NC120

Statistical Graphics Using Stata
Learn how to communicate your data with Stata's powerful graphics features. This course will introduce different kinds of graphs and demonstrate how to use them for exploratory data analysis. Topics include how to use graphs to check model assumptions; how to format, save, and export your graphs for publication using the Graph Editor; how to create custom graph schemes; how to create complex graphs by layering and combining multiple graphs; how to use margins and marginsplot; and more. Bonus material includes information on userwritten graph commands and useful data management tools.
Next class:
Jan 9, 2020
to
Feb 20, 2020
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Lesson 1: Getting to know your data using graphs

Introduction

Why graphs are an important tool for exploratory data analysis

Data management tools for graphing data

The example dataset


How to create and edit basic graphs using Stata

How to create and edit graphs with dialog boxes

How to edit graphs with the Graph Editor

How to create and edit graphs with commands


Some basic graphs

Graphs for one continuous variable

Graphs for one categorical variable

Graphs for two continuous variables

Graphs for two categorical variables

Graphs for one continuous and one categorical variable

Graphs for many variables


Storing, saving, and exporting graphs

Storing graphs in memory

Saving graphs to disk

Exporting graphs in .png format


Automating the process: Looping and saving
Lesson 2: Understanding your results using graphs

Introduction

Why graphs are an important tool for exploratory data analysis

Data management tools for graphing data

The example dataset


How to create and edit basic graphs using Stata

How to create and edit graphs with dialog boxes

How to edit graphs with the Graph Editor

How to create and edit graphs with commands


Some basic graphs

Graphs for one continuous variable

Graphs for one categorical variable

Graphs for two continuous variables

Graphs for two categorical variables

Graphs for one continuous and one categorical variable

Graphs for many variables


Storing, saving, and exporting graphs

Storing graphs in memory

Saving graphs to disk

Exporting graphs in .png format


Automating the process: Looping and saving
Lesson 3: Formatting graphs for publication

Introduction

Formatting titles, legends, and text boxes

Formatting titles

Formatting legends

Adding text boxes

Using italics, bold, superscripts, and subscripts

Using specialty characters

Using different fonts

Formatting numbers


Formatting axes, axis labels, ticks, gridlines, graph, and plot regions

Formatting categorical axis labels

Formatting the x and y axes

Formatting the x and yaxis labels

Formatting major and minor ticks and gridlines

Adding reference lines

Formatting the graph and plot regions


Controlling the aspect ratio and size of graphs

Using schemes to change the overall look of graphs

Using builtin schemes

Defining your own schemes


Recording and saving edits in the Graph Editor
Lesson 4: Advanced graphs: How to layer and combine multiple graphs

Introduction

Layering multiple graphs with the graph twoway command

Basic layered graphs with one y axis

Advanced layered graphs with one y axis

Basic layered graphs with two y axes

Advanced layered graphs with two y axes


Layering multiple graphs with the addplot() option

Basic

Advanced


Creating multiple graphs with the by() option

Combining different graphs with the graph combine command

Basics: Making a table of separate graphs

Advanced: Making a single complex graph from separate graphs


Exporting graphs for publication

Exporting graphs in pixelbased formats

Exporting graphs in vectorbased formats

Course prerequisites

Stata 15 installed and working.

Basic knowledge of using Stata interactively

Internet web browser, installed and working
(course is platform independent)