Data Visualization in Stata

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Learning and applying new visual techniques can often be a daunting experience. This is especially true if you need to generate and code data visualizations yourself.

This course is designed to provide you with a compact, and easy to understand, set of videos that focus on the basic principles behind many common data visualization and how you can code them in Stata.

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.

This course will teach you many different methods to visualize data and how to generate these yourself in Stata

Visualizing and graphing data is a 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 visualise data is an important aspect in getting data information across to other stakeholders. Many different ways of visualising data have been devised and some are better than other. 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".

Often, it takes years of experience to accumulate knowledge of the different graphs and plots. In these videos, I will outline some of the most important data visualization methods and explain, without any equations or complex statistics, what are the advantages and disadvantages of each technique.

I will also demonstrate how each graph can be created, modified and customised in Stata.

The main learning outcomes are:

1. To learn and understand the basic methods of data visualization

2. To learn, in an easy manner, variations and customisations of basic visualization methods

3. To gain experience of different data visualization techniques and how to apply them

4. To learn and code many Stata graphs

5. To gain confidence in your ability to modify and create bespoke data visualisations in Stata

Please note the following: You should have some understanding of how Stata works and what .do files are. If you are totally new to Stata you should take a look at my "Essential Guide To Stata" course that explains Stata from the ground up. This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.

Specific themes include:

• Histograms

• Density plots

• Spike plots

• Rootograms

• Box plots

• Violin plots

• Stem-and-Leaf plots

• Quantile plots

• Bar graphs

• Pie charts

• Dot charts

• Radar plots

• Scatter plots

• Heat plots

• Hex plots

• Sunflower plots

• Lines of best fit

• Area plots

• Line plots

• Range plots

• Rainbow plots

• Jitter plots

• Table plots

• Baloon plots

• Mosaic plots

• Chernoff faces

• Sparkling plots

• Bubble plots

• and more