NC120

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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 user-written graph commands and useful data management tools.

Next class:

Oct 10, 2019

to

Nov 21, 2019

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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 y-axis 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 built-in 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 pixel-based formats

    • Exporting graphs in vector-based formats

Course pre-requisites

  • Stata 15 installed and working.

  • Basic knowledge of using Stata interactively

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

Australia

+61 2 6247 0177

sales@surveydesign.com.au

Survey Design and Analysis Services Pty Ltd

ABN 37 051 831 826

PO Box 5044

LYNEHAM ACT 2602

AUSTRALIA

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New Zealand

+64 9 889 2231

sales@surveydesign.co.nz

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