Video description
It takes years of experience to accumulate knowledge of the different graphs and plots. This knowledge and visualizing experiences are packed in modular form; be a part of it.
About This Video
 Learn basic methods of data visualization, variations, and customizations of visualization methods
 Gain experience of different data visualization techniques and how to apply them
 Implement code files along with bitesized videos in a modular and easytouse approach
In Detail
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.
Audience
This course is ideally for Stata users, data analysts, data scientists, quantitative degree students, and quantitative business users that have a flair to explore this arena.
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.
Publisher resources
Table of contents
 Chapter 1 : Introduction to the Course

Chapter 2 : Graphs for Single Continuous Variables
 Introduction to Continuous Data
 What is a Histogram?
 What is an Unequal Bin Histogram?
 Learn Stata  Histograms
 What is a Density Plot?
 How to Visualize 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 â Violin Plots
 What is a StemandLeaf Plot?
 Learn Stata  StemandLeaf Plots
 What is a Dot Plot?
 Learn Stata  Dot plots
 What is a Symmetry Plot?
 What is a QuantileUniform Plot?
 What is a QuantileNormal Plot?
 What is a QuantileChiSquared Plot?
 What is a QuantileQuantile Plot?
 Learn Stata  Quantile plots
 Chapter 3 : Plots for Single Discrete Variables

Chapter 4 : 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
 Chapter 5 : Plots for Two Discrete Variables
 Chapter 6 : Plots for Three or More Variables
Product information
 Title: Data Visualization in Stata
 Author(s):
 Release date: March 2022
 Publisher(s): Packt Publishing
 ISBN: 9781803232300
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