Download Data Analysis with STATA by Prasad Kothari PDF

By Prasad Kothari

Explore the massive info box and methods to practice facts analytics and predictive modelling in STATA

About This Book

  • Visualize and examine info in STATA to plot a enterprise strategy
  • Learn STATA programming and predictive modeling
  • Discover how one can develop into a knowledge scientist with the ability of STATA

Who This e-book Is For

This e-book is for the entire execs and scholars who are looking to research STATA programming and follow predictive modelling suggestions. This booklet can be very important for knowledgeable STATA programmers because it offers complicated statistical modelling recommendations and their application.

What you'll Learn

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

In Detail

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

This ebook covers information administration, graphs visualization, and programming in STATA. beginning with an creation to STATA and information analytics you are going to stream directly to STATA programming and knowledge administration. subsequent, the ebook takes you thru facts visualization and the entire very important statistical checks in STATA. Linear and logistic regression in STATA is usually covered.

As you move during the booklet, you'll discover a number of analyses, together with the survey research, time sequence research, and survival research in STATA. you are going to additionally notice varieties of statistical modelling options and how one can enforce those recommendations in STATA.

Style and approach

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

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Additional info for Data Analysis with STATA

Example text

For this, you can use the tabulate command: tabulate volume The output of this command is as follows: What happens when you convert the volume by applying conditions to the variable? For example, look at the following: generate volume3 = . ) Keep: Many times, you do not need all the variables in the dataset. Let's take the example of the Fridge_sales data that we discussed previously. Here is snapshot of the overall dataset: describe [ 22 ] Chapter 2 The output of this command is as follows: Now, you may want to keep only the first three variables, that is, model, cost, and weight.

Here is the Stata code for this: collapse cost, by(model) list collapse (mean) average=cost, by(model) list Here are the results: collapse (mean) avgcost=age avgvolume=volume, by(model) list Appending and merging the files for data management Now, let's discuss how to work with more than one file. We will create two data files and combine them in different ways. [ 25 ] Stata Programming and Data Management Let's create the first data file in Stata: input fridge_model_id str10 model cost 1 "model 1" 12000 2 "model 2" 20000 3 "model 3" 40000 End Save fridge_model, replace List Let's create the second dataset: Clear Input fridge_model_id str10 model cost 1 "model 4" 42000 2 "model 5" 52000 3 "model 6" 62000 End Save fridge_model2, replace List [ 26 ] Chapter 2 Now, let's append the two files we created: use fridge_model, clear append using fridge_model2 [ 27 ] Stata Programming and Data Management Now, let's take the fridge_model data that has been prepared and sort it by fridge_model_id: use fridge_model, clear sort fridge_model _id save fridge_model3 list Let's create the second dataset for these models: clear input fridge_model_id str10 length width 1 100 200 2 150 300 3 200 400 end sort fridge_model_id save fridge_extra list [ 28 ] Chapter 2 Now, let's merge two files together on the basis of the variable that is sorted.

Click on the Create button. Here is what the box will look like: 2. Select Basic plots and select the type of the plot as Scatter plot. 3. Select X and Y variable, as shown in the next screenshot: [ 38 ] Chapter 3 4. Click on the Accept button after performing the required changes, as shown in the preceding screenshot. 5. Your output window will open with scatter plot, as shown in the next screenshot: What if you need to add more variables and create complex scatter plots? You can add as many variables as you want and observe the clusters that are naturally available in the scatter plot.

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