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F. Buscha

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Make sure to check out my twitter feed for monthly promo codes and other updates (@easystats3)

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

Enroll now

What's inside

Learning objectives

  • Data visualisation
  • Graphing in stata
  • Basic plot types
  • Intermediate plot types
  • Advanced plot types
  • Distribution plots
  • Relationship plots
  • Categorical plots
  • Specialised plots
  • Stata code
  • Advanced stata code
  • Show more
  • Show less

Syllabus

Introduction
Graphs for single continuous variables
What is continuous data?
What is a histogram?
Read more
What is an unequal bin histogram?
Learn Stata - Histograms
What is a density plot?
How to visualise multiple densities
Learn Stata - Density plots
What is a ridgeline plot?
Learn Stata - Ridgeline plots
What are cumulative density plots?
Learn Stata - Cumulative density plots
What is a spike plot?
Learn Stata - Spike plots
What is a rootogram plot?
Learn Stata - Rootogram plots
What is a box plot?
Learn Stata - Box plots
What is a violin plot?
Learn Stata - Violin plots
What is a stem-and-leaf plot?
Learn Stata - Stem-and-leaf plots
What is a dot plot?
Learn Stata - Dot plots
What is a symmetry plot?
What is a quantile-uniform plot?
What is a quantile-normal plot?
What is a quantile-chi-squared plot?
What is a quantile-quantile plot?
Learn Stata - Quantile plots
Plots for single discrete variables
What is discrete data?
What is a bar graph?
Learn Stata - Bar graphs
What is a pie chart?
Learn Stata - Pie charts
What is a dot chart?
Learn Stata - Dot charts
What is a radar plot?
Learn Stata - Radar plots
Plots for two continuous variables
What is a scatter plot?
Learn Stata - Scatter plots
What is a heat plot?
What is a hex plot?
Learn Stata - Heat and hex plots
What is a sunflower plot?
Learn Stata - Sunflower plots
What is a polar smoother plot?
Learn Stata - Polar smoother plots
What is a line of best fit?
Learn Stata - Line of best fit plots
What is a line plot?
Learn Stata - Line plots
What is an area plot?
Learn Stata - Area plots
What is a range plot?
Learn Stata - Range plots
What is a dropline plot?
Learn Stata - Dropline plots
What is a rainbow plot?
Learn Stata - Rainbow plots
What is a sparkline plot?
Learn Stata - Sparkline plots
Plots for two discrete variables
What is a jitter plot?
Learn Stata - Jitter plots
What is a table plot?
Learn Stata - Table plots
What is a balloon plot?
Learn Stata - Balloon plots
What is a stacked bar chart?
Learn Stata - Stacked bar graphs
What is a mosaic plot?
Learn Stata - Mosaic plots
Plots for three or more variables
What is a contour plot?
Learn Stata - Contour plots
What is a bubble plot?
Learn Stata - Bubble plots
What is a Chernoff Face?
Learn Stata - Chernoff Faces
What is a Triplot?
Learn Stata - Triplots

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds foundational knowledge of data visualization techniques
Provides a comprehensive overview of a range of data visualization concepts
Emphasizes practical application of visualization in Stata
Covers advanced Stata code for more in-depth customization
Requires some familiarity with Stata

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Visualization in Stata with these activities:
Review Stata syntax
Stata is very syntax-heavy. This activity will help students familiarize themselves with it before taking the course.
Browse courses on Syntax
Show steps
  • Go to Stata website and search for syntax help.
  • Read through different syntax examples.
  • Reread through Stata syntax docs you've collected over time.
Introductory graphing in Stata
This activity will review some of the basic graphs in Stata, and may help close any knowledge gaps.
Browse courses on Histograms
Show steps
  • Find an online tutorial on graphing in Stata.
  • Go through the tutorial and follow along with the examples.
  • Try to create a few graphs of your own data.
Graph different types of variables
Practicing graphing data with different characteristics will help students build confidence in choosing the correct graph for the data.
Browse courses on Categorical Variables
Show steps
  • Import a dataset containing different types of variables.
  • Create a graph for each type of variable.
  • Discuss the strengths and weaknesses of each graph.
Two other activities
Expand to see all activities and additional details
Show all five activities
Peer review of graphs
This activity is an opportunity to receive feedback on your graphs from peers, and to provide feedback to others. This will allow for a deeper understanding of graphing principles and best practices.
Browse courses on Data Visualization
Show steps
  • Find a peer who is also taking the course.
  • Create a few graphs to share with your peer.
  • Exchange graphs with your peer and provide feedback on each other's work.
Create a visual data summary
This project will challenge students to apply their graphing skills to create a visually appealing and informative data summary.
Browse courses on Data Storytelling
Show steps
  • Choose a dataset that you are interested in.
  • Create a series of graphs that tell a story about the data.
  • Export your graphs to a presentation or infographic format.

Career center

Learners who complete Data Visualization in Stata will develop knowledge and skills that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analysts play a vital role in making complex data understandable and accessible. This course, which provides comprehensive training in data visualization principles and techniques using Stata, can help you build a strong foundation for success in this role. You'll learn how to create various graphs and plots, including histograms, scatterplots, and bubble charts, to effectively communicate insights from data.
Business Analyst
Business Analysts use data to analyze business processes and identify areas for improvement. This course can provide you with valuable skills in data visualization and interpretation, enabling you to effectively communicate your findings to stakeholders. You'll learn how to create clear and concise graphs and charts that help decision-makers understand complex data.
Data Analyst
Data Analysts collect, clean, and analyze data to extract valuable insights. This course can enhance your data visualization skills, allowing you to effectively present your findings and communicate data-driven insights to inform decision-making. You'll learn how to create compelling graphs and charts that make data more accessible and persuasive.
Market Researcher
Market Researchers conduct surveys and analyze data to understand consumer behavior and market trends. This course can provide you with the skills to visualize and interpret data effectively, enabling you to gain insights into target audiences and develop successful marketing strategies. You'll learn how to create persuasive graphs and charts that present research findings clearly and impactfully.
Financial Analyst
Financial Analysts use data to evaluate investment opportunities and make recommendations. This course can help you build a foundation in data visualization, enabling you to effectively communicate financial data and insights to investors and stakeholders. You'll learn how to create clear and concise graphs and charts that present financial information in a way that facilitates informed decision-making.
Data Scientist
Data Scientists use advanced statistical methods and machine learning to extract insights from data. This course can provide you with a strong foundation in data visualization, allowing you to effectively communicate your findings and collaborate with other data professionals. You'll learn how to create sophisticated graphs and charts that illustrate complex data patterns and relationships.
User Experience (UX) Designer
UX Designers focus on creating user-friendly and intuitive digital products. This course can enhance your understanding of data visualization principles, enabling you to design interfaces that effectively convey information and enhance the user experience. You'll learn how to create clear and visually appealing graphs and charts that guide users through complex data.
Product Manager
Product Managers are responsible for the development and success of products. This course can help you build skills in data visualization, allowing you to effectively communicate product data and insights to stakeholders. You'll learn how to create compelling graphs and charts that demonstrate product performance and user engagement.
Marketing Manager
Marketing Managers develop and execute marketing strategies to promote products or services. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate marketing data and insights to stakeholders. You'll learn how to create clear and impactful graphs and charts that inform decision-making and demonstrate campaign performance.
Sales Manager
Sales Managers lead sales teams and develop strategies to achieve sales targets. This course can provide you with the skills to visualize and interpret sales data effectively, enabling you to identify trends, forecast demand, and improve sales performance. You'll learn how to create clear and actionable graphs and charts that support decision-making and drive sales growth.
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate operational data and insights to stakeholders. You'll learn how to create clear and concise graphs and charts that illustrate operational performance, identify bottlenecks, and drive process improvements.
Project Manager
Project Managers plan, execute, and control projects to achieve specific goals. This course can provide you with the skills to visualize and track project data effectively, enabling you to monitor progress, identify risks, and make informed decisions. You'll learn how to create clear and actionable graphs and charts that support project planning, execution, and evaluation.
Healthcare Analyst
Healthcare Analysts use data to improve healthcare delivery and outcomes. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate healthcare data and insights to stakeholders. You'll learn how to create clear and compelling graphs and charts that illustrate healthcare trends, identify areas for improvement, and drive evidence-based decision-making.
Economist
Economists study the economy and make predictions about its future performance. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate economic data and insights to stakeholders. You'll learn how to create clear and persuasive graphs and charts that illustrate economic trends, identify patterns, and forecast economic outcomes.
Statistician
Statisticians use data to make inferences about the world. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate statistical data and insights to stakeholders. You'll learn how to create clear and accurate graphs and charts that illustrate statistical distributions, test hypotheses, and draw conclusions from data.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Visualization in Stata.
Provides a comprehensive overview of data visualization techniques, with a focus on practical applications. It covers a wide range of topics, from basic concepts to advanced techniques, and includes numerous examples and exercises.
This classic work on data visualization provides a timeless framework for understanding and creating effective visual displays. It covers a wide range of topics, from the basics of visual perception to the design of complex visualizations.
Introduces the ggplot2 package for R, which powerful tool for creating visualizations. It covers a wide range of topics, from basic plots to advanced techniques, and includes numerous examples and exercises.
Provides a comprehensive overview of data visualization techniques using R. It covers a wide range of topics, from basic concepts to advanced techniques, and includes numerous examples and exercises.
Provides a comprehensive overview of data visualization techniques using Stata. It covers a wide range of topics, from the basics of visual perception to the design of complex visualizations.
Provides a comprehensive overview of data visualization techniques using SAS. It covers a wide range of topics, from the basics of visual perception to the design of complex visualizations.
Provides a comprehensive overview of data visualization techniques using Excel. It covers a wide range of topics, from the basics of visual perception to the design of complex visualizations.

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