Basic Data Handling
Numeric, alphanumeric (string), and date series; value labels.
Extensive library of operators and statistical, mathematical, date and string functions.
Powerful language for expression handling and transforming existing data using operators
and functions.
Samples and sample objects facilitate processing on subsets of data.
Support for complex data structures including regular dated data, irregular dated data,
cross-section data with observation identifiers, dated, and undated panel data.
Multi-page workfiles.
EViews native, disk-based databases provide powerful query features and integration with
EViews workfiles.
Convert data between EViews and various spreadsheet, statistical, and database formats,
including (but not limited to): Microsoft Access files, Excel files, Gauss dataset files,
ODBC Dsn files, ODBC Query files, SAS Transport files, native SPSS files, SPSS Portable
files, Stata files, Rats files, GiveWin files, TSP Portable files, raw formatted ASCII
text or binary files, HTML. (Note: ODBC support is provided only in
the Enterprise Edition).
Drag-and-drop support for reading data; simply drop files into EViews for automatic
conversion of foreign data into EViews workfile format.
Powerful tools for creating new workfile pages from values and dates in existing series.
Match merge, join, append, subset, resize, sort, and reshape (stack and unstack)
workfiles.
Frequency conversion and match merging support dynamic updating whenever underlying data
change.
Auto-updating formula series that are automatically recalculated whenever underlying data
change.
Auto-updating links that are automatically recalculated whenever underlying data changes
on another workfile page which could be of different frequency or containing partial
over-lapping data.
Resampling.
Random number generation (18 different distribution functions) and 3 types of random
number generator.
Next: Data Handling - Time Series
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