library(mosaicCalc)
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Penyajian data yang paling informatif adalah grafis. Salah satu bentuk grafik yang paling dikenal adalah scatter-plot , format di mana setiap “kasus” atau “titik data” diplot sebagai titik di lokasi koordinat yang diberikan oleh dua variabel. Sebagai contoh, berikut adalah plot pencar dari fraksi rumah tangga yang menganggap lingkungan mereka memiliki masalah kejahatan, versus pendapatan rata-rata di braket mereka.

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
Housing$TwoVehicles
## [1] 17.3 34.3 56.4 75.3 86.6 92.9
gf_point(CrimeProblem ~ TwoVehicles, data = Housing )

gf_point( 
  CrimeProblem ~ TwoVehicles, data=Housing ) %>%
  slice_plot(
    37 - TwoVehicles/1600 ~ TwoVehicles, color = "blue")

Grafik ilmiah yang dibuat dengan benar harus memiliki nama sumbu yang informatif. Anda dapat mengatur nama sumbu secara langsung menggunakan gf_labs:

gf_point(
  CrimeProblem ~ TwoVehicles, data=Housing) %>%
  gf_labs(x= "TwoVehicles Bracket ($US per household)/year",
          y = "Fraction of Households",
          main = "Crime Problem") %>%
  gf_lims(x = range(0,60), y = range(0,50))
## Warning: Removed 3 rows containing missing values (`geom_point()`).

Adapun contoh lain yaitu:

f = read.csv(
  "http://www.mosaic-web.org/go/datasets/hawaii.csv")
gf_point(water ~ time, data=f)

n = read.csv(
  "http://www.mosaic-web.org/go/datasets/stan-data.csv")
gf_point(temp ~ time, data=n)