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Data Analysis with STATA

Data Analysis with STATA

By : Kothari
2.2 (5)
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Data Analysis with STATA

Data Analysis with STATA

2.2 (5)
By: 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

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:

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 previously in...

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