Can We Change The Color Of Subject In Email Using R

Introduction to Pie Charts in R

Pie Nautical chart in R is one of the basic nautical chart features which are represented in the round nautical chart symbol. The section of the circle shows the data value proportions. The sections of the pie chart can be labeled with meaningful names. Pie charts are by and large preferred for pocket-size-size vector variables. Pie charts tin can be of two-dimensional view or three-dimensional views based upon the R packages. Pie is the office in R language which is supporting two-dimensional pie charts. Pie charts are very useful for data analysis. Pie charts in R can exist assigned with a meaning title using main equally a parameter in the pie function.

Using the pie charts, patterns in the information can be understood easily, whereas if we go through the numeric effigy, often agreement takes a while. For example, if we plot the to a higher place example as a pie chart, we tin understand the amount of production and proportion of production within a infinitesimal.

There are various packages for plotting pie charts in R, and among those many options, nosotros shall focus on 2 methods in this article.

Syntax

The above section provided a cursory thought of the pie chart and its utilize. In this section, we shall larn nigh pie charts in R specifically. For those who are new to R, it is a programming language mainly used for data assay and machine learning. R is quite rich in its functionality and provides hundreds of libraries for diverse use cases.

In R, it can be created by using a simple in-built function, and the syntax for the same is given below.

pie(x, labels, radius, principal, col, clockwise)

Where,

x is called a vector, and it contains the numeric values which are to be used in the pie nautical chart, such as those production figures in the to a higher place case.
labels take a name for those values in X, such every bit the name of chemicals.
The radius argument is for the radius of the circle of the pie chart. Its typical value lies betwixt −ane and +1.
The principal argument can exist used to provide the championship of the chart.
col argument can be used to provide the colors to the nautical chart.
clockwise is a logical value that takes either True or Simulated, indicating if the slices of charts are drawn in a clockwise or anti-clockwise manner.

Note: That X is a mandatory argument, and the rest all are optional.

How to create a pie nautical chart in R?

Now that we understood the syntax of the pie chart likewise permit's build a pie chart. For this, nosotros volition once more use the same example in the introduction section higher up.

First of all, let's convert the example above in the form of a table for easy understanding.

Proper name of chemical	Amount produced (in MT)
AB1	90
AB2	l
AB3	100
AB4	forty
AB5	20
Total	300

Commencement, we use the following ii lines of R lawmaking to catechumen the table above into two vectors, one for the name of the chemical and the other for the volume of the chemical.

Now, we plot a simple pie nautical chart by simply providing the ten value in the syntax above:

chem <- c("AB1″,"AB2″,"AB3″,"AB4″,"AB5")
vol <- c(90,50,100,40,20)
pie(vol)

Its output is the figure beneath:

If you observe the output, it is not very articulate equally to what is represented by what. So to brand information technology more than intuitive, we input a few more arguments in the pie function and run over again.

chem <- c("AB1″,"AB2″,"AB3″,"AB4″,"AB5")
vol <- c(90,50,100,forty,20)
pie(10=vol, labels = chem, radius = one,primary = "Pie chart for chemical production", clockwise = T)

This motion-picture show is improve to understand every bit it contains the name of the chemicals as well as a championship. Please notation the colour scheme in both of these charts is coming by default which nosotros can change every bit per our demand or wish. We will exercise that in the section below.

How to change pie charts and fill colour?

In this section, let's learn how can be a change pie chart.

First, let's testify the number of chemicals in the chart instead of the name of chemicals.

pie(x=vol, labels = vol, radius = 1,chief = "Pie chart for chemical production", clockwise = T)
Run it yourself and come across the output.

Next, lets modify the colour of the charts.

chem <- c("AB1″,"AB2″,"AB3″,"AB4″,"AB5")
vol <- c(ninety,50,100,40,twenty)
pie(x=vol, labels = chem, radius = 1,main = "Pie chart for chemic production", col=c("cherry","bluish","green","black","yellowish"),clockwise = T)

Here we specified the colors that we want. The output is as below:

How to create a 3D pie nautical chart?

In this section, we will learn how to build a 3D pie nautical chart in R. for building a 3d pie nautical chart; we demand to install a library first as it tin can not be done from a basic inbuilt function.

You should install the library plotrix before running the code for the pie chart. To install the library, simply run the following command in R.

Install.packages("plotrix")

Later that, run the following ii lines to get a 3d plot.

chem <- c("AB1″,"AB2″,"AB3″,"AB4″,"AB5")
vol <- c(ninety,l,100,40,20)
library(plotrix)
pie3D(vol,labels = chem,explode = 0.1, main = "Pie Nautical chart for chemicals ")

The output is as below:

Determination

Pie charts are used a lot, and information technology is very intuitive and informative, which I believe is very clear by now. In financial domains and many other sectors too, pie charts are the bones visualization where almost all analysis begins. It is elementary all the same very powerful. In this commodity, we provided enough details which should help anyone start with building pie charts with bang-up confidence and ease. Students and learners are also advised to look into the help carte du jour of R, where they can larn more details and boosted functionalities of pie charts. There is a great visualization package called ggplot2 in R, which provides many customization options to pie charts and all other visualization in general; candidates are brash to look into that too. Finally, if at that place is whatsoever question or further dubiousness, yous can e'er annotate on this article and make it touch for more explanations, examples too equally theoretical discussions.