#BAB 3 Menyajikan Data dalam Grafik
#Menyajikan Data dalam Grafik
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 0.9
## 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)
PENDAPATAN = simpan$pendapatan
PENGELUARAN = simpan$pengeluaran
qplot(PENDAPATAN, PENGELUARAN, main = "Pendapatan dan Pengeluaran per-Bulan, dalam Jutaan",
xlab = "Pendapatan per-Bulan", ylab = "Pengeluaran per-Bulan")
## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## 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, 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, type = "o", pch = 22, lty = 2, col = "blue")
lines(Tahun, Jumlah_C, pch = 22, lty = 2, type ="l", 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 ="l", 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 = "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(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, names.arg=Tahun)
barplot(Jumlah_A, 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, main="Penjualan Barang Jenis A dari Tahun 2001-2007", xlab="Tahun",
ylab="Jumlah Barang yang Terjual", names.arg=Tahun)
barplot(Jumlah_A, 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, 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, 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 = "darkblue")
ggplot(data = simpan, aes(x = tahun, y = Jumlah_A)) + geom_bar(stat = "identity", fill = heat.colors(7))
#Menyimpan 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",
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 every 8 hours.
## 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") + geom_text(aes(y=total/4, label=total), position=position_dodge(width=1))
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$Produk
library(ggplot2)
pie = ggplot(simpan, aes(x="", y=Jumlah, fill=Produk)) +geom_bar(width=1, stat="identity") + coord_polar("y", start=0)
pie
library(ggplot2)
library(grid)
blank_theme <- theme(
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
panel.border = element_blank(),
panel.grid = element_blank(),
axis.ticks = element_blank(),
plot.title = element_text(size=14, face="bold"))
library(scales)
pie + blank_theme + geom_text(aes(y = Jumlah/4 + c(0, cumsum(Jumlah)[-length(Jumlah)]), label = Jumlah), size = 5)
pie + blank_theme + geom_text(aes(y = Jumlah/4 + c(0, cumsum(Jumlah)[-length(Jumlah)]), label = Jumlah), size = 5) +
scale_fill_manual(values = c(heat.colors(4)))
Persen = round(simpan$Jumlah / sum(simpan$Jumlah) * 100, 2)
Persen = paste(Persen, "%", sep="")
pie + blank_theme + geom_text(aes(y = Jumlah/4 + c(0, cumsum(Jumlah)[-length(Jumlah)]),
label = Persen), size = 5) +
scale_fill_manual(values = heat.colors(4))
#Menyajikan Data dengan Histogram
simpan=read.csv("IQ.csv", header=TRUE)
simpan
## IQ
## 1 111
## 2 111
## 3 111
## 4 111
## 5 111
## 6 111
## 7 111
## 8 110
## 9 110
## 10 110
## 11 110
## 12 110
## 13 110
## 14 110
## 15 112
## 16 112
## 17 112
## 18 112
## 19 112
## 20 112
## 21 112
## 22 113
## 23 113
## 24 113
## 25 113
## 26 113
## 27 114
## 28 114
## 29 114
## 30 114
## 31 115
## 32 115
## 33 115
## 34 116
## 35 116
## 36 117
## 37 90
## 38 91
## 39 92
## 40 92
## 41 93
## 42 93
## 43 93
## 44 94
## 45 94
## 46 94
## 47 94
## 48 95
## 49 95
## 50 95
## 51 95
## 52 95
## 53 95
## 54 96
## 55 96
## 56 96
## 57 96
## 58 97
## 59 97
## 60 97
## 61 97
## 62 97
## 63 98
## 64 98
## 65 98
## 66 101
## 67 101
## 68 101
## 69 102
## 70 102
## 71 103
## 72 104
## 73 103
## 74 102
## 75 108
## 76 109
## 77 118
simpan_skor_IQ=simpan$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(0,80), 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 every 8 hours.
## 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, 120),
col = "darkblue", aes(fill = after_stat(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)[1],
high = heat.colors(9)[9])
ggplot(data = simpan, aes(IQ)) + geom_histogram(breaks = c(90, 93, 96, 99, 102, 105, 111, 114, 120),
col = "darkblue", aes(fill = after_stat(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)[1], high = heat.colors(9)[9])