Data Analysis with STATA by Prasad Kothari

By Prasad Kothari

Explore the massive information box and the best way to practice information analytics and predictive modelling in STATA

About This Book

  • Visualize and examine info in STATA to plan a company strategy
  • Learn STATA programming and predictive modeling
  • Discover how one can develop into an information scientist with the facility of STATA

Who This e-book Is For

This e-book is for the entire pros and scholars who are looking to research STATA programming and follow predictive modelling recommendations. This booklet can also be very priceless for knowledgeable STATA programmers because it offers complex statistical modelling innovations and their application.

What you'll Learn

  • Perform vital statistical checks to turn into a STATA facts scientist
  • Be guided via easy methods to application in STATA
  • Implement logistic and linear regression models
  • Visualize and software the knowledge in STATA
  • Analyse survey facts, time sequence info, and survival data
  • Perform database administration in STATA

In Detail

STATA is an built-in software program package deal that gives you with every thing you would like for info research, facts administration, and photos. STATA additionally will give you a platform to successfully practice simulation, regression research (linear and a number of) [and customized programming.

This publication covers facts administration, graphs visualization, and programming in STATA. beginning with an creation to STATA and knowledge analytics you are going to flow directly to STATA programming and information administration. subsequent, the e-book takes you thru info visualization and the entire very important statistical exams in STATA. Linear and logistic regression in STATA can also be covered.

As you move throughout the publication, you are going to discover a number of analyses, together with the survey research, time sequence research, and survival research in STATA. you are going to additionally observe types of statistical modelling concepts and easy methods to enforce those recommendations in STATA.

Style and approach

This booklet is a hands-onguide to STATA programming and statistical modelling offering many STATA code examples and taking. you thru the operating of the code in detail.

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Extra info for Data Analysis with STATA

Sample text

The loop goes on until the list of elements is exhausted. You can also write a loop where you involve lots of variables as a part of the loop. Now, you can run the regression in a loop with all the variables that can be dependent and independent variables. Foreach ball_size in ten twenty thrity [ Reg 'ball_size' color weight ] You can also rename the variables in the loop for which you might have to write a big program otherwise. For example, look at the following: Foreach ball_size of varlist * [ local new_name = lower (" 'old_name' ") Rename 'old_name' 'new_name' ] [ 32 ] Chapter 2 You can also write a loop irrespective of the variable values that run for a definite amount of loops.

This difference remains in Stata as well. Most of the macros in Stata are local macros and are written for specific commands or functions that can be reused for many occasions. For example, take a look at the following command: local macro_Name table For example: local Y 9 In this command or macro, the name of the macro is Y and 9 is the denotation of the table. Another example can be as follows: display "Y" On a general note, all the macros are processed by the macro processor. The macro processor properly feeds the macros to Stata.

One option is to save the current data and revise it, and later, if you don't want to keep the data, then reopen the saved data version. Another option is to use the preserve and restore functions/ commands; they will take an image of the data, and the data will come back after you type restore. [ 15 ] Introduction to Stata and Data Analytics Summary We discussed lots of basic commands, which can be leveraged while performing Stata programming. The next chapter will discuss data management techniques and programming in detail.

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