Introduction to STATA

STATA, like SPSS is a smart data analysis tool used for data management and analysis. It is a fast and easy to use, across all operating systems such as Windows, Unix and Mac. Our module is based on Windows version of STATA 11.0. The software is available for both 32-bit and 64-bit windows operating systems. The standard version of the software can handle upto 2047 variables whereas the expert edition can handle the data upto 32,766 variables. In this first article I am focussing on the basic interface of the software.

Basic STATA interface

Introducing STATA and its basic interface

Basic interface of STATA

  1. Command: The window labeled command is where you type in your commands.
  2. Results: Once the command is entered the results are shown in larger window as tagged above.
  3. Review: History of commands entered are added in the command window of review section.
  4. Variables: The list of variables in the data set is added in the variable window. Properties of variables are mentioned in the same window in case of version 11.0, however after v12.0, the properties tab has been shifted to right hand side corner (see figure below).
Main screen of STATA

Main Window

Importing data to STATA

Priya Chetty

Partner at Project Guru
Priya is a master in business administration with majors in marketing and finance. She is fluent with data modelling, time series analysis, various regression models, forecasting and interpretation of the data. She has assisted data scientists, corporates, scholars in the field of finance, banking, economics and marketing.

Related articles

  • Creating a do-file Do-file is an interface in Stata which allows the researcher to compile all the commands and results at one place. Once the commands are stored in do file, one do not need to enter the command again. One can simply run the do file and get all the results at once. Unlike SPSS wherein, the […]
  • Importing data to STATA STATA comes with a set of sample data files. This helps the learner in understanding how different set of tests can be applied to single data.
  • Variable management in STATA Data entered in STATA can be classified either as numeric or string type. Associated with each type of data is its storage type i.e. the numbers are stored as byte, int, long, float, or double. STATA takes “float” as the default storage type for its variables.
  • How to predict and forecast using ARIMA in STATA? After performing Autoregressive Integrated Moving Average (ARIMA) modelling in the previous article: ARIMA modeling for time series analysis in STATA, the time series GDP can be modelled through ARIMA (9, 2, 1) .
  • Correlation analysis using STATA Correlation analysis is conducted to examine the relationship between dependent and independent variables. There are two types of correlation analysis in STATA.

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