Memplot Data dalam R (Scatter Plot)
simpan=read.table("data3.1.csv", header=TRUE, sep=";") #membaca data
simpan
## jeniskelamin pendapatan pengeluaran
## 1 laki-laki 1 0.5
## 2 laki-laki 2 0.5
## 3 laki-laki 3 1.1
## 4 laki-laki 4 2.0
## 5 laki-laki 5 4.0
## 6 laki-laki 6 5.0
## 7 laki-laki 7 6.2
## 8 laki-laki 8 5.5
## 9 laki-laki 9 5.8
## 10 laki-laki 10 4.5
## 11 perempuan 1 0.7
## 12 perempuan 2 1.4
## 13 perempuan 3 2.8
## 14 perempuan 4 3.3
## 15 perempuan 5 4.3
## 16 perempuan 6 5.0
## 17 perempuan 7 6.7
## 18 perempuan 8 5.9
## 19 perempuan 9 5.7
## 20 perempuan 10 8.0
plot(simpan[2:3], main="Pendapatan dan Pengeluaran per-Bulan, dalam Jutaan Rupiah")
Pendapatan=simpan$pendapatan
Pengeluaran= simpan$pengeluaran
plot(Pendapatan, Pengeluaran)
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.5.3
PENDAPATAN=simpan$pendapatan
PENGELUARAN=simpan$pengeluaran
qplot(PENDAPATAN, PENGELUARAN, main="Pendapatan dan Pengeluaran per-Bulan, dalam Jutaan", xlab = "Pendapatan", ylab = "Pengeluaran")
## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
library(ggplot2)
jenis = simpan$jeniskelamin
qplot(PENDAPATAN, PENGELUARAN, main="Pendapatan dan Pengeluaran per-Bulan, dalam Jutaan", xlab = "Pendapatan", ylab = "Pengeluaran", color = jenis)
qplot(PENDAPATAN, PENGELUARAN, main="Pendapatan dan Pengeluaran per-Bulan, dalam Jutaan", xlab = "PENDAPATAN", ylab = "PENGELUARAN", color = jenis, shape = jenis)
library(ggplot2)
ggplot(simpan, aes(pendapatan, pengeluaran)) + geom_point()
ggplot(simpan, aes(pendapatan, pengeluaran)) + geom_point(aes(color = jenis, shape = jenis))
grafik <- ggplot(simpan, aes(pendapatan, pengeluaran)) + geom_point(aes(color = jenis, shape = jenis))
grafik + scale_colour_manual(values = c("blue", "orange"))
grafik + scale_shape_manual(values = c(16, 5))
grafik + scale_colour_manual(values = c("blue", "orange")) + scale_shape_manual(values = c(5, 5))
grafik + facet_grid(. ~ jeniskelamin)
grafik + facet_grid(. ~ jeniskelamin) + scale_colour_manual(values = c("blue", "orange"))
grafik + geom_vline(xintercept = 2.5)
grafik + geom_vline(xintercept = 2.5) + geom_vline(xintercept = 5)
grafik + geom_vline(xintercept = 1.5)
grafik + geom_vline(xintercept = c(2.5, 5, 7.5))
grafik + geom_vline(xintercept = c(2.5, 5, 7.5), colour = "green", linetype = "longdash")
grafik + geom_vline(xintercept = c(2.5, 5, 7.5), colour = "green", linetype = "longdash") + geom_hline(yintercept = c(2, 4, 6), colour = "red", linetype = "longdash")
Menyajikan Data dengan Grafik Garis
simpan = read.table("data3.2.csv", header = TRUE, sep = ";") # membaca data
simpan
## tahun jenis.barang.A jenis.barang.B jenis.barang.C
## 1 2001 90 85 50
## 2 2002 110 90 55
## 3 2003 115 105 60
## 4 2004 130 110 65
## 5 2005 140 120 75
## 6 2006 155 125 80
## 7 2007 160 130 85
Tahun = simpan$tahun
Jumlah_A = simpan$jenis.barang.A
Jumlah_B = simpan$jenis.barang.B
Jumlah_C = simpan$jenis.barang.C
Jumlah_A
## [1] 90 110 115 130 140 155 160
Jumlah_B
## [1] 85 90 105 110 120 125 130
Jumlah_C
## [1] 50 55 60 65 75 80 85
plot(Tahun, Jumlah_A)
plot(Tahun, Jumlah_A, type = "o")
plot(Tahun, Jumlah_A, type = "o", col = "blue")
plot(Tahun, Jumlah_A, type = "o", col = "green")
plot(Tahun, Jumlah_A, type = "o", col = "red")
lines(Tahun, Jumlah_B, type = "o", col = "blue")
plot(Tahun, Jumlah_A, type = "o", col = "red", ylim = c(70, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue")
plot(Tahun, Jumlah_A, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green")
plot(Tahun, Jumlah_A, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", pch = 22, lty=2, col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green")
plot(Tahun, Jumlah_A, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", pch = 22, lty = 2, col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green")
plot(Tahun, Jumlah_A, type = "o", pch = 22, lty = 2, col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, pch = 22, lty = 2, col = "blue")
lines(Tahun, Jumlah_C, pch = 22, lty = 2, type = "o", col = "green")
plot(Tahun, Jumlah_A, type = "p", pch = 22, lty = 2, col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "p", pch = 22, lty = 2, col = "blue")
lines(Tahun, Jumlah_C, pch = 22, lty = 2, type = "p", col = "green")
plot(Tahun, Jumlah_A, type = "o", pch = 22, lty = 2, col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "p", pch = 22, lty = 2, col = "blue")
lines(Tahun, Jumlah_C, pch = 22, lty = 2, type = "l", col = "green")
plot.new()
plot(Tahun, Jumlah_A, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green")
title(main = "Data Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green")
title(main = "Data Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green")
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), pch = 21)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue")
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "o", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), lty = 23)
lines(Tahun, Jumlah_B, type = "o", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), lty = 23)
lines(Tahun, Jumlah_B, type = "s", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), lty = 23)
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), xaxt = "n")
Axis(at = 2001:2007, side = 1, labels = c("A", "B", "c", "D", "E", "F", "G"))
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot.new()
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180))
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), xaxt = "n")
Axis(at = 2001:2007, side = 1, labels = c("A", "B", "C", "D", "E", "F", "G"))
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), xaxt = "n")
Axis(at = 2001:2007, side = 1, labels = c("Tahun 1", "Tahun 2", "Tahun 3", "Tahun 4", "Tahun 5", "Tahun 6", "Tahun 7"))
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Total = Jumlah_A
plot(Tahun, Total, type = "o", col = "red", ylim = c(40, 180), xaxt = "n")
Axis(at = 2001:2007, side = 3, labels = c("Tahun 1", "Tahun 2", "Tahun 3", "Tahun 4", "Tahun 5", "Tahun 6", "Tahun 7"))
lines(Tahun, Jumlah_B, type = "l", col = "blue", lty = 23)
lines(Tahun, Jumlah_C, type = "o", col = "green", lty = 23)
legend(2001, 160, c("Jenis Barang A", "Jenis Barang B", "Jenis Barang C"), cex = 0.8, col = c("red", "blue", "green"), lty = 30)
title(main = "Penjualan Barang A, B, C, dari Tahun 2001-2007", col.main = "red", font.main = 4)
Menyajikan Data dengan Grafik Batang (Bagian Pertama)
simpan=read.table("data3.3.csv", header = TRUE, sep = ";") #membaca data
simpan
## tahun jenis.barang.A
## 1 2001 90
## 2 2002 110
## 3 2003 115
## 4 2004 130
## 5 2005 140
## 6 2006 155
## 7 2007 160
Tahun=simpan$tahun
Jumlah_A=simpan$jenis.barang.A
barplot(Jumlah_A, Tahun)
barplot(Jumlah_A, Tahun, main = "Penjualan Barang Jenis A dari Tahun 2001-2007", xlab = "Tahun", ylab = "Jumlah Barang yang Terjual", names.arg = c("2001", "2002", "2003", "2004", "2005", "2006", "2007"))
barplot(Jumlah_A, Tahun, main = "Penjualan Barang Jenis A dari Tahun 2001-2007", xlab = "Tahun",
ylab = "Jumlah Barang yang Terjual", names.arg = c("2001", "2002", "2003", "2004", "2005", "2006", "2007"), border = "blue")
barplot(Jumlah_A, Tahun, main = "Penjualan Barang Jenis A dari Tahun 2001-2007", xlab = "Tahun",
ylab = "Jumlah Barang yang Terjual", names.arg = c("2001", "2002", "2003", "2004", "2005", "2006", "2007"), border = "red")
barplot(Jumlah_A, Tahun, main = "Penjualan Barang Jenis A dari Tahun 2001-2007", xlab = "Tahun",
ylab = "Jumlah Barang yang Terjual", names.arg = c("2001", "2002", "2003", "2004", "2005", "2006", "2007"), border = "green", density = c(10, 20, 30, 40, 50,60,70))
library(ggplot2)
ggplot(data = simpan, aes(x=Tahun, y=Jumlah_A)) + geom_bar(stat = "identity")
ggplot(data = simpan, aes(x=Tahun, y=Jumlah_A)) + geom_bar(stat = "identity", fill = "dark blue")
ggplot(data = simpan, aes(x=Tahun, y=Jumlah_A)) + geom_bar(stat = "identity", fill = heat.colors(7))
Menyajikan Data dengan Grafik Batang (Bagian Kedua)
simpan=read.table("data3.4.csv", header = TRUE, sep = ";") #membaca data
simpan
## Jenis.Kelamin Hobi Jumlah
## 1 Laki-Laki Olahraga 90
## 2 Laki-Laki Memasak 10
## 3 Perempuan Olahraga 25
## 4 Perempuan Memasak 75
frekuensi = c(90, 10, 25, 75)
barplot(t(matrix(frekuensi, ncol = 2, byrow = TRUE, dimnames = list(c("Laki-Laki", "Perempuan"), c("Olahraga", "Memasak")))), main = "Hubungan antara Jenis Kelamin dan Hobi", xlab = "Jenis Kelamin", ylab = "Frekuensi", col = c("darkblue", "orange"), beside = TRUE, ylim = c(0, 150), legend.text = TRUE, args.legend = list(x = "topright"))
frekuensi2 <- c(2, 12, 16, 6)
barplot(frekuensi2, ylim = c(0, 20), main = "Jumlah Mahasiswa yang Memperoleh Nilai A, B, C, dan D, untuk Matakuliah Matematika 1", names.arg = c("A", "B", "C", "D"), ylab = "Jumlah Mahasiswa", xlab = "Nilai Mahasiswa", cex.names = 0.8, col = c("green", "yellow", "orange", "red"))
dat = data.frame(jenis_kelamin = factor(c("Laki-Laki", "Perempuan"), levels = c("Laki-Laki", "Perempuan")), total = c(20, 70))
dat
## jenis_kelamin total
## 1 Laki-Laki 20
## 2 Perempuan 70
library(ggplot2)
ggplot(data = dat, aes(x = jenis_kelamin, y = total)) + geom_bar(stat = "identity")
ggplot(data = dat, aes(x = jenis_kelamin, y = total, fill = jenis_kelamin)) + geom_bar(stat = "identity")
ggplot(data = dat, aes(x = jenis_kelamin, y = total, fill = jenis_kelamin)) + geom_bar(stat = "identity") + guides(fill = FALSE)
## Warning: The `<scale>` argument of `guides()` cannot be `FALSE`. Use "none" instead as
## of ggplot2 3.3.4.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
ggplot(data = dat, aes(x = jenis_kelamin, y = total, fill = jenis_kelamin)) + geom_bar(stat = "identity") + xlab("Jenis Kelamin") + ylab("Jumlah Mahasiswa") + ggtitle("Universitas XYZ")
dat = data.frame(jenis_kelamin = factor(c("Laki-laki", "Laki-laki", "Perempuan", "Perempuan")), hobi = factor(c("Olahraga", "Memasak", "Olahraga", "Memasak"), levels = c("Olahraga", "Memasak")), total = c(80, 20, 40, 60))
dat
## jenis_kelamin hobi total
## 1 Laki-laki Olahraga 80
## 2 Laki-laki Memasak 20
## 3 Perempuan Olahraga 40
## 4 Perempuan Memasak 60
ggplot(data = dat, aes(x = hobi, y = total, fill = jenis_kelamin)) + geom_bar(stat = "identity") + xlab("Hobi Mahasiswa") + ylab("Jumlah Mahasiswa") + ggtitle("Universitas XYZ") + geom_text(aes(y = total / 1.3, label = total), position = "stack")
ggplot(data = dat, aes(x = hobi, y = total, fill = jenis_kelamin)) + geom_bar(stat = "identity", position = position_dodge()) + xlab("Hobi Mahasiswa") + ylab("Jumlah Mahasiswa") + ggtitle("Universitas XYZ")
ggplot(data = dat, aes(x = hobi, y = total, fill = jenis_kelamin)) + geom_bar(stat = "identity", position = position_dodge()) + xlab("Hobi Mahasiswa") + ylab("Jumlah Mahasiswa") + ggtitle("Universitas XYZ") + geom_text(aes(y = total / 4, label = total), position = position_dodge(width = 1))
Menyajikan Data dengan Diagram Lingkaran
simpan=read.table("data3.5.csv", header = TRUE, sep = ";") #membaca data
simpan
## Produk Jumlah
## 1 A 12
## 2 B 5
## 3 C 8
## 4 D 20
pie(simpan$Jumlah, labels = simpan$Produk, main = "Data Penjualan Produk A, B, C, dan D")
pie(simpan$Jumlah, labels = simpan$Produk, main = "Data Penjualan Produk A, B, C, dan D", col = heat.colors(4))
pie(simpan$Jumlah, labels = simpan$Jumlah, main = "Data Penjualan Produk A, B, C, dan D", col = heat.colors(4))
colors = heat.colors(4)
legend(1, 0.5, c("Produk A", "Produk B", "Produk c", "Produk D"), cex = 0.8, fill = colors)
pie(simpan$Jumlah, labels = simpan$Jumlah, main = "Data Penjualan Produk A, B, C, dan D", col = c("darkblue", "orange", "yellow", "red"))
colors = c("darkblue", "orange", "yellow", "red")
legend(1, 0.5, c("Produk A", "Produk B", "Produk c", "Produk D"), cex = 0.8, fill = colors)
Persen = round(simpan$Jumlah/sum(simpan$Jumlah)*100, 4)
Persen = paste(Persen, "%", sep = "")
pie(simpan$Jumlah, labels = Persen, main = "Data Penjualan Produk A, B, C, dan D", col = c("darkblue", "orange", "yellow", "red"))
colors = c("darkblue", "orange", "yellow", "red")
legend(1, 0.5, c("Produk A", "Produk B", "Produk c", "Produk D"), cex = 0.8, fill = colors)
Persen = round(simpan$Jumlah/sum(simpan$Jumlah)*100, 4)
Persen = paste(Persen, "%", sep = "")
pie(simpan$Jumlah, labels = Persen, main = "Data Penjualan Produk A, B, C, dan D", col = c("darkblue", "orange", "yellow", "red"))
colors = c("darkblue", "orange", "yellow", "red")
legend(1, 0.5, c("Produk A", "Produk B", "Produk c", "Produk D"), cex = 0.8, fill = colors)
Jumlah = simpan$Jumlah
Produk = simpan$Produk
library(ggplot2)
pie = ggplot(simpan, aes(x = "", y = Jumlah, fill = Produk)) + geom_bar(width = 1, stat = "identity") + coord_polar("y", start = 0)
pie
library(ggplot2)
library(grid)
library(gridExtra)
## Warning: package 'gridExtra' was built under R version 4.5.3
blank_theme = theme(
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
panel.border = element_blank(),
panel.grid = element_blank(),
axis.ticks = element_blank(),
plot.title = element_text(size = 14, face = "bold")
)
library(scales)
## Warning: package 'scales' was built under R version 4.5.3
pie + blank_theme + geom_text(aes(y = Jumlah/4 + c(0, cumsum(Jumlah)[-length(Jumlah)]), label = Jumlah), size =5)
pie + blank_theme + geom_text(aes(y = Jumlah/4 + c(0, cumsum(Jumlah)[-length(Jumlah)]), label = Jumlah), size =5) + scale_fill_manual(values = c(heat.colors(4)))
Persen = round(simpan$Jumlah/sum(simpan$Jumlah)*100, 2)
Persen = paste(Persen, "%", sep = "")
pie + blank_theme + geom_text(aes(y = Jumlah/4 + c(0, cumsum(Jumlah)[-length(Jumlah)]), label = Persen), size = 5) + scale_fill_manual(values = c(heat.colors(4)))
Menyajikan Data dengan Histogram
simpan = read.csv("IQ.csv", header = TRUE)
simpan
## IQ
## 1 111
## 2 111
## 3 111
## 4 111
## 5 111
## 6 111
## 7 111
## 8 110
## 9 110
## 10 110
## 11 110
## 12 110
## 13 110
## 14 110
## 15 112
## 16 112
## 17 112
## 18 112
## 19 112
## 20 112
## 21 112
## 22 113
## 23 113
## 24 113
## 25 113
## 26 113
## 27 114
## 28 114
## 29 114
## 30 114
## 31 115
## 32 115
## 33 115
## 34 116
## 35 116
## 36 117
## 37 90
## 38 91
## 39 92
## 40 93
## 41 93
## 42 93
## 43 93
## 44 94
## 45 94
## 46 94
## 47 94
## 48 95
## 49 95
## 50 95
## 51 95
## 52 95
## 53 95
## 54 96
## 55 96
## 56 96
## 57 96
## 58 97
## 59 97
## 60 97
## 61 97
## 62 97
## 63 98
## 64 98
## 65 98
## 66 101
## 67 101
## 68 101
## 69 102
## 70 102
## 71 103
## 72 104
## 73 103
## 74 102
## 75 108
## 76 109
## 77 118
simpan_skor_IQ = simpan$IQ
hist(simpan_skor_IQ)
hist(simpan_skor_IQ, col = "lightblue")
hist(simpan_skor_IQ, col = "darkblue", ylim =c(0,40), main = "Contoh Histogram", ylab = "Frekuensi")
hist(simpan_skor_IQ, col = "orange", ylim = c(0,40), main = "Contoh Histogram", ylab = "Frekuensi", breaks = c(90, 100, 110, 120))
hist(simpan_skor_IQ, col = heat.colors(6), ylim = c(0,30), main = "Contoh Histogram", ylab = "Frekuensi",breaks = c(90, 95, 100, 105, 110, 115, 120), xlim = c(90,125))
hist(simpan_skor_IQ, col = heat.colors(6), ylim = c(0,30), main = "Contoh Histogram", ylab = "Frekuensi",breaks = c(90, 93, 96, 99, 102, 105, 108, 111, 114, 117, 120), xlim = c(90,125))
hist(simpan_skor_IQ, breaks = 6, col = heat.colors(6), ylim = c(0,30), main = "Contoh Histogram", ylab = "Frekuensi", xlim = c(90,125))
hist(simpan_skor_IQ, breaks = c(90, 117, 120), ylim = c(0,50), xlim = c(90,125), main = "Contoh Histogram", col = heat.colors(2))
hist(simpan_skor_IQ, breaks = c(90, 117, 120), ylim = c(0,80), xlim = c(90,125), main = "Contoh Histogram", col = heat.colors(2), freq = TRUE)
## Warning in plot.histogram(r, freq = freq1, col = col, border = border, angle =
## angle, : the AREAS in the plot are wrong -- rather use 'freq = FALSE'
hist(simpan_skor_IQ, breaks = c(90, 92, 97, 117, 120), ylim = c(0,80), xlim = c(90,125), main = "Contoh Histogram", col = heat.colors(4), freq = TRUE)
## Warning in plot.histogram(r, freq = freq1, col = col, border = border, angle =
## angle, : the AREAS in the plot are wrong -- rather use 'freq = FALSE'
ggplot(data = simpan, aes(IQ)) + geom_histogram(breaks = c(90, 95, 100, 105, 110, 115, 120), col = "darkblue", fill = heat.colors(6))
ggplot(data = simpan, aes(IQ)) + geom_histogram(breaks = c(90, 95, 100, 105, 110, 115, 120), col = "red", aes(fill = ..count..)) + labs(title = "Contoh Histogram") + labs(x = "IQ", y = "Jumlah") + xlim(c(90, 125)) + ylim(c(0,20)) + scale_fill_gradient("count", low = "green", high = "red")
## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_bar()`).
library(ggplot2)
ggplot(data = simpan, aes(IQ)) + geom_histogram(breaks = c(90, 93, 96, 99, 102, 105, 111, 114, 115, 120), col = "darkblue", fill = heat.colors(9), aes(fill = ..count..)) + labs(title = "Contoh Histogram") + labs(x = "IQ", y = "Jumlah") + xlim(c(90, 125)) + ylim(c(0,20)) + scale_fill_gradient("count", low = heat.colors(9), high = heat.colors(9))
