Placing graphs next to each other can be a great way to present information and improve data visualization. Today we will learn how to create tiled graphs in GAUSS with the easy-to-use plotLayout
We will work through two simple examples where you will learn:
- How to created tiled layouts which are uniform and layouts with graphs of different sizes.
- Which graph types can be used with plotLayout.
- How to clear your tiled graph layouts.
Learn how to create reusable graphics profiles with a few clicks of your mouse.
Often times we need to mix multiple graph types in order to create a plot which most effectively tells the story of our data. In this post, we will create a plot of the Phillips Curve in the United States over two separate time periods. We will show how to add scatter points and lines as well as data series’ of different lengths to a single plot. However, our main focus will be showing you how to control the styling of all aspects of the plot in these cases.
GAUSS includes a plethora of tools for creating publication-quality graphics. Unfortunately, many people fail to use these tools to their full potential. Today we unlock five advanced GAUSS hacks for building beautiful graphics:
- Using HSL, and Colorbrewer color palettes.
- Controlling graph exports.
- Changing the plot canvas size.
- Annotating graphs with shapes, text boxes, and lines.
- Using LaTeX for GAUSS legends, labels and text boxes.
Last week we learned how to use the `date` keyword
to load dates into GAUSS. Today, we extend our analysis of time series data to plot high-frequency Forex data.