If you’ve worked with real-world data, you know that data cleaning and management can eat up your time. Efficiently tackling tedious data cleaning, organization, and management tasks can have a huge impact on productivity.
We created the **GAUSS Data Management Guide** with that exact goal in mind. It’s aimed to help you save time and make the most of your data.
Today’s blog looks at what the GAUSS Data Management Guide offers and how to best use the guide.
The GAUSS FRED database integration, introduced in GAUSS 23, is a time-saving feature that allows you to import FRED data directly into GAUSS. This means you have thousands of datasets at your fingertips without ever leaving GAUSS. These tools also ensure that FRED data is imported directly into a GAUSS dataframe format, which can eliminate hours of data cleaning and the headaches that come with it.
In today’s blog, we will learn how to use the FRED import tools to:
Search for a FRED data series.
Import FRED data to GAUSS, including merging multiple series.
Use advanced import tools to perform data transformations.
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.
Our new Introduction to GAUSS for Stata Users offers a guide for Stata Users who are looking to get started quickly in GAUSS. It offers side-by-side comparisons of essential analysis tasks in GAUSS and Stata.
GAUSS procedures are user-defined functions that allow you to combine a sequence of commands to perform desired tasks. In this blog, you will learn the fundamentals of creating and using procedures in GAUSS.
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 packages provide access to powerful tools for performing data analysis. This guide covers all you need to know to get the most from GAUSS packages including:
Learn how to work with matrices, the building block of the GAUSS programming language, in this third video in our GAUSS Basics series. Today we will explore how to:
This is the first video in our new GAUSS Basics series. This series is designed to teach you everything you need to know to be productive with GAUSS. This video covers interactive commands and is designed to be your first step in GAUSS!
