Analyzing Data with DataScene
With DataScene, the user can easily
analyze and process data contained in data tables using DataScene's inter-table
manipulation feature and its powerful math parser. The user can
also easily analyze and process graphs and charts with various series functions.
Data Analysis Through Data Table Manipulations
The user can use DataScene's column
and cell formulas to analyze and process data in data tables. DataScene's
math parser features 57 built-in mathematical and string functions that can be used to build
fairy complex formulas. Inter-table operations are supported by the
parser to access any cells in any data table within the
DataScene's math parser also builds
in 20 fundamental physical and mathematical constants, making it
easy for scientific
and engineering users to use these lengthy
constants in their formulas.
Data Analysis Through Series Functions
In DataScene, graphs and charts can
be readily analyzed and processed using various series
functions. A series function associate one series
(e.g. Line, Bar,
Pie, etc) to another
with a defined mathematical relation. DataScene supports 20 series functions,
many of which contains more variations:
- Arithmetic: Add,
- Calculus and interpolation: Cubic
- Regression: Nonlinear
Fit, and Linear
- Satistical: Average,
Deviation, and Variance.
- Signal processing: FFT,
series functions automatically recalculate their results upon any
change of the data sources. Series functions are also robust and
smart - they automatically interpolate the source data points if
necessary to make them meet the input requirements (e.g. in the case
of FFT where the input data points are not equally spaced).
Ease of Use
DataScene comes with a user friendly
Wizard, as well as tutorials and context-sensitive help. With the Wizard,
it takes only few minutes for a new user to learn to analyze and
process data and graphs with DataScene.