Home  /  Products  /  Features  /  Data manipulation

Data manipulation

Importing/exporting data

JDBC support

  • Import data from Oracle, Microsoft SQL Server, MySQL, Amazon Redshift, Snowflake, and other databases
  • Export data to an existing database table
  • Execute SQL statements on a database
  • Create data source names to store connection settings
  • Support for CLOBs, BLOBs, and Unicode
  • Import data using GUI New

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

Built-in spreadsheet editor

  • Clipboard Preview Tool lets you control how data will be pasted
  • Manage variables with the Variables Tool
  • For Windows , Mac , and Unix
  • Pinnable rows and columns New
  • Resizable cell editor for string data New
  • Tool tips for truncated text New
  • Proportional width font supportNew
  • Columns can be resized and are preserved when saving the dataset
  • Show variable labels in column header New
  • Keyboard shortcut for hiding and showing value labels New

Properties window

  • Manage variables
  • Manage dataset properties
  • For Windows , Mac , and Unix

Variables Manager

  • Change storage types, names, and formats
  • Add and edit value labels
  • Attach notes to variables
  • Filter variables
  • For Windows , Mac , and Unix


Data reorganization

  • Row–column transposition
  • Data reshaping
  • Stacking of variables
  • Collapsing into means, totals, etc.

Unicode support

  • UTF-8
  • Translation of extended ASCII to UTF-8
  • Unicode-aware string functions
  • Locale-based sorting and string comparison


  • 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


  • Extensive notes can be attached to a dataset

Data snapshots

  • Allow multiple levels of undo to modified datasets

Multiple datasets in memory (frames)

  • Link frames Updated
  • Copy data between frames
  • Access data in other frames
  • Post simulation results to frame
  • Manipulate frames
  • Access frames from Mata
  • Access frames from Mata
  • Save, load, describe multiple frames New

Automatic memory management


  • 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


  • 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

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
  • Create custom tables

Additional resources

See New in Stata 18 to learn about what was added in Stata 18.