ezplot: How to Easily Make ggplot2 Graphics for Data Analysis
ezplot: How to Easily Make ggplot2 Graphics for Data Analysis
About the Book
Six years ago, I started a data science consulting company. Almost all my projects require some kind of data visualization. Because I'm a R programmer, ggplot2 became my primary charting tool. The thing about ggplot2 is that making a generic plot is easy, but customizing is hard. There're just too much details to remember. At first, I did a lot of code recycling, but that was still very inefficient as I had to manually change things to make old code work with new data. As the repertoire of reusable codebase grew, it became painful to find the right piece of code for the things I wanted to do. Moreover, code recycling lead to code repetition, which made my R script lengthy and difficult to read. One day, the frustration became unbearable, and I decided to change it all. The result is ezplot, a R package based off ggplot2. It's available on github. Ezplot has saved me tons of hours. A plot that used to takes me 30+ minutes now takes me less than 1 minute. I now use ezplot for all my projects. I truly love it, and I think you’ll love it too.
This book teaches you how to use ezplot step by step with many examples. Start reading FREE sample chapters now.
- Set up
Plot the Distribution of a Continuous Variable
- Density Plot
- CDF Plot
- Q-Q Plot
- Check if observed data follow the exponential distribution.
- Check if observed data follow the normal distribution.
- Check if observed data follow the lognormal distribution.
- Check if observed data follow the pareto distribution.
Plot the Distribution of a Categorical Variable
- Regular Bar Chart
- Dodged or Stacked Bar Chart
- Horizontal Bar Chart & Lollipop Plot
- Likert Chart
Plot the Relationship of Two or More Variables
- Scatter Plot
- Line Plot
- Dumbbell Plot
- Web Display
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