Now let’s have a look at some 2-Dimensional plots:
As mentioned earlier, these plots are made with the help of R software.
A bar plot is also known as a bar chart that shows bars of different values hence of different heights to depict the relationship between numerical and some sort of categorical data.
Syntax of Bar plot in R:
A simple way of representing statistical data on a plot during which a rectangle is drawn to represent the second and third quartiles, usually with a vertical line inside to point to the median. The lower and upper quartiles are shown as horizontal lines on either side of the rectangle.
Syntax of Boxplot in R:
This plot is used to visualize the relationship between the continuous variables. Since the data points seem to be scattered in the graph hence, it is called a scatter plot. It uses cartesian coordinates to display the values.
Syntax of Scatterplot in R:
ggplot(titanic,aes(x = age, y = fare))+ geom_point()
4. 2D PIE CHART
It is used to represent values in the form of slices of a circle in different colours. We label the slices and represent those numbers in the chart.
Syntax of 2D Pie chart in R:
library(plotly) fig <- plot_ly(titanic, labels = ~names, values = ~fare, type = 'pie') fig
5. 2D DENSITY PLOT
A related visualization to the histogram is a density plot. A density plot is a smoothed version of the histogram. It uses a kernel density estimate to point out the probability density function of the variable.
Syntax of Density Plot in R:
ggplot(data, aes(x=x, y=y))+ stat_density_2d(aes(fill = ..level..),geom=”polygon”)
Bhavyaa Sharma is a student of M.Sc. Data Science at the Chandigarh University. She is very passionate about mathematics and loves to write articles about it. Apart from that, she loves sports very much and also, she is a brilliant chess player.