R Language - How to Use Lattice Package

In this post, we take a look at how to use Lattice Package in R. This is one of the important graphics and data visualization package. The package is inspired by one of the popular graphics package named - tellis.

This post will explain you how you can install the package and how to use it for some of the simple operations that you can do in the data visualization. This package allows you to draw various types of the plots and the charts which can make visualizing data lot easier.

If you have not yet downloaded the RStudio, I'd recommend you to do that. As it would easy to write the code and also view the plots in the window while you are making changes. So it's a pretty handy tool for you to view the plots and charts.

I have created a video to give you an overview on how to use the Lattice Package for the data science work. You should give this one a try.

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The above listed tutorial would help you install the lattice package. And you would also learn how to make some simple plots along the way. So for those people who like the visual instructions then you should check the above video. For those who prefer the text based instructions, the below short tutorial would help you.

Install the Package

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First thing that we are going to do now is installing the package in the discussion which is lattice. This package would help us do the further work that we want to do with the lattice. So do check the below commands for installation and using the package.

install.packages("lattice")
library(lattice)

It should look something like the below image.

There are various dataset available in R that you can use. You can use the famous iris dataset and then use the lattice package for the creating of the charts like histogram etc. Now the toothgrowth is another such package that allows drawing of the plots too.

Let's assume you wish to create the scatter plot. And if I tell you to use the iris dataset for plotting the graph in that case. You can use the following code that would give you a good output for the same.

library(lattice)
xyplot(Sepal.Length ~ Petal.Length,
data = iris)

Now your plot should look something like the below chart. If you can see this that means you have managed to plot the scatterplot easily with the lattice package.

Drawing the scatterplot is just one of the thing that you can do. Some of the time you may want to try out other types of the plots. And doing that won't be easy. Some things just take effort though so based on your data or the sample dataset would be a bit not that easy but can be done.

By now you must have followed some of my good tutorials in the R language. And you have got some idea on doing the data visualization. I am sure if we continue with the python too, in a year or so you would be pretty good with the data analytics and the visualization.

I just finished recording the content upto the next year November 23. I think if I continue like this I would be making the content in advance and that would last upto the year 2024 and maybe 2025. It would just take time on the grand scheme in context of making video content on a regular basis.

Keep tab on my tutorials if you are into data science and wish to learn anything related to science and coding related tutorial.

I hope that you are enjoying some of my R language and data science tutorials. I hope that some of my coverage on this topic would be helpful to you.

If you happen to like this content, do give me feedback over there and that would help me improve my efforts in near future.