Read here why Version 5 users should upgrade to Version 7!

Read here why Version 6 users should upgrade to Version 7!

• Instantly update all graphs when the underlying data set changes.
• Construct alternate, dynamic views of your data with large numbers of dynamically linked STATISTICA graphs.
• Use the new graph brushing tools to interact with the data by leveraging STATISTICA graphics as "visual subset selection and querying tools."
• Define your own metadata containing additional properties of individual variables; for analyses (e.g., to pre-select and populate variable lists with "only appropriate" variables) and graphs (e.g., to pre-select default scaling for variables in scatterplots or histograms).
• Define your own metadata containing additional properties of individual cases in a data set (e.g., a particular subset of cases can be assigned a "red star" marker, and will appear as such in all graphs; other cases can be assigned an "always labeled" status and will be identified with their names in all graphs).

• Automatically display text of current case selection conditions in the title areas of all respective output spreadsheets and graphs.
• Conveniently run text searching, matching, and replacement functions for case selection conditions and spreadsheet formulas using a significantly expanded syntax.

• Use powerful, automatic "By Group" Analysis where complete analyses, whether Statistics or Graphs, are repeatedly executed for each combination of levels of a set of "By Group" variables. For example, selecting variables CITY and GENDER as "By Group" variables for a particular analysis will instruct STATISTICA to repeate this analysis for all subsets of cases that can be created by combinations of levels of CITY and GENDER (e.g.,Dallas/Men, Dallas/Women, Chicago/Men, Chicago/Women,...).

Go even further using STATISTICA as a comprehensive and efficient programming platform for developing highly interactive custom graphics applications. Embed a wide variety of ActiveX controls within STATISTICA graphs.

More Data Import Options

• Conveniently import or export SAS (both binary and portable formats), and native (binary) JMP, Minitab, and SPSS files, providing easy migration from these legacy systems.

Enjoy the wide selection of new workbook features in STATISTICA 7. Use the power of the new workbook multi-item display function.

• Export all document types into (editable) PDF format.

For example:

• STATISTICA NIPALS Algorithm (PCA/PLS) - an implementation of a number of techniques known as Principal Component Analysis (PCA) and Partial Least Squares (PLS). In STATISTICA, PCA and PLS are implemented using the state of the art NIPALS algorithm (Nonlinear Iterative Partial Least Squares) a mathematical procedure designed to extract systematic variations, relationships, and information in datasets. STATISTICA NIPALS simplifies the analysis at hand while effectively combating the curse of high dimensionality (typically present when the number of variables is large). STATISTICA NIPALS is also particularly suited for use in data diagnostics, making it an ideal tool for use in Quality Control in many areas of science and technology.
• Link Analysis - a new, stand-alone product for sequence analysis, advanced association rules analysis, mixed sequence and association rules analysis, post-analysis clustering of similar items, deployment of solutions, and querying of rules.
• Random Forests - a new, powerful module in STATISTICA Data Miner (as well as STATISTICA Text Miner and STATISTICA QC Miner) for building flexible models for classification and regression; particularly well-suited for extremely large numbers of predictor variables.

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