In this post, we take a look at How to Create Box Plot in R. This plot is often used to make some of the dataset representation specific to the finance and the commerce. Variety of plots can be done with this so you may want to explore this tutorial.
In previous post, I covered how to make the beeswarm plot. And it was a good plot that was kind of fun to make and design for the use. Some of the designs modifications of this type of the plot can be fun to draw and use.
You have to download the RStudio IDE and then you can make use of the variety of options that sui for yourself to plot it out for IDE. There are some really good and interesting settings that can be done you can play around with the plots in this IDE.
I have created a video to give you an overview on How to Create Dot Plot in R. You should give this one a try.
Let's start first.
Our sample data could be as simple as the below code.
input <- mtcars[,c('mpg','cyl')]
print(head(input))
As you can see I am making use of the mtcars package and I am trying to draw the data for this type of the plot.
I assume if things work out properly then we can even take a bit in depth approach for plotting.
Let's first think of plotting it in the image type.
png(file = "boxplot.png")
Now the next thing would be for the plot.
boxplot(mpg ~ cyl, data = mtcars, xlab = "No. of Cylinders",
ylab = "Miles Per Gallon", main = "Mileage Data")
Finally we have to save the data into a file name which we earlier declared.
dev.off()
Make sure to navigate to file explore for the file and then you can open it in the image viewer. So that would be a good option for you to view the above created image there.
That's it. Some of the things that you can manipulate from this point onwards you would be finding pretty good in terms of the data being properly shown. So another thing is that variety of groups and the points where things can be managed there.
I am going to continue this series till the mid of the 2024. I have scheduled and the videos would be drip feed into this system. So some of the times that would be a cool option for anyone to try out. I would say that if things done properly in that case it would be a good for anyone who want such content for education purpose.
If you are into the data analytics and the data science, I am sure you would find this tutorial series useful. Some of the variety of topics that would come out would help you. I have done my share of the topics exploration and made some videos. So if you prefer to subscribe to the channel that would be super helpful.
If you happen to like this content, do give me feedback over there and that would help me improve my efforts in near future.
Thank you for this article. It's a really useful guide that I will surely use soon.
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