![two variable histogram maker two variable histogram maker](https://46gyn61z4i0t1u1pnq2bbk2e-wpengine.netdna-ssl.com/wp-content/uploads/2018/11/histogram-7.png)
The “base R” method to create an R density plotīefore we get started, let’s load a few packages: I’ll explain a little more about why later, but I want to tell you my preference so you don’t just stop with the “base R” method. I want to tell you up front: I strongly prefer the ggplot2 method.
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In this post, I’ll show you how to create a density plot using “base R,” and I’ll also show you how to create a density plot using the ggplot2 system. There’s more than one way to create a density plot in R. That’s the case with the density plot too. For just about any task, there is more than one function or method that can get it done. Two ways to make a density plot in Rįor better or for worse, there’s typically more than one way to do things in R. Let’s take a look at how to make a density plot in R. It’s a technique that you should know and master.
![two variable histogram maker two variable histogram maker](https://46gyn61z4i0t1u1pnq2bbk2e-wpengine.netdna-ssl.com/wp-content/uploads/2018/11/histogram-483x334.png)
Ultimately, the shape of a density plot is very similar to a histogram of the same data, but the interpretation will be a little different.Įither way, much like the histogram, the density plot is a tool that you will need when you visualize and explore your data. In a histogram, the height of bar corresponds to the number of observations in that particular “bin.” However, in the density plot, the height of the plot at a given x-value corresponds to the “density” of the data. Like the histogram, it generally shows the “shape” of a particular variable.īut there are differences. If you’re not familiar with the density plot, it’s actually a relative of the histogram. The density plot is a basic tool in your data science toolkit.
![two variable histogram maker two variable histogram maker](https://www.add-ins.com/histogram-chart-from-data.png)
One of the techniques you will need to know is the density plot. But you need to realize how important it is to know and master “foundational” techniques. That isn’t to discourage you from entering the field (data science is great). Of course, everyone wants to focus on machine learning and advanced techniques, but the reality is that a lot of the work of many data scientists is a little more mundane. For many data scientists and data analytics professionals, as much as 80% of their work is data wrangling and exploratory data analysis.