 0 0 0 0
## X3 X4 X5 X6
## 0 0 0 0
## X7 X8 X9 X10
## 0 0 0 0
## Cocina_equip Gimnasio Amueblado Alberca
## 0 0 0 0
## Terraza Elevador m2_construido Banos
## 0 0 0 0
## Recamaras Estacionamiento Precio Alcaldia_numeric
## 0 1 0 0
## Colonia_numeric
## 0
# Handle missing values if needed
df <- na.omit(df)
# Check again for NA's
print(colSums(is.na(df)))
## Alcaldia Colonia X1 X2
## 0 0 0 0
## X3 X4 X5 X6
## 0 0 0 0
## X7 X8 X9 X10
## 0 0 0 0
## Cocina_equip Gimnasio Amueblado Alberca
## 0 0 0 0
## Terraza Elevador m2_construido Banos
## 0 0 0 0
## Recamaras Estacionamiento Precio Alcaldia_numeric
## 0 0 0 0
## Colonia_numeric
## 0
# Example: Create a new variable representing the total number of amenities
df$Total_Amenities <- rowSums(df[, c("Cocina_equip", "Gimnasio", "Amueblado", "Alberca", "Terraza", "Elevador")])
# Standardize numeric variables
numeric_columns <- df %>% select_if(is.numeric)
df_scaled <- scale(numeric_columns)
Clustering
# Perform k-means clustering
set.seed(123)
k <- 4 # choose the number of clusters based on your analysis
kmeans_result <- kmeans(df_scaled, centers = k)
df$Cluster <- as.factor(kmeans_result$cluster)
numeric_columns$Cluster <- as.numeric(kmeans_result$cluster)
# Analyze the characteristics of each cluster
cluster_summary_numeric <- numeric_columns %>% group_by(Cluster) %>% summarise_all(mean)
print(cluster_summary_numeric) # cluster with only numeric variables
## # A tibble: 4 × 25
## Cluster X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 1.53 5.20 44.8 19.6 28.2 3.94 0.577 0.0998 9.34 47.5
## 2 2 0.765 5.81 36.4 11.6 22.4 1.50 0.152 0.0315 5.54 26.3
## 3 3 1.30 5.61 42.1 17.1 24.0 3.17 0.480 0.0434 6.70 35.7
## 4 4 1.99 4.70 45.7 20.3 30.5 5.61 5.48 0.151 8.69 48.3
## # ℹ 14 more variables: Cocina_equip <dbl>, Gimnasio <dbl>, Amueblado <dbl>,
## # Alberca <dbl>, Terraza <dbl>, Elevador <dbl>, m2_construido <dbl>,
## # Banos <dbl>, Recamaras <dbl>, Estacionamiento <dbl>, Precio <dbl>,
## # Alcaldia_numeric <dbl>, Colonia_numeric <dbl>, Total_Amenities <dbl>
cluster_summary_numeric$Alcaldia_numeric <- round(cluster_summary_numeric$Alcaldia_numeric)
cluster_summary_numeric$Colonia_numeric <- round(cluster_summary_numeric$Colonia_numeric)
cluster_summary_numeric$Total_Amenities <- round(cluster_summary_numeric$Total_Amenities)
print(cluster_summary_numeric)
## # A tibble: 4 × 25
## Cluster X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 1.53 5.20 44.8 19.6 28.2 3.94 0.577 0.0998 9.34 47.5
## 2 2 0.765 5.81 36.4 11.6 22.4 1.50 0.152 0.0315 5.54 26.3
## 3 3 1.30 5.61 42.1 17.1 24.0 3.17 0.480 0.0434 6.70 35.7
## 4 4 1.99 4.70 45.7 20.3 30.5 5.61 5.48 0.151 8.69 48.3
## # ℹ 14 more variables: Cocina_equip <dbl>, Gimnasio <dbl>, Amueblado <dbl>,
## # Alberca <dbl>, Terraza <dbl>, Elevador <dbl>, m2_construido <dbl>,
## # Banos <dbl>, Recamaras <dbl>, Estacionamiento <dbl>, Precio <dbl>,
## # Alcaldia_numeric <dbl>, Colonia_numeric <dbl>, Total_Amenities <dbl>
cluster_summary <- df %>% group_by(Cluster) %>% summarise_all(mean)
## Warning: There were 8 warnings in `summarise()`.
## The first warning was:
## ℹ In argument: `Alcaldia = (function (x, ...) ...`.
## ℹ In group 1: `Cluster = 1`.
## Caused by warning in `mean.default()`:
## ! argument is not numeric or logical: returning NA
## ℹ Run `dplyr::last_dplyr_warnings()` to see the 7 remaining warnings.
print(cluster_summary) # cluster with categorical variables
## # A tibble: 4 × 27
## Cluster Alcaldia Colonia X1 X2 X3 X4 X5 X6 X7 X8
## <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 NA NA 1.53 5.20 44.8 19.6 28.2 3.94 0.577 0.0998
## 2 2 NA NA 0.765 5.81 36.4 11.6 22.4 1.50 0.152 0.0315
## 3 3 NA NA 1.30 5.61 42.1 17.1 24.0 3.17 0.480 0.0434
## 4 4 NA NA 1.99 4.70 45.7 20.3 30.5 5.61 5.48 0.151
## # ℹ 16 more variables: X9 <dbl>, X10 <dbl>, Cocina_equip <dbl>, Gimnasio <dbl>,
## # Amueblado <dbl>, Alberca <dbl>, Terraza <dbl>, Elevador <dbl>,
## # m2_construido <dbl>, Banos <dbl>, Recamaras <dbl>, Estacionamiento <dbl>,
## # Precio <dbl>, Alcaldia_numeric <dbl>, Colonia_numeric <dbl>,
## # Total_Amenities <dbl>
cluster_summary$Alcaldia_numeric <- round(cluster_summary$Alcaldia_numeric)
cluster_summary$Colonia_numeric <- round(cluster_summary$Colonia_numeric)
cluster_summary$Total_Amenities <- round(cluster_summary$Total_Amenities)
print(cluster_summary)
## # A tibble: 4 × 27
## Cluster Alcaldia Colonia X1 X2 X3 X4 X5 X6 X7 X8
## <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 NA NA 1.53 5.20 44.8 19.6 28.2 3.94 0.577 0.0998
## 2 2 NA NA 0.765 5.81 36.4 11.6 22.4 1.50 0.152 0.0315
## 3 3 NA NA 1.30 5.61 42.1 17.1 24.0 3.17 0.480 0.0434
## 4 4 NA NA 1.99 4.70 45.7 20.3 30.5 5.61 5.48 0.151
## # ℹ 16 more variables: X9 <dbl>, X10 <dbl>, Cocina_equip <dbl>, Gimnasio <dbl>,
## # Amueblado <dbl>, Alberca <dbl>, Terraza <dbl>, Elevador <dbl>,
## # m2_construido <dbl>, Banos <dbl>, Recamaras <dbl>, Estacionamiento <dbl>,
## # Precio <dbl>, Alcaldia_numeric <dbl>, Colonia_numeric <dbl>,
## # Total_Amenities <dbl>
Sets de Entrenamiento y de Evaluacion
# Split data into training and testing sets
set.seed(123)
train_indices <- sample(1:nrow(numeric_columns), 0.8 * nrow(numeric_columns))
train_data <- numeric_columns[train_indices, ]
test_data <- numeric_columns[-train_indices, ]
# Fit a linear regression model
model <- lm(Precio ~ ., data = train_data)
Predicciones
# Make predictions on the test set
predictions <- predict(model, numeric_columns = test_data)
# Evaluate the model
rmse <- sqrt(mean((predictions - test_data$Precio)^2))
## Warning in predictions - test_data$Precio: longitud de objeto mayor no es
## múltiplo de la longitud de uno menor
print(paste("Root Mean Squared Error:", rmse))
## [1] "Root Mean Squared Error: 6322.4724217328"
# Example: Predict property values for a new data point
new_property <- data.frame(
Alcaldia_numeric = 2,
Colonia_numeric = 5,
Total_Amenities = 2,
Cocina_equip = 1,
Gimnasio = 0,
Amueblado = 1,
Alberca = 1,
Terraza = 0,
Elevador = 1,
m2_construido = 200,
Banos = 2,
Recamaras = 3,
Estacionamiento = 2,
Cluster = 3 # Assign the cluster based on your analysis
)
predicted_value <- predict(model, numeric_columns = new_property)
print(paste("Predicted Property Value:", predicted_value))
## [1] "Predicted Property Value: 915.726864103557"
## [2] "Predicted Property Value: 8237.83012776578"
## [3] "Predicted Property Value: 11726.1259916677"
## [4] "Predicted Property Value: 8545.18119537925"
## [5] "Predicted Property Value: 1830.47065863579"
## [6] "Predicted Property Value: 6889.00586422357"
## [7] "Predicted Property Value: 1653.76194505858"
## [8] "Predicted Property Value: 1905.5719573471"
## [9] "Predicted Property Value: 714.166315376613"
## [10] "Predicted Property Value: 2534.30832561676"
## [11] "Predicted Property Value: 3442.0000255412"
## [12] "Predicted Property Value: 10084.3634949554"
## [13] "Predicted Property Value: 7789.79205448643"
## [14] "Predicted Property Value: 7527.26088766479"
## [15] "Predicted Property Value: 1894.15300091525"
## [16] "Predicted Property Value: 679.331346562553"
## [17] "Predicted Property Value: 2850.89470806453"
## [18] "Predicted Property Value: 10282.3520994381"
## [19] "Predicted Property Value: 1053.18613782468"
## [20] "Predicted Property Value: 20830.2215140373"
## [21] "Predicted Property Value: 1653.76194505858"
## [22] "Predicted Property Value: 5152.43441621755"
## [23] "Predicted Property Value: 2690.35450823296"
## [24] "Predicted Property Value: 7902.38359095179"
## [25] "Predicted Property Value: 3750.7132932445"
## [26] "Predicted Property Value: 2192.68441905403"
## [27] "Predicted Property Value: 2132.858191833"
## [28] "Predicted Property Value: 9737.6218444336"
## [29] "Predicted Property Value: 1516.90888877372"
## [30] "Predicted Property Value: 2078.71788256145"
## [31] "Predicted Property Value: 12957.8387010561"
## [32] "Predicted Property Value: 2357.15205495679"
## [33] "Predicted Property Value: 2981.2277735245"
## [34] "Predicted Property Value: 500.659148699201"
## [35] "Predicted Property Value: 484.44202501118"
## [36] "Predicted Property Value: 12308.6899368178"
## [37] "Predicted Property Value: 3340.3563799142"
## [38] "Predicted Property Value: 1935.72581046192"
## [39] "Predicted Property Value: 1583.71861236848"
## [40] "Predicted Property Value: 955.590141966899"
## [41] "Predicted Property Value: 750.796733727854"
## [42] "Predicted Property Value: 4052.38555194867"
## [43] "Predicted Property Value: 3002.2291635068"
## [44] "Predicted Property Value: 874.659910004837"
## [45] "Predicted Property Value: 14794.4075376791"
## [46] "Predicted Property Value: 11598.9550312776"
## [47] "Predicted Property Value: 10609.3608402734"
## [48] "Predicted Property Value: 1436.78533725623"
## [49] "Predicted Property Value: 374.002952363267"
## [50] "Predicted Property Value: 2478.12366601734"
## [51] "Predicted Property Value: 355.299751463155"
## [52] "Predicted Property Value: 1029.86983699961"
## [53] "Predicted Property Value: 8841.04866365159"
## [54] "Predicted Property Value: -863.715818239138"
## [55] "Predicted Property Value: 1114.01923392254"
## [56] "Predicted Property Value: 936.278968854873"
## [57] "Predicted Property Value: 4943.60245372797"
## [58] "Predicted Property Value: 3633.5722688589"
## [59] "Predicted Property Value: 12964.821916393"
## [60] "Predicted Property Value: 1029.59700606434"
## [61] "Predicted Property Value: 1372.93815873053"
## [62] "Predicted Property Value: 4687.05788962999"
## [63] "Predicted Property Value: 1455.33839778191"
## [64] "Predicted Property Value: 724.938900118585"
## [65] "Predicted Property Value: 6507.31482479903"
## [66] "Predicted Property Value: 1165.06856340784"
## [67] "Predicted Property Value: 1406.19488773836"
## [68] "Predicted Property Value: 4625.0501757077"
## [69] "Predicted Property Value: 883.898525849403"
## [70] "Predicted Property Value: 3148.07734359977"
## [71] "Predicted Property Value: 368.811718689188"
## [72] "Predicted Property Value: 1939.54841201025"
## [73] "Predicted Property Value: 10229.4649223634"
## [74] "Predicted Property Value: 1235.28872787416"
## [75] "Predicted Property Value: 472.366078653475"
## [76] "Predicted Property Value: 4450.05111045247"
## [77] "Predicted Property Value: 3285.04651903094"
## [78] "Predicted Property Value: -79.6335975190596"
## [79] "Predicted Property Value: 3525.27744357339"
## [80] "Predicted Property Value: -1066.52152195679"
## [81] "Predicted Property Value: 135.293476418139"
## [82] "Predicted Property Value: 8493.99737313873"
## [83] "Predicted Property Value: 708.805410511028"
## [84] "Predicted Property Value: 768.432225688792"
## [85] "Predicted Property Value: 11848.4278537137"
## [86] "Predicted Property Value: 14673.7004742708"
## [87] "Predicted Property Value: 688.320957612744"
## [88] "Predicted Property Value: 6746.76474397881"
## [89] "Predicted Property Value: 503.19418508776"
## [90] "Predicted Property Value: 572.968344573466"
## [91] "Predicted Property Value: 3881.6792872375"
## [92] "Predicted Property Value: 5019.48560540896"
## [93] "Predicted Property Value: 816.820277255607"
## [94] "Predicted Property Value: 1220.58576939927"
## [95] "Predicted Property Value: 9105.8153558039"
## [96] "Predicted Property Value: 594.171633387632"
## [97] "Predicted Property Value: 13273.2465953509"
## [98] "Predicted Property Value: 503.19418508776"
## [99] "Predicted Property Value: 1425.80660143284"
## [100] "Predicted Property Value: 1725.02972664969"
## [101] "Predicted Property Value: 1114.84026049807"
## [102] "Predicted Property Value: 2201.61184188324"
## [103] "Predicted Property Value: 9123.75604832622"
## [104] "Predicted Property Value: 423.967987518871"
## [105] "Predicted Property Value: 1022.54133975631"
## [106] "Predicted Property Value: 6734.59857832145"
## [107] "Predicted Property Value: 1544.49301613665"
## [108] "Predicted Property Value: 1810.98799226509"
## [109] "Predicted Property Value: 1761.79874613559"
## [110] "Predicted Property Value: 13688.2199088136"
## [111] "Predicted Property Value: 1366.61663628939"
## [112] "Predicted Property Value: -831.069435094075"
## [113] "Predicted Property Value: 2950.72924905987"
## [114] "Predicted Property Value: 1423.54287493772"
## [115] "Predicted Property Value: 5911.52145514856"
## [116] "Predicted Property Value: 2824.95680026333"
## [117] "Predicted Property Value: 16532.834317885"
## [118] "Predicted Property Value: 895.560748379968"
## [119] "Predicted Property Value: 2620.15424215311"
## [120] "Predicted Property Value: 1735.05264530005"
## [121] "Predicted Property Value: 13175.7889353586"
## [122] "Predicted Property Value: 9812.66237284463"
## [123] "Predicted Property Value: 2340.78318784818"
## [124] "Predicted Property Value: 719.534113228171"
## [125] "Predicted Property Value: 825.974762882067"
## [126] "Predicted Property Value: 4146.31170129259"
## [127] "Predicted Property Value: 18113.5152486682"
## [128] "Predicted Property Value: 1944.1253802675"
## [129] "Predicted Property Value: 651.684847142795"
## [130] "Predicted Property Value: -119.606290318404"
## [131] "Predicted Property Value: 1440.40762955443"
## [132] "Predicted Property Value: 544.96790968964"
## [133] "Predicted Property Value: 3085.10690819049"
## [134] "Predicted Property Value: 8841.04866365159"
## [135] "Predicted Property Value: 1094.85347501172"
## [136] "Predicted Property Value: 2314.54278408855"
## [137] "Predicted Property Value: 930.886519708754"
## [138] "Predicted Property Value: 7535.76978953665"
## [139] "Predicted Property Value: 6021.32724276701"
## [140] "Predicted Property Value: 9645.11397924182"
## [141] "Predicted Property Value: 2879.31077342077"
## [142] "Predicted Property Value: 847.487523028884"
## [143] "Predicted Property Value: 4421.67871117763"
## [144] "Predicted Property Value: 13374.5081013028"
## [145] "Predicted Property Value: 529.884984527346"
## [146] "Predicted Property Value: 7600.89863906812"
## [147] "Predicted Property Value: 216.212688342286"
## [148] "Predicted Property Value: 10155.2592427512"
## [149] "Predicted Property Value: 1210.90975754749"
## [150] "Predicted Property Value: 17947.4718728926"
## [151] "Predicted Property Value: 237.785290460699"
## [152] "Predicted Property Value: 3041.38106776296"
## [153] "Predicted Property Value: 10534.9771565102"
## [154] "Predicted Property Value: 48.8718301608133"
## [155] "Predicted Property Value: 16009.3043489561"
## [156] "Predicted Property Value: 5383.58671166268"
## [157] "Predicted Property Value: 3451.0816790833"
## [158] "Predicted Property Value: 18129.6814423286"
## [159] "Predicted Property Value: 2484.72222905102"
## [160] "Predicted Property Value: 3421.96275636959"
## [161] "Predicted Property Value: 8909.46237561297"
## [162] "Predicted Property Value: 1496.76904972503"
## [163] "Predicted Property Value: 12894.3743425097"
## [164] "Predicted Property Value: 590.427010721783"
## [165] "Predicted Property Value: 3510.32397221059"
## [166] "Predicted Property Value: 915.322007010093"
## [167] "Predicted Property Value: 2374.75487827508"
## [168] "Predicted Property Value: 1422.84772632749"
## [169] "Predicted Property Value: 5022.53977391908"
## [170] "Predicted Property Value: 3221.37057070199"
## [171] "Predicted Property Value: 4530.35587962796"
## [172] "Predicted Property Value: 5188.54505249211"
## [173] "Predicted Property Value: 686.519233850265"
## [174] "Predicted Property Value: 2850.63327952199"
## [175] "Predicted Property Value: 262.744895034151"
## [176] "Predicted Property Value: 179.966911703881"
## [177] "Predicted Property Value: 2076.25023320643"
## [178] "Predicted Property Value: 5251.09032660692"
## [179] "Predicted Property Value: 806.533760384191"
## [180] "Predicted Property Value: 1348.87890763455"
## [181] "Predicted Property Value: 11462.4831152374"
## [182] "Predicted Property Value: 13021.4288995434"
## [183] "Predicted Property Value: 13018.4347759717"
## [184] "Predicted Property Value: 93.6509693476783"
## [185] "Predicted Property Value: 9387.70130200566"
## [186] "Predicted Property Value: 16007.1480698663"
## [187] "Predicted Property Value: 1433.14360051478"
## [188] "Predicted Property Value: 16274.8926195602"
## [189] "Predicted Property Value: 83.4248190569052"
## [190] "Predicted Property Value: 1496.76904972503"
## [191] "Predicted Property Value: 2556.91904056026"
## [192] "Predicted Property Value: 473.176787287061"
## [193] "Predicted Property Value: 1429.11592226434"
## [194] "Predicted Property Value: 2249.90528031033"
## [195] "Predicted Property Value: 798.179810938421"
## [196] "Predicted Property Value: 1933.20367466269"
## [197] "Predicted Property Value: 1303.92023463224"
## [198] "Predicted Property Value: 10432.7029521775"
## [199] "Predicted Property Value: 1033.55107452171"
## [200] "Predicted Property Value: 409.240454565787"
## [201] "Predicted Property Value: 210.727910141928"
## [202] "Predicted Property Value: 268.234407878679"
## [203] "Predicted Property Value: 4668.69173234466"
## [204] "Predicted Property Value: 3287.68687910859"
## [205] "Predicted Property Value: -128.76334770211"
## [206] "Predicted Property Value: 5729.91446024631"
## [207] "Predicted Property Value: 1540.98230665668"
## [208] "Predicted Property Value: 10668.8587967056"
## [209] "Predicted Property Value: 146.584637735333"
## [210] "Predicted Property Value: 4038.46093617153"
## [211] "Predicted Property Value: 260.845411736681"
## [212] "Predicted Property Value: 3412.06778145044"
## [213] "Predicted Property Value: 10123.3357808307"
## [214] "Predicted Property Value: 1735.40499101286"
## [215] "Predicted Property Value: 11294.8502819121"
## [216] "Predicted Property Value: 900.720669384167"
## [217] "Predicted Property Value: 898.875063596861"
## [218] "Predicted Property Value: 2309.03042435149"
## [219] "Predicted Property Value: 1964.6689114281"
## [220] "Predicted Property Value: -95.7863928124767"
## [221] "Predicted Property Value: 1521.18224015519"
## [222] "Predicted Property Value: 2897.10281002873"
## [223] "Predicted Property Value: 2778.99682242794"
## [224] "Predicted Property Value: 6131.77163561528"
## [225] "Predicted Property Value: 7668.05491859638"
## [226] "Predicted Property Value: 10658.7513092278"
## [227] "Predicted Property Value: 2081.8773792581"
## [228] "Predicted Property Value: 961.781272153827"
## [229] "Predicted Property Value: 8396.7112091113"
## [230] "Predicted Property Value: 20241.3361141969"
## [231] "Predicted Property Value: 677.095758549547"
## [232] "Predicted Property Value: 708.7615284862"
## [233] "Predicted Property Value: 13898.0424231059"
## [234] "Predicted Property Value: 15821.3287984959"
## [235] "Predicted Property Value: 17402.6780776732"
## [236] "Predicted Property Value: -218.567598464769"
## [237] "Predicted Property Value: 1254.33675338796"
## [238] "Predicted Property Value: -604.072486425449"
## [239] "Predicted Property Value: 2767.55668994141"
## [240] "Predicted Property Value: 46.0724276172703"
## [241] "Predicted Property Value: 16261.5146331351"
## [242] "Predicted Property Value: 2886.37363275574"
## [243] "Predicted Property Value: 10470.2926889984"
## [244] "Predicted Property Value: 12040.3463194675"
## [245] "Predicted Property Value: 1719.56082068553"
## [246] "Predicted Property Value: 3992.95567199631"
## [247] "Predicted Property Value: 13095.3702155036"
## [248] "Predicted Property Value: 14525.5111023307"
## [249] "Predicted Property Value: 961.781272153827"
## [250] "Predicted Property Value: 129.740237003837"
## [251] "Predicted Property Value: 591.187260024457"
## [252] "Predicted Property Value: 9954.96811547689"
## [253] "Predicted Property Value: -347.474539986584"
## [254] "Predicted Property Value: 16596.2661137309"
## [255] "Predicted Property Value: 1449.72328534623"
## [256] "Predicted Property Value: 2120.92681624306"
## [257] "Predicted Property Value: 1894.49416807157"
## [258] "Predicted Property Value: 561.266400578984"
## [259] "Predicted Property Value: 3677.94199949115"
## [260] "Predicted Property Value: 17396.0994798523"
## [261] "Predicted Property Value: 1002.80383743849"
## [262] "Predicted Property Value: 250.449089271179"
## [263] "Predicted Property Value: 253.38807937364"
## [264] "Predicted Property Value: 4344.0054141261"
## [265] "Predicted Property Value: 13970.5502583035"
## [266] "Predicted Property Value: 4340.39038660078"
## [267] "Predicted Property Value: 824.487935163912"
## [268] "Predicted Property Value: 5995.67678776003"
## [269] "Predicted Property Value: 12359.4362431941"
## [270] "Predicted Property Value: 2547.63106858418"
## [271] "Predicted Property Value: 21275.9007853321"
## [272] "Predicted Property Value: 4136.795963922"
## [273] "Predicted Property Value: 1256.91295150601"
## [274] "Predicted Property Value: 9033.84308644372"
## [275] "Predicted Property Value: 3570.46332189889"
## [276] "Predicted Property Value: 7406.58134956729"
## [277] "Predicted Property Value: 4584.42746881403"
## [278] "Predicted Property Value: 759.583351299704"
## [279] "Predicted Property Value: 10505.8168558717"
## [280] "Predicted Property Value: 6384.66327149314"
## [281] "Predicted Property Value: 10792.9348334913"
## [282] "Predicted Property Value: 790.843648094382"
## [283] "Predicted Property Value: 1480.05760524815"
## [284] "Predicted Property Value: 1501.2181807479"
## [285] "Predicted Property Value: 11023.8085414232"
## [286] "Predicted Property Value: 1904.39106412515"
## [287] "Predicted Property Value: 596.853179309962"
## [288] "Predicted Property Value: 253.38807937364"
## [289] "Predicted Property Value: 11507.6001855826"
## [290] "Predicted Property Value: 337.972984808629"
## [291] "Predicted Property Value: 6590.71496867397"
## [292] "Predicted Property Value: 7062.51698116224"
## [293] "Predicted Property Value: 5280.06216435266"
## [294] "Predicted Property Value: 10191.0167444404"
## [295] "Predicted Property Value: 416.717594841151"
## [296] "Predicted Property Value: 3830.98811219912"
## [297] "Predicted Property Value: 1797.55990098353"
## [298] "Predicted Property Value: 890.350618030656"
## [299] "Predicted Property Value: 9220.92271981301"
## [300] "Predicted Property Value: 453.736380525195"
## [301] "Predicted Property Value: 14734.1678861272"
## [302] "Predicted Property Value: 2751.11218946994"
## [303] "Predicted Property Value: 1951.43308099475"
## [304] "Predicted Property Value: 5885.66987749768"
## [305] "Predicted Property Value: 2242.73663614158"
## [306] "Predicted Property Value: 1689.6349503977"
## [307] "Predicted Property Value: 15825.6567215834"
## [308] "Predicted Property Value: 6375.9027861657"
## [309] "Predicted Property Value: 7727.61694830414"
## [310] "Predicted Property Value: 3267.10614760046"
## [311] "Predicted Property Value: 4331.75546731408"
## [312] "Predicted Property Value: 1960.57279256307"
## [313] "Predicted Property Value: 949.92439308216"
## [314] "Predicted Property Value: 24256.2631396089"
## [315] "Predicted Property Value: 866.456498957545"
## [316] "Predicted Property Value: 1117.27892958075"
## [317] "Predicted Property Value: 573.883528953325"
## [318] "Predicted Property Value: 455.197667615685"
## [319] "Predicted Property Value: 799.077023757159"
## [320] "Predicted Property Value: 2652.09130473914"
## [321] "Predicted Property Value: 832.590039429334"
## [322] "Predicted Property Value: 864.432195494462"
## [323] "Predicted Property Value: 861.468669654164"
## [324] "Predicted Property Value: 673.128398010916"
## [325] "Predicted Property Value: -254.87544939905"
## [326] "Predicted Property Value: 712.794965058752"
## [327] "Predicted Property Value: 513.439858029889"
## [328] "Predicted Property Value: 6312.78499434575"
## [329] "Predicted Property Value: 7951.4451857792"
## [330] "Predicted Property Value: 13909.8735018087"
## [331] "Predicted Property Value: -653.193055246812"
## [332] "Predicted Property Value: 10770.0208547962"
## [333] "Predicted Property Value: 4111.49697151639"
## [334] "Predicted Property Value: 926.422650694346"
## [335] "Predicted Property Value: -152.986342149818"
## [336] "Predicted Property Value: 7566.81530215869"
## [337] "Predicted Property Value: 3076.94286461112"
## [338] "Predicted Property Value: 13717.5253183215"
## [339] "Predicted Property Value: 1117.52037663763"
## [340] "Predicted Property Value: 717.380256410905"
## [341] "Predicted Property Value: 8726.46665987368"
## [342] "Predicted Property Value: 15798.2321628912"
## [343] "Predicted Property Value: 19311.3745596776"
## [344] "Predicted Property Value: 1063.9115813874"
## [345] "Predicted Property Value: 5099.18374716258"
## [346] "Predicted Property Value: 1388.07676373163"
## [347] "Predicted Property Value: 10628.9313046623"
## [348] "Predicted Property Value: 1047.95225116306"
## [349] "Predicted Property Value: 260.845411736681"
## [350] "Predicted Property Value: 494.424748642442"
## [351] "Predicted Property Value: 875.600827880842"
## [352] "Predicted Property Value: 262.632620802029"
## [353] "Predicted Property Value: 1187.69743148547"
## [354] "Predicted Property Value: 916.478647151909"
## [355] "Predicted Property Value: 778.964511825985"
## [356] "Predicted Property Value: 2446.21859732028"
## [357] "Predicted Property Value: 365.895772027647"
## [358] "Predicted Property Value: 1805.03652261344"
## [359] "Predicted Property Value: 4698.4276736034"
## [360] "Predicted Property Value: 45.9065027422839"
## [361] "Predicted Property Value: 555.180889276915"
## [362] "Predicted Property Value: 3111.95236110639"
## [363] "Predicted Property Value: 4187.72970573664"
## [364] "Predicted Property Value: -136.794757320757"
## [365] "Predicted Property Value: 945.369061782724"
## [366] "Predicted Property Value: 4686.7230997321"
## [367] "Predicted Property Value: 1380.45657551045"
## [368] "Predicted Property Value: 11168.3269342252"
## [369] "Predicted Property Value: 1653.76194505858"
## [370] "Predicted Property Value: 732.981758148421"
## [371] "Predicted Property Value: 1052.83398114407"
## [372] "Predicted Property Value: 5018.66418936021"
## [373] "Predicted Property Value: 1839.7552313953"
## [374] "Predicted Property Value: 2741.50276109174"
## [375] "Predicted Property Value: 2587.77642628652"
## [376] "Predicted Property Value: 2219.25992253632"
## [377] "Predicted Property Value: 937.720693141294"
## [378] "Predicted Property Value: 6699.20265335396"
## [379] "Predicted Property Value: 6803.52380772798"
## [380] "Predicted Property Value: 1242.26447270083"
## [381] "Predicted Property Value: 1227.38460177969"
## [382] "Predicted Property Value: 6119.68326936374"
## [383] "Predicted Property Value: 351.893598022899"
## [384] "Predicted Property Value: 1497.33886998143"
## [385] "Predicted Property Value: 312.562073401877"
## [386] "Predicted Property Value: 10251.7077418042"
## [387] "Predicted Property Value: 366.109325243981"
## [388] "Predicted Property Value: 1496.91856686726"
## [389] "Predicted Property Value: 3879.17998080114"
## [390] "Predicted Property Value: 822.642329376605"
## [391] "Predicted Property Value: 1459.98694928491"
## [392] "Predicted Property Value: 1864.94020133923"
## [393] "Predicted Property Value: 8405.89855863952"
## [394] "Predicted Property Value: 100.922610933128"
## [395] "Predicted Property Value: 198.250840069616"
## [396] "Predicted Property Value: 606.515176065865"
## [397] "Predicted Property Value: 13503.0915511638"
## [398] "Predicted Property Value: 13579.2506014854"
## [399] "Predicted Property Value: 8881.68410415866"
## [400] "Predicted Property Value: 6058.58213669866"
## [401] "Predicted Property Value: -64.9197644412886"
## [402] "Predicted Property Value: 1902.29181253142"
## [403] "Predicted Property Value: 621.219548442655"
## [404] "Predicted Property Value: 8638.71111967302"
## [405] "Predicted Property Value: 21537.9499815424"
## [406] "Predicted Property Value: 6414.20310808633"
## [407] "Predicted Property Value: 9631.36891062835"
## [408] "Predicted Property Value: 11864.2055019466"
## [409] "Predicted Property Value: 4399.45178075245"
## [410] "Predicted Property Value: 721.226190421392"
## [411] "Predicted Property Value: 457.44401415219"
## [412] "Predicted Property Value: 9460.39813584393"
## [413] "Predicted Property Value: 1249.30716661908"
## [414] "Predicted Property Value: 1126.73216786666"
## [415] "Predicted Property Value: 781.398561446827"
## [416] "Predicted Property Value: 250.249952395891"
## [417] "Predicted Property Value: 618.789320368116"
## [418] "Predicted Property Value: 411.790256578945"
## [419] "Predicted Property Value: 933.022599663478"
## [420] "Predicted Property Value: 15159.9147858491"
## [421] "Predicted Property Value: 351.294434401721"
## [422] "Predicted Property Value: 8570.23010735899"
## [423] "Predicted Property Value: 96.6913246607132"
## [424] "Predicted Property Value: 433.662686678375"
## [425] "Predicted Property Value: 645.124727598492"
## [426] "Predicted Property Value: 4127.77976110501"
## [427] "Predicted Property Value: 8440.51522198908"
## [428] "Predicted Property Value: 137.52929789626"
## [429] "Predicted Property Value: 1179.95332936594"
## [430] "Predicted Property Value: 11507.4188731284"
## [431] "Predicted Property Value: 49.9713572638685"
## [432] "Predicted Property Value: 12818.1416082894"
## [433] "Predicted Property Value: 1109.74588254108"
## [434] "Predicted Property Value: 4.33214888209585"
## [435] "Predicted Property Value: 5249.30038655295"
## [436] "Predicted Property Value: 233.126328674388"
## [437] "Predicted Property Value: 604.837830714768"
## [438] "Predicted Property Value: 3115.46086155231"
## [439] "Predicted Property Value: 2284.48166597295"
## [440] "Predicted Property Value: 5564.35940370319"
## [441] "Predicted Property Value: 1155.269305879"
## [442] "Predicted Property Value: 3062.91645889254"
## [443] "Predicted Property Value: 581.359295106015"
## [444] "Predicted Property Value: 477.770865543888"
## [445] "Predicted Property Value: 573.22716987874"
## [446] "Predicted Property Value: 318.637369881215"
## [447] "Predicted Property Value: 9209.86037412736"
## [448] "Predicted Property Value: 1978.7465964086"
## [449] "Predicted Property Value: 14585.3808142147"
## [450] "Predicted Property Value: 4461.22483328875"
## [451] "Predicted Property Value: 1145.53786356605"
## [452] "Predicted Property Value: 4043.12710762807"
## [453] "Predicted Property Value: 2193.84901112957"
## [454] "Predicted Property Value: 1528.72572068342"
## [455] "Predicted Property Value: 518.509097256037"
## [456] "Predicted Property Value: 7232.56490854739"
## [457] "Predicted Property Value: 4438.22003174968"
## [458] "Predicted Property Value: 4799.26013985371"
## [459] "Predicted Property Value: 11147.2970285746"
## [460] "Predicted Property Value: 1769.61287561108"
## [461] "Predicted Property Value: 15798.2321628912"
## [462] "Predicted Property Value: 10782.6105412565"
## [463] "Predicted Property Value: 933.667967301868"
## [464] "Predicted Property Value: 15796.60659827"
## [465] "Predicted Property Value: 2947.94576256376"
## [466] "Predicted Property Value: 3256.23437551291"
## [467] "Predicted Property Value: 1452.46774390049"
## [468] "Predicted Property Value: 12556.5555670057"
## [469] "Predicted Property Value: 16434.6463418214"
## [470] "Predicted Property Value: 2240.3133523435"
## [471] "Predicted Property Value: 1063.99063553531"
## [472] "Predicted Property Value: 2374.75487827508"
## [473] "Predicted Property Value: 1418.02388082701"
## [474] "Predicted Property Value: 10237.3591760831"
## [475] "Predicted Property Value: 5537.05667730802"
## [476] "Predicted Property Value: 6308.43053727288"
## [477] "Predicted Property Value: 8353.60151837974"
## [478] "Predicted Property Value: 1821.7907873134"
## [479] "Predicted Property Value: 7325.69743604227"
## [480] "Predicted Property Value: 15016.122525003"
## [481] "Predicted Property Value: 11401.4061426421"
## [482] "Predicted Property Value: 1082.82325943365"
## [483] "Predicted Property Value: 10602.8699185117"
## [484] "Predicted Property Value: 1411.03350810089"
## [485] "Predicted Property Value: 11749.6969084932"
## [486] "Predicted Property Value: 336.925679517789"
## [487] "Predicted Property Value: 352.949522556088"
## [488] "Predicted Property Value: 14585.3808142147"
## [489] "Predicted Property Value: 1218.13486322881"
## [490] "Predicted Property Value: 2337.45009642818"
## [491] "Predicted Property Value: 14998.3568097945"
## [492] "Predicted Property Value: 268.234407878679"
## [493] "Predicted Property Value: 1637.51135362623"
## [494] "Predicted Property Value: 4423.48166415769"
## [495] "Predicted Property Value: 4424.92021788306"
## [496] "Predicted Property Value: 326.40717564039"
## [497] "Predicted Property Value: 9322.08049214775"
## [498] "Predicted Property Value: 544.986814222399"
## [499] "Predicted Property Value: 202.81124743925"
## [500] "Predicted Property Value: 10979.2434724126"
## [501] "Predicted Property Value: 8606.94602779249"
## [502] "Predicted Property Value: 1369.36617091384"
## [503] "Predicted Property Value: 12566.7991135277"
## [504] "Predicted Property Value: 907.730399273722"
## [505] "Predicted Property Value: 4427.62261132827"
## [506] "Predicted Property Value: 452.859025880822"
## [507] "Predicted Property Value: 13383.8895584652"
## [508] "Predicted Property Value: 2217.93669247124"
## [509] "Predicted Property Value: 7214.78819809492"
## [510] "Predicted Property Value: 1257.99724583571"
## [511] "Predicted Property Value: 6275.6314365543"
## [512] "Predicted Property Value: 1299.58045280464"
## [513] "Predicted Property Value: -678.603966653563"
## [514] "Predicted Property Value: 1180.68021728575"
## [515] "Predicted Property Value: 12491.5621072403"
## [516] "Predicted Property Value: 572.683757223336"
## [517] "Predicted Property Value: 11101.7390633649"
## [518] "Predicted Property Value: -247.686143498515"
## [519] "Predicted Property Value: 515.325712010473"
## [520] "Predicted Property Value: 500.200721739127"
## [521] "Predicted Property Value: 16266.4055434752"
## [522] "Predicted Property Value: 768.506191346208"
## [523] "Predicted Property Value: 6514.48223445372"
## [524] "Predicted Property Value: 5251.09032660692"
## [525] "Predicted Property Value: 1092.63266910288"
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