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XLSTAT BASIC
EXPLORE, VISUALIZE, AND MODEL YOUR DATA IN A SINGLE INTERFACE
The Basic solution is the perfect package to get started with data analysis. It includes more than 100 key statistical tools to help you gain in-depth insights into your data.
User defined: A variable indicates the frequency of each observation within the output sample.
Training and test sets: Data are split into two parts – a training set and a test set. The rows of each set are randomly drawn from the initial dataset. The size of the training set is defined by a number of rows.
Training and test sets (%): Data are split into two parts – a training set and a test set. The rows of each set are randomly drawn from the initial dataset. The size of the training set is defined by a row number percentage from the initial data set.
Benefit from a solution that speaks your language (products, assessors, attributes…) and provides actionable results. With XLSTAT Sensory, you can empower your R&D department to develop the right products for target audiences at a reasonable cost.
N first rows: The sample obtained is taken from the first N rows of the initial table.
N last rows: The sample obtained is taken from the last N rows of the initial table. This method is only used if it is certain that the values have not been sorted according to a particular criterion which could introduce bias into the analysis
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