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ggplot2

ggplot2 is the software made for Graphical Analysis in R. Today there is for Python. The code in this page is for R.

Common Code

This example is needed the code starting "ggplot".

library(ggplot2)
setwd("C:/Rtest")
Data <- read.csv("Data.csv", header=T) # Read data

Short Pass for the Graph

Graph for the analysis the relationship 2 variables
>>>Line Graph
>>>Stratified Line Graph
>>>Same Space Line Graph
>>>Basic Scatter Plot
>>>Stratified Scatter Plot
>>>Regression Line
>>>Scatter Plot for Words

Histgram
>>>Basic Histgram
>>>Stratified Histgram
>>>Good Range Histgram

Graph for 1 Variable
>>>Graph for 1 Variable Stratified by 1 Variable
>>>Graph for 1 Variable Stratified by 2 Variables
>>>Graph for 1 Variable Stratified by 3 Variables

Bar Plot
>>>Basic Bar Plot
>>>Stratified Bar Plot
>>>Frequency Plot

Adjusting the Graph
>>>Angle of Label

Graph for the analysis the relationship 2 variables

There is Line Graph as Graph for Change .

Line Graph

After Common Code

ggplot(Data, aes(x=X1,y=Y1, group=1)) + geom_line() + geom_point()# Line Graph
Line Graph

Stratified Line Graph

This code is imaged that stratified data is not in same variable.
Line Graph

library(ggplot2)
setwd("C:/Rtest")
Data <- read.csv("Data.csv", header=T)
library(tidyr)
Data_long <- tidyr::gather(Data, key="Yno", value = Ys, -X1)
# Pile up the data
ggplot(Data_long, aes(x=X1,y=Ys, colour=Yno)) + geom_line() + geom_point()# Stratified Line Graph
Stratified Line Graph

facet is used to separate the are of graphs.
ggplot(Data_long, aes(x=X1,y=Ys)) + geom_line() + geom_point() + facet_wrap(~Yno,nrow=1000)

Stratified Line Graph

Y range is adjusted for each graph.
ggplot(Data_long, aes(x=X1,y=Ys)) + geom_line() + geom_point() + facet_wrap(~Yno,scales="free",nrow=1000)

Stratified Line Graph

The effect of adjusting the Y range is clear if units or orders of each variable are different. Graphs below are made to check this effect.
Stratified Line Graph Stratified Line Graph Stratified Line Graph

ggplot(Data_long, aes(x=X1,y=Ys)) + geom_line() + geom_point() + facet_wrap(~Yno,scales="free") # Make many line graghs that of Y ranges are different

Stratified Line Graph

Same Space Line Graph

In the graphs above, space of plots of X axis are not same because X axis data is number type data. If we want same space, changing data type into factor data is one of the solution.
Data$X1 <-factor(Data$X1) # Changing data type into factor data
ggplot(Data, aes(x=X1,y=Y1, group=1)) + geom_line() + geom_point()
Line Graph

The other solution is changing X1 into numbers of columns.
Data$X1 <-as.numeric(row.names(Data)) # changing X1 into numbers of columns
ggplot(Data, aes(x=X1,y=Y1)) + geom_line() + geom_point()

Line Graph

Stratified Scatter Plot

ggplot(Data, aes(x=X1, y=Y1)) + geom_point(aes(colour=C1, shape=C1))
Stratified Scatter Plot

Adjust Range

ggplot(Data, aes(x=X1, y=Y1)) + geom_point(aes(colour=C1, shape=C1)) + coord_cartesian(xlim=c(0,20),ylim=c(0,20))
Scatter Plot

Regression Line

ggplot(Data, aes(x=X1, y=Y1)) + geom_point(aes(colour=C1, shape=C1)) + geom_smooth(method = "lm",aes(fill = C1))
Scatter Plot

If without "aes(fill = C1)", regression line is made for all data not for each category.

Scatter Plot for Words

Scatter Plot for Words is also made.

ggplot(Data, aes(x=X1, y=Y1,label=C1)) + geom_text() # Scatter Plot for Words
Scatter Plot for Words Scatter Plot for Words

Histgram

Histgram is made

Histgram is one of the Graph for 1 Variable . But I separate the introduction because making process is different.

Basic Histgram

ggplot(Data, aes(x=Y1)) + geom_histogram()
Histgram2

Stratified Histgram

ggplot(Data, aes(x=Y1)) + geom_histogram() + facet_grid(C1~.)
Stratified Histgram

ggplot(Data, aes(x=Y1)) + geom_histogram() + facet_grid(C1+C2~.)
Stratified Histgram

Good Range Histgram

Default setting od ggplot2 make 30 section for data range.
Histgram

Example below is made to change sections for easy understanding of data.

Data[,'Y1r']<-trunc(Data[,'Y1']/10)*10# unit is 10
ggplot(Data, aes(x=Y1r)) + geom_histogram(binwidth = 10)
Histgram

Example to change the section Data[,'Y1r']<-trunc(Data[,'Y1']) # unit is 1
Data[,'Y1r']<-trunc(Data[,'Y1']/0.5)*0.5 # unit is 0.5


Graph for 1 Variable

Graph for 1 Variable Stratified by 1 Variable

Making 1-Dimension Scatter Plot .

ggplot(Data, aes(x=C1, y=Y1)) + geom_point()
1-Dimension Scatter Plot

ggplot(Data, aes(x=C1, y=Y1)) + geom_jitter(size=1, position=position_jitter(0.1))# 1-Dimension Jitter Plot
1-Dimension Scatter Plot

Making Box Plot .

ggplot(Data, aes(x=C1, y=Y1)) + geom_boxplot()
Box Plot>
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<h3 id= Graph for 1 Variable Stratified by 2 Variables

ggplot(Data, aes(x=C1, y=Y1)) + geom_jitter(size=1, position=position_jitter(0.1)) +facet_grid(.~C2)
1-Dimension Scatter Plot

Example of many categories.
1-Dimension Scatter Plot

"facet_grid" puts graphs on a line. "facet_wrap" puts graphs in a good balance.

ggplot(Data, aes(x=C2, y=Y1)) + geom_point() +facet_wrap(~C1)
1-Dimension Scatter Plot

Graph for 1 Variable Stratified by 3 Variables

ggplot(Data, aes(x=C1, y=Y1)) + geom_jitter(size=1, position=position_jitter(0.1)) +facet_grid(.~C2+C3)
1-Dimension Scatter Plot

ggplot(Data, aes(x=C1, y=Y1)) + geom_jitter(size=1, position=position_jitter(0.1)) +facet_grid(C2~C3)
1-Dimension Scatter Plot

Bar Plot

Basic Bar Plot

Making Bar Plot

ggplot(Data, aes(x=C1, y=Y1)) + geom_bar(stat = "identity")
Bar Plot

Stratified Bar Plot

ggplot(Data, aes(x=C1, y=Y1)) + geom_bar(stat="identity", aes(fill=C1)) + facet_grid(. ~ C2)
Bar Plot

Frequency Plot

"C1" and "C2" are categorical data.

ggplot(Data, aes(x=C1)) + geom_bar() + facet_grid(. ~ C2)
Bar Plot Data of Bar Plot

Adjusting the Graph

Angle of Label

Changing the angle of label/

ggplot(Data, aes(x=C1, y=Y1)) + geom_bar(stat = "identity") + theme(axis.text = element_text(angle = 90))
Bar Plot

ggplot(Data, aes(x=C1, y=Y1)) + geom_boxplot() + theme(axis.text = element_text(angle = 90))
Box Plot



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