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  • Book Overview & Buying Data Analysis with STATA
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Data Analysis with STATA

Data Analysis with STATA

By : Prasad Kothari
2.2 (5)
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Data Analysis with STATA

Data Analysis with STATA

2.2 (5)
By: Prasad Kothari

Overview of this book

STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming. This book covers data management, graphs visualization, and programming in STATA. Starting with an introduction to STATA and data analytics you’ll move on to STATA programming and data management. Next, the book takes you through data visualization and all the important statistical tests in STATA. Linear and logistic regression in STATA is also covered. As you progress through the book, you will explore a few analyses, including the survey analysis, time series analysis, and survival analysis in STATA. You’ll also discover different types of statistical modelling techniques and learn how to implement these techniques in STATA.
Table of Contents (11 chapters)
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10
Index

Line plots


Line plots follow a methodology similar to that of scatter plots. The difference is that you need to select the Line type of graph from the window shown in the following screenshot:

The output is shown as follows:

You can also sort the graph on the variable that is input to the X axis. The procedure to sort the graph by the X axis variable in order to find better patterns is shown as follows:

Here is the output, which looks drastically different from the first graph and shows you completely different patterns:

You can also change the line properties of the line graph shown in the preceding screenshot:

  1. Click on Line properties and select the Pattern option.

  2. Select Dash from the list of drop-down options for the pattern box.

    Here are a few screenshots that show you how to perform this operation:

    Here is how the graph is prepared:

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Data Analysis with STATA
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