KOMSTAT I
Rani
2026-04-24
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BJSHJASJAHHAHAHAHHAHA INI BOLD ITALIC EYY [links]
kode baru
kode baru tuh pokoknya baru, adalah pokoknya
data(mtcars)
View(mtcars)
#NOMOR 1 (STRUKTUR DATA & PEMBERSIHAN)#
data_mobil = mtcars; data_mobil## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
## Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
## Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
## Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
## Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
## Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
## Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
## Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
## Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
## Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
## Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
## Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
## Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
## Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
## Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
## Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
## Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
## Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
## Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
## Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
## Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
## Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
## AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
## Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
## Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
## Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
## Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
## Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
## Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
## Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
## Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
## Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2data_mobil$am = factor(data_mobil$am, levels = c(0,1),
labels = c("Automatic", "Manual"))
str(data_mobil)## 'data.frame': 32 obs. of 11 variables:
## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
## $ disp: num 160 160 108 258 360 ...
## $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
## $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
## $ qsec: num 16.5 17 18.6 19.4 17 ...
## $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
## $ am : Factor w/ 2 levels "Automatic","Manual": 2 2 2 1 1 1 1 1 1 1 ...
## $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
## $ carb: num 4 4 1 1 2 1 4 2 2 4 ...laporan_objek = list(nama_mobil = rownames(mtcars),
data_frame = data_mobil,
matriks_datamobil = as.matrix(data_mobil[1:5,]))
laporan_objek## $nama_mobil
## [1] "Mazda RX4" "Mazda RX4 Wag" "Datsun 710"
## [4] "Hornet 4 Drive" "Hornet Sportabout" "Valiant"
## [7] "Duster 360" "Merc 240D" "Merc 230"
## [10] "Merc 280" "Merc 280C" "Merc 450SE"
## [13] "Merc 450SL" "Merc 450SLC" "Cadillac Fleetwood"
## [16] "Lincoln Continental" "Chrysler Imperial" "Fiat 128"
## [19] "Honda Civic" "Toyota Corolla" "Toyota Corona"
## [22] "Dodge Challenger" "AMC Javelin" "Camaro Z28"
## [25] "Pontiac Firebird" "Fiat X1-9" "Porsche 914-2"
## [28] "Lotus Europa" "Ford Pantera L" "Ferrari Dino"
## [31] "Maserati Bora" "Volvo 142E"
##
## $data_frame
## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 Manual 4 4
## Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 Manual 4 4
## Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 Manual 4 1
## Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 Automatic 3 1
## Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 Automatic 3 2
## Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 Automatic 3 1
## Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 Automatic 3 4
## Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 Automatic 4 2
## Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 Automatic 4 2
## Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 Automatic 4 4
## Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 Automatic 4 4
## Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 Automatic 3 3
## Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 Automatic 3 3
## Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 Automatic 3 3
## Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 Automatic 3 4
## Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 Automatic 3 4
## Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 Automatic 3 4
## Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 Manual 4 1
## Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 Manual 4 2
## Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 Manual 4 1
## Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 Automatic 3 1
## Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 Automatic 3 2
## AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 Automatic 3 2
## Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 Automatic 3 4
## Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 Automatic 3 2
## Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 Manual 4 1
## Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 Manual 5 2
## Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 Manual 5 2
## Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 Manual 5 4
## Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 Manual 5 6
## Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 Manual 5 8
## Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 Manual 4 2
##
## $matriks_datamobil
## mpg cyl disp hp drat wt qsec vs am
## Mazda RX4 "21.0" "6" "160" "110" "3.90" "2.620" "16.46" "0" "Manual"
## Mazda RX4 Wag "21.0" "6" "160" "110" "3.90" "2.875" "17.02" "0" "Manual"
## Datsun 710 "22.8" "4" "108" " 93" "3.85" "2.320" "18.61" "1" "Manual"
## Hornet 4 Drive "21.4" "6" "258" "110" "3.08" "3.215" "19.44" "1" "Automatic"
## Hornet Sportabout "18.7" "8" "360" "175" "3.15" "3.440" "17.02" "0" "Automatic"
## gear carb
## Mazda RX4 "4" "4"
## Mazda RX4 Wag "4" "4"
## Datsun 710 "4" "1"
## Hornet 4 Drive "3" "1"
## Hornet Sportabout "3" "2"#NOMOR 2 (CONDITIONAL & LOOP)#
data_mobil$efisiensi = NA
for(i in 1:nrow(data_mobil)){
if(data_mobil$mpg[i] > 20){
data_mobil$efisiensi[i] = "Irit"
} else {
data_mobil$efisiensi[i] = "Boros"
}
}
head(data_mobil)## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 Manual 4 4
## Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 Manual 4 4
## Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 Manual 4 1
## Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 Automatic 3 1
## Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 Automatic 3 2
## Valiant 18.1 6 225 105 2.76 3.460 20.22 1 Automatic 3 1
## efisiensi
## Mazda RX4 Irit
## Mazda RX4 Wag Irit
## Datsun 710 Irit
## Hornet 4 Drive Irit
## Hornet Sportabout Boros
## Valiant Borosi <- 1
while (i <= nrow(data_mobil)) {
if (data_mobil$hp[i] > 200) {
print(rownames(data_mobil)[i])
break
}
i <- i + 1
}## [1] "Duster 360"#NOMOR 3 (FUNCTION & SWITCH)#
konversi_berat = function(wt){
hasil = wt * 1000 * 0.453
return(hasil)
}
konversi_berat(data_mobil$wt)## [1] 1186.860 1302.375 1050.960 1456.395 1558.320 1567.380 1617.210 1445.070
## [9] 1426.950 1558.320 1558.320 1843.710 1689.690 1712.340 2378.250 2457.072
## [17] 2421.285 996.600 731.595 831.255 1116.645 1594.560 1556.055 1739.520
## [25] 1741.785 876.555 969.420 685.389 1436.010 1254.810 1617.210 1259.340kategori_silinder = function(cyl){
switch(as.character(cyl),
"4" = "Hemat Pajak", "6" = "Standar", "8" = "Pajak Mewah")
}
kategori_silinder(6)## [1] "Standar"kategori_silinder(4)## [1] "Hemat Pajak"#NOMOR 4 (APPLY FAMILY & STATISTIK DESKRIPTIF)
mean_kolom = apply(data_mobil[
, sapply(data_mobil, is.numeric)],
2, mean); mean_kolom## mpg cyl disp hp drat wt qsec
## 20.090625 6.187500 230.721875 146.687500 3.596563 3.217250 17.848750
## vs gear carb
## 0.437500 3.687500 2.812500tipe_data = sapply(data_mobil, class); tipe_data## mpg cyl disp hp drat wt
## "numeric" "numeric" "numeric" "numeric" "numeric" "numeric"
## qsec vs am gear carb efisiensi
## "numeric" "numeric" "factor" "numeric" "numeric" "character"ratarata_hp = tapply(data_mobil$hp, data_mobil$am,
mean); ratarata_hp## Automatic Manual
## 160.2632 126.8462library(magrittr)
data_mobil %>%
subset(cyl == 6) %>%
with(mean(mpg))## [1] 19.74286#NOMOR 5 (DISTRIBUSI ACAK & VISUALISASI)#
set.seed(123)
data_mobil$harga_sewa = rnorm(nrow(data_mobil),
mean = 50, sd = 100); head(data_mobil)## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 Manual 4 4
## Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 Manual 4 4
## Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 Manual 4 1
## Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 Automatic 3 1
## Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 Automatic 3 2
## Valiant 18.1 6 225 105 2.76 3.460 20.22 1 Automatic 3 1
## efisiensi harga_sewa
## Mazda RX4 Irit -6.047565
## Mazda RX4 Wag Irit 26.982251
## Datsun 710 Irit 205.870831
## Hornet 4 Drive Irit 57.050839
## Hornet Sportabout Boros 62.928774
## Valiant Boros 221.506499plot(data_mobil$hp, data_mobil$mpg,
col = data_mobil$cyl, pch = 16,
xlab = "HP(x)", ylab = "MPG(y)",
main = "Hubungan HP dan MPG")
abline(h = mean(data_mobil$mpg), col = "red", lwd = 2)
legend("topright", legend = unique(data_mobil$cyl),
col = unique(data_mobil$cyl),
pch = 16, title = "Jumlah Silinder")
pdf("Analisis_Mobil.pdf")
plot(data_mobil$hp, data_mobil$mpg,
col = data_mobil$cyl, pch = 16,
xlab = "HP(x)", ylab = "MPG(y)",
main = "Hubungan HP dan MPG")
abline(h = mean(data_mobil$mpg), col = "red", lwd = 2)
legend("topright", legend = unique(data_mobil$cyl),
col = unique(data_mobil$cyl),
pch = 16, title = "Jumlah Silinder")
dev.off()## png
## 2getwd()## [1] "C:/Users/User/Downloads/KULIAH/SEMESTER 2/KOMSTAT I PA RIFQI"