Understanding Marplotry: A Guide to Combining Multiple Plots on a Single Graph

Marplotry is a term used in the context of plotting and charting to describe a type of chart that combines two or more plots on a single graph. The word "marplotry" is derived from the words "marplot" and "try", where "marplot" refers to a plot or chart, and "try" refers to the act of attempting or trying something out.

In essence, marplotry is the practice of combining multiple plots on a single graph to visualize and explore the relationships between different data sets. This technique can be useful in a variety of fields, including scientific research, business analysis, and data journalism, where it is often used to compare and contrast different datasets, identify patterns and trends, and communicate complex data insights to audiences.

Some common types of marplotry include:

1. Scatter plots with multiple datasets: This type of marplotry involves plotting multiple scatter plots on a single graph, each representing a different dataset.
2. Bar charts with multiple datasets: In this type of marplotry, multiple bar charts are plotted on a single graph, each representing a different dataset.
3. Line charts with multiple datasets: This type of marplotry involves plotting multiple line charts on a single graph, each representing a different dataset.
4. Heat maps with multiple datasets: This type of marplotry involves creating a heat map that combines multiple datasets to visualize the relationships between different data sets.

Overall, marplotry is a powerful technique for exploring and visualizing complex data insights, and can be used in a variety of contexts to communicate important findings to audiences.