
Statistical software for data science | Stata
Nov 16, 2022 · Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform.
Stata - Wikipedia
Stata (/ ˈsteɪtə /, [2] STAY-ta, alternatively / ˈstætə /, occasionally stylized as STATA [3][4]) is a general-purpose statistical software package developed by StataCorp for data manipulation, …
Stata 19 documentation - Stata Press
Stata 19 documentation Stata's documentation consists of over 19,000 pages detailing each feature in Stata, including the methods and formulas and fully worked examples.
Installation guide: Download (Windows) | Stata
Nov 16, 2022 · Stata installation guide for Windows Stata or StataNow We show screenshots and instructions for StataNow, but any differences if you do not have StataNow are slight and will …
Stata - NIH Library
Stata is an integrated statistical software package for data management, analysis, and visualization. Stata provides both a command syntax for users who are comfortable with …
Stata
Frequently Asked Questions Important Links How can I get my own copy of Stata? Where to run Stata? How to get Stata? Installing, Customizing, Updating Stata Statistical Analysis Data …
Stata for Windows
For a complete list, view our compatible operating systems. Can Stata take advantage of all the cores on my computer for extra speed? Yes; Stata/MP can perform calculations in parallel on …
Explore our products | Stata
Nov 16, 2022 · Learn about Stata ®, a fast, powerful statistical package designed for researchers of all disciplines, or explore our other products, including books, journals, and training courses.
Statalist | The Stata Forum
We discuss Stata, statistics, and Stata and statistics. You can browse without registering but you need to register to participate in the discussion or ask a question.
New in Stata 19 | Stata
Nov 16, 2022 · What's new in Stata 19 Experience the latest advancements, including many new statistical features such as machine learning via H2O, CATE, and HDFE; more powerful tables …