Category: Graphics

Exploring Categorical Data in GAUSS 25

Categorical data plays a key role in data analysis, offering a structured way to capture qualitative relationships. Before running any models, simply examining the distribution of categorical data can provide valuable insights into underlying patterns. In GAUSS 25, these functions received significant enhancements, making them more powerful and user-friendly. In this post, we’ll explore these improvements and demonstrate their practical applications. Whether summarizing survey responses or exploring demographic trends, fundamental statistical tools, such as frequency counts and tabulations, help reveal these patterns.

Making Your GAUSS Plots More Informative: Working with Legends

In data analysis, a well-designed graph can help clarify your insights but a poorly annotated one can confuse and distract your audience. That’s why proper annotation, including legends, is essential to creating effective graphs. Legends play a crucial role in making graphs more readable by distinguishing between different groups, categories, or data series. A well-placed legend helps ensure that your message comes across clearly. In this blog, we’ll walk through how to add and customize legends in GAUSS graphics.

Introduction to Efficient Creation of Detailed Plots

A few weeks ago, we showed you how to create a detailed plot from a recent article in the American Economic Review. That article contained several plots that contain quite a bit of similar and stylized formatting. Today we will show you how to efficiently create two of these graphs. Our main goals are to get you thinking about code reuse and how it can help you:
  • Get more results from your limited research time.
  • Avoid the frustration that comes from growing mountains of spaghetti code.

Advanced Formatting Techniques for Creating AER Quality Plots

This blog will show you how to reproduce one of the graphs from a paper in the June 2022 issue of the American Economic Review. You will learn how to:
  1. Add and style text boxes with LaTeX.
  2. Set the anchor point of text boxes.
  3. Add and style vertical lines.
  4. Automatically set legend text to use your dataframe’s variable names.
  5. Set the font for all or a subset of the graph text elements.
  6. Set the size of your graph.

Visualizing COVID-19 Panel Data With GAUSS 22

When they’re done right, graphs are a useful tool for telling compelling data stories and supporting data models. However, too often graphs lack the right components to truly enhance understanding. In this blog, we look at how a few quick customizations help make graphs more impactful. In particular, we will consider:
  • Using grid lines without cluttering a graph.
  • Changing tick labels for readability.
  • Using clear axis labels.
  • Marking events and outcomes with lines, bars, and annotations.
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How to Create Tiled Graphs in GAUSS

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 procedure.

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.

How to mix, match and style different graph types

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.

Five Hacks For Creating Custom GAUSS Graphics

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.

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