ORDER STATA
Data management
Importing/exporting data 
- Import and export data from Excel .xls and .xlsx files
- Import and export CSV and delimited data
- Copy/paste data from spreadsheets
- Input data in spreadsheet editor
- Read from and write to SQL sources with ODBC (see below)
- Import and export fixed-format data using a dictionary
- Import and export any type of text data Updated
- Unicode (UTF-8) support, including conversion from/to extended ASCII
- Import EBCDIC data and convert EBCDIC to ASCII
- Import SAS files New
- Import SPSS files New
- Import and export data in the format required by the FDA for NDA submittals Updated
- Import and export SAS Transport XPORT files New
- Import Federal Reserve Economic Data
- Import from Haver Analytics databases
- Import data from Wharton Research Data Services (WRDS) via ODBC
- Import and export dBase files
- High-level import/export of full Excel worksheets
- Low-level cell-by-cell access to write results to and read data from Excel, including graphs, formulas, date formats, currency formats, bold, italics, and more
Watch Import Excel® data into Stata.
Watch Copy/Paste from Excel® into Stata.
Watch Importing delimited data.
Watch Copy/Paste from Excel® into Stata.
Watch Importing delimited data.
ODBC support
- Import data from any ODBC data source, such as Oracle, SQL Server, Access, Excel, MySQL, and DB2
- Export data to new or existing ODBC tables
- Execute custom SQL commands individually or in batches
- Customize ODBC connection strings
- Support for ODBC
- Support for VARCHARs/CLOBs and BLOBs
- Support for Unicode
- Clipboard Preview Tool lets you control how data will be pasted
- Manage variables with the Variables Tool
- For Windows , Mac , and Unix
Properties window
- Manage variables
- Manage dataset properties
- For Windows , Mac , and Unix
- Change storage types, names, and formats
- Add and edit value labels
- Attach notes to variables
- Filter variables
- For Windows , Mac , and Unix
Watch Label variables.
Watch Label the values of categorical variables.
Watch Change the display format of a variable.
Watch Add notes to a variable.
Watch Change the display format of a variable.
Watch Label the values of categorical variables.
Watch Change the display format of a variable.
Watch Add notes to a variable.
Watch Change the display format of a variable.
- Statistical functions
- Mathematical functions Updated
- Trigonometric functions
- String functions
- Unicode functions
- Regular expressions
- Date and time functions
- Time-series functions
- Random-number functions
- 18 functions
- Stream random numbers
- Matrix functions
- Programming functions
Watch Round a continuous variable.
Data reorganization
- Row–column transposition
- Data reshaping
- Stacking of variables
- Collapsing into means, totals, etc.
Watch Reshape data from wide format to long format.
Watch Reshape data from long format to wide format.
Watch Reshape data from long format to wide format.
- UTF-8
- Translation of extended ASCII to UTF-8
- Unicode-aware string functions
- Locale-based sorting and string comparison
Watch Unicode in Stata.
Labels
- Dataset labels
- Variable labels
- Value labels (e.g., male and female for 0 and 1)
- Ability to switch between multiple sets of data, variable, and value labels
- Missing-value labels
- Support for multiple languages, including Unicode support
Notes
- Extensive notes can be attached to a dataset
Watch Add notes to a variable.
Data snapshots
- Allow multiple levels of undo to modified datasets
Multiple datasets in memory (frames) New
- Link frames
- Copy data between frames
- Access data in other frames
- Post simulation results to frame
- Manipulate frames
- Access frames from Mata
- Up to 1.5 TB of RAM supported
- Up to 120,000 variables in Stata/MP; up to 32,767 variables
in Stata/SE - 20 billion or more observations in Stata/MP
- Up to 2.1 billion observations in Stata/SE and Stata/IC
Sorting
- Ascending or descending sorts
- Multiple-key sorts
- Numeric and string sorts
- Locale-aware Unicode string sorting and comparison
Combining datasets
- Merge datasets
- By key variables
- By observations
- Join datasets
- Outer join
- Append datasets
- Append time series
Special datasets
- Longitudinal data/panel data
- Survival/duration data
- Time series
- Survey data
- Multiple imputations
- Discrete choice data New
Utilities
- Count number of observations that satisfy specified conditions
- Formatted and unformatted disk I/O
- Zip-file support
- Unicode conversion from/to extended ASCII
- Custom filters to manipulate text files
Variable management
- Generation of new variables
- Replacement of existing variables
- Renaming variables
- Encoding and decoding string variables
- Reordering variables in dataset
- Variables Manager
Watch Create a new variable that is calculated from other variables.
Watch Convert categorical string variables to labeled numeric variables.
Watch Create a categorical variable from a continuous variable.
Watch Convert a string variable to a numeric variable.
Watch Identify and replace unusual data values.
Watch Convert missing value codes to missing values.
Watch Convert categorical string variables to labeled numeric variables.
Watch Create a categorical variable from a continuous variable.
Watch Convert a string variable to a numeric variable.
Watch Identify and replace unusual data values.
Watch Convert missing value codes to missing values.
Dataset utilities
- Flexible description of variables, labels, and types
- List values of variables
- Data signatures to verify the integrity of datasets
- Codebooks for variables
- Value-label reports
- Duplicates and missing values tables
- Compress (make dataset as small as possible without loss of accuracy)
Variable types
- Numeric storage types
- Byte
- Integer (int)
- Long
- Float
- Double
- String (including Unicode, very long strings and BLOBs)
- Dates and times
- Business calendars
Long string support
- Up to 2 billion character long strings
- Coalescing of duplicate values to save memory
- Binary 'strings' (BLOBs)
- Import and export entire files into long strings/BLOBs
- Unicode (UTF-8) strings
Stored results
- Save results to disk for later use
- Store estimation results in memory
- Create tables to compare results
Additional resources
- Data Management Reference Manual
- Data Management Using Stata: A Practical Handbook by Michael N. Mitchell
- In the spotlight: import excel and export excel: Easing the exchange of data
- In the spotlight: Export tables to Excel
- In the spotlight: Finding and using results, constants, functions ... anything
- In the spotlight: Storing long strings and entire files in Stata datasets
- The Stata Blog: Data management category
- Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals training course
See New in Stata 16 for more about what was added in Stata 16.
