Difference Between ggvis VS ggplot in R

R programming language provides many tools and packages to visualize the data points using interactive plots. ggpvis vs ggplot2 plots can be annotated or customized with different headings, titles, and color schemes to improve the readability of the data plotted. 

ggvis

The ggvis package in R is used for data visualization. It is also used to create interactive web graphics. It is also used to create interactive graphs and plots. It is an addition to the ggplot package. It provides the framework to build HTML graphs in the working space. The package can be downloaded and installed into the working space using the following command : 

install.packages("ggvis")

Output

[1] "Data Frame" 
col2 col3 
1 1 A 
2 2 B 
3 3 C 
4 4 D 
5 5 E 
6 6 F 
7 7 G 
8 8 H

👁 Image

ggplot

The ggplot2 package is a powerful and widely used package for graphic visualization. It can be used to provide a lot of aesthetic mappings to the plotted graphs. This package is widely available in R. The package can be downloaded and installed into the working space using the following command : 

install.packages("ggplot2")

The ggplot method can be used to create a ggplot object. The graphical object is used to create plots by providing the data and its respective points. The data can be plotted using both points as well as lines. 

ggplot(data, aes = ) 

Arguments :

• data - The data to be plotted
• aes - The aesthetic mappings

Output

[1] "Data Frame" 
 col2 col3 
1 1 A 
2 2 B 
3 3 C 
4 4 D 
5 5 E 
6 6 F 
7 7 G 
8 8 H

👁 Image

Now we perform some visualization on both the packages using Iris dataset.

ggvis Scatter Plot

Output:

👁 r1

Scatter Plot using ggplot2

Output:

👁 gh

Interactive Bar Chart using ggvis

Output:

👁 r2

Interactive Bar Chart using ggplot

Output:

👁 gh

Box Plot using ggvis

Output:

👁 r3

Box Plot using ggplot2

Output:

👁 gh

Table of difference between ggvis and ggplot

The following table is used to illustrate the differences between both the packages : 

ggvis	ggplot
Can be used for constructing both static and interactive plots.	Can be used for constructing only static plots.
ggvis package is required	ggplot2 package is required
Faster	Slower
Simpler plots are constructed	Complex but elegant plots are constructed
It doesn't support a good annotation framework	It supports a good annotation framework
Doesn't easily output ordinary image files.	Quickly outputs ordinary image files.