Stata is a powerful statistical software that can help you analyze, manage and visualize data. Stata for Mac is available in three editions: Stata/MP, Stata/SE and Stata/BE. Each edition has different features and capabilities, so you should choose the one that suits your needs best. You can compare the editions here: https://www.stata.com/products/mac/
To download and install Stata for Mac, you need to have a valid license and a username, password and serial number that you received from StataCorp via email. You also need to have a Mac with an Intel-based processor and macOS 11.0 (Big Sur) or newer for Macs with Apple Silicon or macOS 10.12 (Sierra) or newer for Macs with Intel processors.
Here are the steps to follow:
Go to the Stata download site: https://www.stata.com/install-guide/mac/download/
Input your username, password and serial number in the prompt.
Enter your information on the next screen.
Choose your operating system on the next screen.
Click on Stata17.dmg to download the disk image to your Downloads folder.
Once the disk image has finished downloading, open your Downloads folder and double-click on Stata17.dmg.
Double-click on Install Stata.
Follow the instructions on the screen to complete the installation process.
Once the installation is done, you can launch Stata from your Applications folder or Dock.
Congratulations! You have successfully downloaded and installed Stata for Mac. You can now start using it for your data analysis projects. For more information and support, you can visit the following resources:
Stata FAQs: https://www.stata.com/support/faqs/
Statalist: The Stata Forum: https://www.statalist.org/
Stata Technical Support: https://www.stata.com/support/technical-support/
What are some of the features of Stata
Stata is not just a software for data analysis, but also a data science platform that offers a broad suite of statistical features, publication-quality graphics, automated reporting, and reproducible research capabilities. Here are some of the features that make Stata stand out among other software:
Stata can handle various types of data, such as survival data, panel data, multilevel data, survey data, discrete choice data, multiple-imputation data, categorical data, and time-series data. It can also process text or binary data, Unicode, and BLOBs (strings that can hold entire documents). Stata can manage multiple datasets simultaneously using frames and import and export data from various sources and formats.
Stata can perform a wide range of statistical analyses, such as linear models, panel/longitudinal data models, multilevel mixed-effects models, binary, count, and limited outcomes models, choice models, extended regression models, generalized linear models, finite mixture models, spatial autoregressive models, ANOVA/MANOVA, exact statistics, epidemiology methods, DSGE models, and many more. Stata also allows users to program new commands and extend existing ones.
Stata can create stunning graphs that are customizable and editable. Users can point and click to create a custom graph or write scripts to produce hundreds or thousands of graphs in a reproducible manner. Users can also export graphs to various formats for publication or web use. Stata also has an integrated Graph Editor that lets users change anything about their graph or add titles, notes, lines, arrows, and text.
Stata can automate reporting of results using dynamic Markdown documents that can be converted to Word documents, PDF documents, Excel files or HTML files. Users can also create customizable tables and schemes for graphics. Stata ensures that the reports are truly reproducible by using integrated versioning that preserves the compatibility of scripts and datasets across different versions of Stata.
Stata can integrate with Python using PyStata. Users can invoke Python interactively or embed Python in their Stata code. Users can also invoke Stata from Python and call Stata code from IPython environments. Users can use Stata within Jupyter Notebook and seamlessly pass data and results between Stata and Python.
These are just some of the features that make Stata a powerful and versatile software for data science. For more information and support, users can visit the following resources:
Stata Features: https://www.stata.com/features/
Why Use Stata: https://www.stata.com/why-use-stata/
Stata Review: https://comparecamp.com/stata-review-pricing-pros-cons-features/
Stata Indonesia: https://stata-id.com/stata/features.html aa16f39245