# Visualize Univariate Data – Histogram plot in R

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In R, a histogram is a useful tool for visualizing univariate data, or data that has only one variable. A histogram is a graph that shows the distribution of the data by dividing it into bins and counting the number of data points that fall into each bin. It allows to visualize the shape of the distribution of the data, to identify any potential outliers or skewness and to check the distribution of the data.

To create a histogram in R, you can use the hist() function. This function takes a vector of values as an argument and returns a histogram of the data. You can also customize the appearance of the plot by adding additional arguments to the function, such as the number of bins to use or the color of the bars.

For example, if you have a variable called “var1” in your dataset, you can create a histogram of the data by using the command hist(var1)

You can also use the ggplot2 library in R to create a histogram. ggplot2 is a powerful data visualization package that provides a lot of customization options for creating histograms.

For example, if you have a variable called “var1” in your dataset, you can create a histogram of the data by using the command ggplot(data, aes(x=var1)) + geom_histogram()

In summary, In R, a histogram is a useful tool for visualizing univariate data, or data that has only one variable. A histogram is a graph that shows the distribution of the data by dividing it into bins and counting the number of data points that fall into each bin. It allows to visualize the shape of the distribution of the data, to identify any potential outliers or skewness and to check the distribution of the data. To create a histogram in R, you can use the hist() function, which takes a vector of values as an argument and returns a histogram of the data. You can also customize the appearance of the plot by adding additional arguments to the function, such as the number of bins to use or the color of the bars. Alternatively, you can use the ggplot2 library in R to create a histogram, which is a powerful data visualization package that provides a lot of customization options for creating histograms.

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Visualize Univariate Data – Histogram plot in R.

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