Housing = read.csv("http://www.mosaic-web.org/go/datasets/Income-Housing.csv")
Housing 
##   Income IncomePercentile CrimeProblem AbandonedBuildings IncompleteBathroom
## 1   3914                5         39.6               12.6                2.6
## 2  10817               15         32.4               10.0                3.3
## 3  21097               30         26.7                7.1                2.3
## 4  34548               50         23.9                4.1                2.1
## 5  51941               70         21.4                2.3                2.4
## 6  72079               90         19.9                1.2                2.0
##   NoCentralHeat ExposedWires AirConditioning TwoBathrooms MotorVehicle
## 1          32.3          5.5            52.3         13.9         57.3
## 2          34.7          5.0            55.4         16.9         82.1
## 3          28.1          2.4            61.7         24.8         91.7
## 4          21.4          2.1            69.8         39.6         97.0
## 5          14.9          1.4            73.9         51.2         98.0
## 6           9.6          1.0            76.7         73.2         99.0
##   TwoVehicles ClothesWasher ClothesDryer Dishwasher Telephone
## 1        17.3          57.8         37.5       16.5      68.7
## 2        34.3          61.4         38.0       16.0      79.7
## 3        56.4          78.6         62.0       25.8      90.8
## 4        75.3          84.4         75.2       41.6      96.5
## 5        86.6          92.8         88.9       58.2      98.3
## 6        92.9          97.1         95.6       79.7      99.5
##   DoctorVisitsUnder7 DoctorVisits7To18 NoDoctorVisitUnder7 NoDoctorVisit7To18
## 1                3.6               2.6                13.7               31.2
## 2                3.7               2.6                14.9               32.0
## 3                3.6               2.1                13.8               31.4
## 4                4.0               2.3                10.4               27.3
## 5                4.0               2.5                 7.7               23.9
## 6                4.7               3.1                 5.3               17.5
##   Income IncomePercentile CrimeProblem AbandonedBuildings
## 1   3914                5         39.6               12.6
## 2  10817               15         32.4               10.0
## 3  21097               30         26.7                7.1
## 4  34548               50         23.9                4.1
## 5  51941               70         21.4                2.3
## 6  72079               90         19.9                1.2
names(Housing) 
##  [1] "Income"              "IncomePercentile"    "CrimeProblem"       
##  [4] "AbandonedBuildings"  "IncompleteBathroom"  "NoCentralHeat"      
##  [7] "ExposedWires"        "AirConditioning"     "TwoBathrooms"       
## [10] "MotorVehicle"        "TwoVehicles"         "ClothesWasher"      
## [13] "ClothesDryer"        "Dishwasher"          "Telephone"          
## [16] "DoctorVisitsUnder7"  "DoctorVisits7To18"   "NoDoctorVisitUnder7"
## [19] "NoDoctorVisit7To18"
##  [1] "Income"              "IncomePercentile"    "CrimeProblem"       
##  [4] "AbandonedBuildings"  "IncompleteBathroom"  "NoCentralHeat"      
##  [7] "ExposedWires"        "AirConditioning"     "TwoBathrooms"       
## [10] "MotorVehicle"        "TwoVehicles"         "ClothesWasher"      
## [13] "ClothesDryer"        "Dishwasher"          "Telephone"          
## [16] "DoctorVisitsUnder7"  "DoctorVisits7To18"   "NoDoctorVisitUnder7"
## [19] "NoDoctorVisit7To18"
library(readr)
write.csv(Housing,"...houstingup2")