Data Science Vidhya

Data Visualization with R codes: Barplots and Scatter plots

• Posted on February 3, 2022
• Ateeque Shaikh
• No Comments
• Data Science

Read the earlier article to understand the data by clicking on the link below

https://datasciencevidhya.com/post/data-visualization-with-r-histogram-boxplot-piechart-mosiacplot-correlation

 

Barplot

barplot(table(dataset$age))

# dataput to the command must be vector or matrix
# If you want a horizontal barplot

barplot(table(dataset$age), horiz = TRUE)

# Let us give give title to the barplot

barplot(table(dataset$age),
horiz = FALSE,
main = "age" )

# Let us give axes names

barplot(table(dataset$age),
horiz = FALSE,
main = "age",
xlab = "age",
ylab = "count")

# Let us color to the plot
barplot(table(dataset$age),
horiz = FALSE,
main = "age",
xlab = "age",
ylab = "count",
col = "Blue",
border = "green",
)

## let us add space between the bars
# the amount of space (as a fraction of the average bar width) left before each bar.

barplot(table(dataset$age),
horiz = FALSE,
main = "age",
xlab = "age",
ylab = "count",
col = "Blue",
space = 5)
# Adding limits to X-Axis and y-Axis

# Let us give axes names
barplot(table(dataset$age),
horiz = FALSE,
main = "age",
xlab = "age",
ylab = "count",
col = "Blue",
border = "green",
xlim = c(0, 87),
ylim = c(0, 300))

barplot(table(dataset$age) ,
horiz = FALSE,
main = "age",
xlab = "age",
ylab = "count",
col = "Blue",
border = "green",
xlim = c(0, 87),
ylim = c(0, 300))

Scatter Plot

##Scatter plot - to understand how does one variable change with another variable

# Scatter plots help in visualizing data easily and for simple data inspection.

#Multivariate Scatter Plot

plot(dataset$duration~dataset$y)

# Let us label to the x axias and y axis
plot(dataset$duration~dataset$y, ylab = "duration", xlab = "y")

# Let us add title to the plot
plot(dataset$duration~dataset$y, ylab = "duration", xlab = "y", main = "duration vs y")

# Let us add color to the plot
plot(dataset$duration~dataset$y,
ylab = "duration",
xlab = "y",
main = "duration vs y",
col = "blue")

# Let us add the shape of the plot
# this will give me a solid circle

plot(dataset$duration~dataset$y,
ylab = "duration",
xlab = "y",
main = "duration vs y",
col = "blue",
pch = 16)
plot(dataset$balance~dataset$age)
plot(dataset$duration~dataset$campaign)