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A Visual Guide to Stata Graphics. Article (PDF Available) in Journal of statistical software 12(b02) · April with 1, Reads. DOI: /rockghotreamenla.gq University of Washington. A Visual Guide to Stata Graphics. Michael N. Mitchell. Stata Press, College Station, TX, ISBN By Michael N. Mitchell; Abstract: A Visual Guide to Stata Graphics gives you a detailed rockghotreamenla.gq downloadable preface.

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A Visual Guide to Stata Graphics gives you a detailed guide to Stata's graphics capabilities in an easy-to-use format. From beginning to end, author Michael. A Visual Guide to Stata Graphics, Third Edition Michael N. Mitchell Publisher: Stata Press Release Date: Whether you are new to Stata. An essential introduction and reference for Stata graphics. New in this edition are treatments of contour plots, margins plots, and font handling.

Mitchell dedicates a new subsection to contour plots—showing you how to control the number of levels, the colors used, and how to produce effective legends. Over 30 graphs are used to demonstrate what you can accomplish with the new marginsplot command—graphs of estimated means and marginal means with confidence intervals , interaction graphs, comparisons of groups, and more. Mitchell also adds a section showing you how to get bold text, italic text, subscripts, superscripts, and Greek letters into your titles, axis, labels, and other text. The book retains its visual style, presenting the reader with a color-coded, visual table of contents that runs along the right edge of every page and shows readers exactly where they are in the book. You can see the color-coded chapter tabs without opening the book, providing quick visual access to each chapter. The heart of each chapter is a series of entries that are typically formatted three to a page. Each entry shows a graph command with the emphasized portion of the command highlighted in red , the resulting graph, a description of what is being done, the dataset and scheme used, and a section showing how to produce the result by using the Graph Editor. Because every feature, option, and edit is demonstrated with a graph or screen capture, you can often flip through a section of the book to find exactly the effect you are seeking. The first chapter discusses how to use the book, the types of Stata graphs, how to use schemes to control the overall appearance of graphs, and how to use options to make specific modifications. It also outlines a process for building graphs using the graph command. The second chapter is a complete overview of the Graph Editor. It includes over color graphics and screen captures to show exactly how things are done and exactly how they look on the graph. With pictures and words, Mitchell shows you how to change the color, size, or placement of any titles, markers, annotations, or other objects on your graph by using just a few mouse clicks. More subtly, he shows you how to change things such as the number of ticks and labels on your axes, the number of columns in your legends, the label on an individual point, and more.

The third edition retains all the features that made the first two editions so useful:. New in this edition are treatments of contour plots, margins plots, and font handling.

Mitchell dedicates a new subsection to contour plots, showing you how to control the number of levels, how to change the colors used, and how to produce effective legends. Over 30 graphs are used to demonstrate what you can accomplish with the new marginsplot command—graphs of estimated means and marginal means with confidence intervals , interaction graphs, comparisons of groups, and more. Mitchell also adds a section that shows you how to get bold text, italic text, subscripts, superscripts, and Greek letters into your titles, axes, labels, and other text.

The book retains its visual style, presenting the reader with a color-coded, visual table of contents that runs along the right edge of every page and shows readers exactly where they are in the book.

You can see the color-coded chapter tabs without opening the book, providing quick visual access to each chapter.

The heart of each chapter is a series of entries that are typically formatted three to a page. Each entry shows a graph command with the emphasized portion of the command highlighted in red , the resulting graph, a description of what is being done, the dataset and scheme used, and a section showing how to produce the result by using the Graph Editor.

Because every feature, option, and edit is demonstrated with a graph or screen capture, you can often flip through a section of the book to find exactly the effect you are seeking.

The first chapter details how to use the book, the types of Stata graphs, how to use schemes to control the overall appearance of graphs, and how to use options to make specific modifications. It also outlines a process for building graphs with the graph command. The second chapter is a complete overview of the Graph Editor. It includes over color graphics and screen captures to show exactly how things are done and how they look on the graph.

With pictures and words, Mitchell shows how to change the color, size, or placement of any titles, markers, annotations, or other objects on your graph by using just a few mouse clicks. More subtly, he shows how to change things such as the number of ticks and labels on your axes, the number of columns in your legends, the label on an individual point, and more. He even shows how to convert, for example, a scatterplot to a line plot and how to rotate or pivot bar charts.

Mitchell also covers advanced topics such as how to draw lines and arrows on graphs so that they continue to reference your objects of interest even if you resize the graph, combine it with other graphs, or change the scale or range of the axes.

Mitchell does not stop there; almost every example in the book shows you how to accomplish the desired graph or effect not only by using a command or command-line option but also by using the Graph Editor.

Whereas commands offer the power of repeatability, the Graph Editor provides a nimble interface that permits you to tangibly modify graphs like a potter directly handling clay.

In the third chapter, Mitchell discusses twoway graphs such as scatterplots, line plots, area plots, bar plots, range plots, contour plots, regression fits, and smooths. He shows how to create each of these types of graphs and how to use options and the Graph Editor to control how the graph looks.

He also introduces graphing across groups of data and options for adding and controlling titles, notes, legends, and so forth. Beyond the basics, he shows how to easily overlay plots to obtain graphs such as regression fits with error contours and observed data scatters, local polynomial smooths with scatters of their underlying data, stock market—style graphs of open and closed values with quantities traded as a bar chart at the bottom, histograms with density smooths, and more.

If you are in a hurry to discover one special option, you can skim the chapter until you see the effect you want, and then glance at the command to see what is highlighted in red. In the succeeding five chapters, Mitchell covers scatterplot matrices, bar graphs, box plots, dot plots, and pie charts.

In chapters 9 and 10, Mitchell undertakes an in-depth presentation of the options available across almost all graph types—options that add and change the look of titles, notes, and such; control the number of ticks on axes; control the content and appearance of the numbers and labels on axes; control legends; add and change the look of annotations; graph over subgroups; change the look of markers and their labels; apply schemes to control the look of the graph; change the look of graph regions; size graphs and their elements; and more.

Again he shows how to make these changes both by using options and by using the Graph Editor. To complete the graphical journey, Mitchell discusses and demonstrates the 12 styles that unite and control the appearance of the myriad graph objects. These styles are angles, colors, clock positions, compass directions, connecting points, line patterns, line widths, margins, marker sizes, orientations, marker symbols, and text sizes.

There, Mitchell first gives a quick overview of the dozens of statistical graph commands that are not strictly the subject of the book. Upcoming SlideShare. Like this document? Why not share! How do-test-cases-differ-from-test Embed Size px.

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No Downloads. Views Total views. Actions Shares. It includes over color graphics and screen captures to show exactly how things are done and exactly how they look on the graph.

With pictures and words, Mitchell shows you how to change the color, size, or placement of any titles, markers, annotations, or other objects on your graph by using just a few mouse clicks. More subtly, he shows you how to change things such as the number of ticks and labels on your axes, the number of columns in your legends, the label on an individual point, and more. He even shows you how to convert, for example, a scatterplot to a line plot and how to rotate or pivot bar charts.

Mitchell also covers advanced topics such as how to draw lines and arrows on graphs so that they continue to reference your objects of interest even if you resize the graph, combine it with other graphs, or change the scale or range of the axes. Mitchell does not stop there; almost every example in the book shows you how to accomplish the desired graph or effect not only by using a command or command-line option but also by using the Graph Editor.

Just look for the editor icon symbol to learn how to produce the displayed result with the Editor.

Of the Graph Editor, the author writes, [ Whereas commands offer the power of repeatability, the Graph Editor provides a nimble interface that permits you to tangibly modify graphs like a potter directly handling clay. Mitchell advisedly spends the most time in his next chapter, which is about twoway graphs such as scatterplots, line plots, area plots, bar plots, range plots, contour plots, regression fits, and smooths.

Mitchell shows how to create each of these types of graphs and how to use options and the Graph Editor to control how the graph looks. He also introduces graphing across groups of data; and options for adding and controlling titles, notes, legends, and so forth.

Beyond the basics, he shows how to easily overlay plots to obtain graphs such as regression fits with error contours and observed data scatters, local polynomial smooths with scatters of their underlying data, stock market-style graphs of open and closed values with quantities traded as a bar chart at the bottom, histograms with density smooths, and more. After reading this chapter, you will have a thorough grasp of how to create graphs in Stata.

Or, if you are in a hurry to discover one special option, you can skim the chapter until you see the effect you want, then glance at the command to see what is highlighted in red.