Fast, accurate, and easy to use
With both a point-and-click interface and a powerful, intuitive command syntax, Stata is fast,
accurate, and easy to use. For more than 30 years, Stata provides everything you need for data analysis, data
management, and powerful publication quality graphics.
Stata is available for Windows, Mac and Linux
Complete suite of statistical features Stata
puts hundreds of statistical tools at your fingertips:
Complete data-management facilities
Stata's data-management features give you complete control of all types of data. You can combine and reshape
datasets, manage variables, and collect statistics across groups or replicates. You can work with byte, integer,
long, float, double, and string variables (including BLOBs and strings up to 2 billion haracters). Stata also has
advanced tools for managing specialized data such as survival/duration data, time-series data, panel/longitudinal
data, categorical data, multiple-imputation data, and survey data.
All analyses can be reproduced and documented for publication and review. Version control ensures statistical
programs will continue to produce the same results no matter when you wrote them.
Stata most popular versions:
Stata/MP: The fastest version of Stata (for dual-core, quad-core and multicore/multiprocessor computers) that can analyze BIG DATA
Stata/MP is the fastest and largest version of Stata
Stata/MP lets you analyze data in one-half to two-thirds the time compared with Stata/SE on inexpensive dual-core laptops and in one-quarter to one-half the time on quad-core desktops and laptops. Stata/MP runs even faster on multiprocessor servers. Stata/MP supports up to 64 cores/processors.
Speed is often most crucial when performing computationally intense estimation procedures. A few of Stata's estimation procedures, including linear regression, are nearly perfectly parallelized, meaning they run twice as fast on two cores, four times as fast on four cores, eight times as fast on eight cores, and so on. Some estimation commands can be parallelized more than others. Taken at the median, estimation commands run 1.9 times faster on 2 cores, 3.1 times faster on 4 cores, and 4.3 times faster on 8 cores.
Speed can also be important when managing large datasets. Adding new variables is nearly 100 percent parallelized, and sorting is 75 percent parallelized.
Because speed is very important when your problems are big, Stata/MP supports even larger datasets than Stata/SE.
Stata/SE can analyze up to 2 billion observations. Stata/MP can analyze 10 to 20 billion observations on the largest computers currently available and is ready to analyze up to 1 trillion observations once computer hardware catches up. Stata/MP also allows 120,000 variables compared to 32,767 variables allowed by Stata/SE.
Universities worldwide rely on Stata because it is a
package that provides a broad statistical base.
your course with Stata provides your students with
skills that translate to their professional life."