Graphs and Graphical Representation in Stata

Course Content

This was a two day hands-on training workshop led by Professor Vernon Gayle, University of Edinburgh.

"A picture paints a thousand words!" In Professor Gayle's experience, with the exception of weighting, graphing data is one of the most troublesome aspects of data analysis. This materials provided for this course are used during a practical workshop in which participants learn more about graphs and the graphical presentation of data and results. There are a wide range of social science examples that demonstrate how to get more from the graphical and presentational features of Stata. The workshop assists participants produce better quality graphs in their research outputs.

Course objectives

  • To teach participants about the graphical facilities available in Stata and how to make the most of what is available
  • To better facilitate the production of graphs that are suitable for research publications and  doctoral theses

Topics covered in this course include:

  • Stata Graph Theory
  • The Stata .do File
  • Simple Graphs
    • Box Graph
    • Pie Chart
    • Bar Graph
    • Histogram
  • Naming and Combining Graphs
  • Saving Graphs
  • Examples Using Stata
    • Two-way Scatter Plot
    • Axes and Legends
    • Labelling Points
    • Symbol Styles
    • Titles and Captions
    • Markers
    • Jitter
    • Graph Schemes
    • Line Plots
  • Advanced Examples Using Stata
    • Introduction to Collecting Results
    • Preliminary Issues
    • Data from Spreadsheets
    • Statsby
    • Collapse
    • Contract
    • Overlays
    • Model Outputs
    • Parmest
    • Matrix
    • Graphing regression coefficients

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