Visualizing and graphing data is vital in modern data analytics. Whether you are a data scientist, student of quantitative methods, or a business user, having an understanding of how to visualize data is an important aspect of getting data information across to other stakeholders. Many ways of visualizing data have been devised and some are better than others. However, each method has advantages and disadvantages, and having a solid understanding of what visualization might be best suited is key to delivering a concise and sharp “data message”.
In this course, you will learn some of the most important data visualization methods. The author will also explain, without any equations or complex statistics, what are the advantages and disadvantages of each technique.
You will be shown how each graph can be created, modified, and customized in Stata throughout the course’s journey.
This course will help you learn and understand the basic methods of data visualization. You will also learn, in an easy manner, variations and customizations of basic visualization methods. You will gain experience with different data visualization techniques and how to apply them. After understanding the techniques, you will learn and code many Stata graphs. Finally, you will gain confidence in your ability to modify and create bespoke data visualizations in Stata.
By the end of this course, you will learn many different methods to visualize data and how to generate these yourself in Stata.
All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Data-Visualization-in-Stata
Learn the basics of data visualization
Look at graphing in Stata and understand basic plot types
Explore intermediate and advanced plot types
Learn about the distribution and relationship plots
Explore the world of categorical and specialized plots
Expand your knowledge on basic to advanced Stata codes
The course is modular; just click on the graphs that you are most interested in and learn away. You do not need to follow this course linearly.
Economists, social scientists, political scientists, biostatisticians, and other disciplines will also benefit from this course.
Basic Stata knowledge along with some basic Stata coding (.do files, commands, varlists, and options) is an essential requirement to extract the most out of this course.
This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.