1. Housing
Housing = read.csv("http://www.mosaic-web.org/go/datasets/Income-Housing.csv")
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"
Housing$CrimeProblem
## [1] 39.6 32.4 26.7 23.9 21.4 19.9
  1. gf_point
library(mosaicCalc)
## Loading required package: mosaicCore
## Loading required package: Deriv
## Loading required package: Ryacas
## 
## Attaching package: 'Ryacas'
## The following object is masked from 'package:stats':
## 
##     integrate
## The following objects are masked from 'package:base':
## 
##     %*%, diag, diag<-, lower.tri, upper.tri
## Registered S3 method overwritten by 'mosaic':
##   method                           from   
##   fortify.SpatialPolygonsDataFrame ggplot2
## 
## Attaching package: 'mosaicCalc'
## The following object is masked from 'package:stats':
## 
##     D
gf_point( 
  CrimeProblem ~ Income, data=Housing ) %>%
  slice_plot(
    40 - Income/2000 ~ Income, color = "red")

gf_point(
  CrimeProblem ~ Income, data = Housing) %>% 
  slice_plot(
    40 - Income / 2000 ~ Income, color = "blue") %>%
  gf_lims(
    x = range(0,100000), 
    y=range(0,50))

gf_point(
  CrimeProblem ~ Income, data=Housing) %>%
  gf_labs(x= "Income Bracket ($US per household)/year",
          y = "Fraction of Households",
          main = "Crime Problem") %>%
  gf_lims(x = range(0,100000), y = range(0,50))

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