8/15/2023 0 Comments Xline stata color![]() ![]() The documentation can be your best ally if you end up using it. Remember to check the Stata documentation when creating graphs. Graphs are only able to tell a story if we choose them appropriately and customize them as necessary. However, the most valuable take-away from this module is understanding when to use a specific type of graph. We have learned in this module how to create different types of graphs using the command twoway and how to adjust them with the multiple options which come with this command. For example, we can change its color and pattern using the options lcolor lpattern(). The line can also have different characteristics. To include the indicator line we use the the option xline(). Add an indicator line for the year treatment began in 2002.To include the legend, we use the option legend( label(number_of_label "label")). Run the code cell below to view the colorstyle options available in Stata. Just don’t forget to save your graph when you are done since this won’t be in your do-file! You can also adjust many of these aspecs in the Graph Editor that appears wheneve you create a new graph. While we won’t cover each of these in this module, you can always go back to the Stata documentation to explore the options available to you based on your needs. Namely, we can include and adjust the following: In order to customize our graph further, we can use the tools in the Stata graph window or the graph option commands we have been using in this module. svg files cannot be used with LaTeX PDF output. This may be particularly helpful if you plan to use LaTeX for writing your paper, as. However, you should keep in mind that you can also export graphs in other formats such as. So far, we have been exporting our graphs in svg format. We begin by generating a new variable for log earnings. Let’s say we want to plot the log-earnings by year using our fake data set. This plot works well when we are interested in showing relationships and groupings among variables from relatively large data sets. Scatter plots are frequently used to demonstrate how two quantitative variables are related to one another. Try to answer these questions: Who is our audience? What is the question you’re trying to answer? 9.1 Types of graphs 9.1.1 Scatter plot Before creating any graphs, be sure to identify the message you want the graph to convey. Instead, the challenge is figuring out which graph will do the best job at telling your empirical story. The real challenge is not understanding how to use Stata to create graphs. It can be a powerful medium to motivate your research, illustrate relationships between variables and provide some intuition behind why you applied certain econometric methods. Data visualization is an effective way of communicating ideas to your audience, whether it’s for an academic paper or a business setting. ![]()
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