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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics FREE CHAPTER 2. Stata Programming and Data Management 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

The labeling of data, variables, and variable transformations

Stata is easy to use and gives you the leverage point of labeling different variables in the data you have acquired/imported. It also allows you to:

  • Label the dataset itself
  • Label different value signs in the imported dataset
  • Label various variables in the imported dataset

For example, let's assume that we have a dataset with no labels. The name of the dataset/filename is Fridge_sales.

You can leverage Stata functions and commands and do not have to write code from the beginning.

To get details of the current dataset (Fridge_sales), type the following command in Stata:

describe

Here is the output of this command:

The labeling of data, variables, and variable transformations

Now, you can leverage a command called label data so that you can add the label that can describe the dataset in detail. The label of the dataset can have a maximum length of 80 characters. To label the data, use the following command:

label data "This dataset has fridge sales data from year 2000"

As discussed...

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