With the use of formulas and matrix functions, SAS makes it easy to plot and analyze complex data sets. The matrix and statistics modules allow users to see and evaluate the relationship between variables, which is a primary function of the analysis. There are many methods for constructing complex mappings between variables and other data.
Statistics for SAS makes it easy to make use of Matlab or Fortran code in a variety of industries and projects. Statistics for SAS includes extensions for Microsoft Excel and FORTRAN. With MATLAB and FORTRAN, you can easily generate your own statistical reports, without the need for a specialist.
There are several ways to create graphical reports for statistical analysis. The matrix functions create charts, pie charts, bar charts, scatter plots, and histograms. Use the interface to customize your charts. By using the graphical package, users can generate visual representations of a variable in different color schemes, line thicknesses, and widths.
Statistics for SAS allows users to create customized statistical applications using the visual solution package. The result is a graphical user interface that allows users to quickly visualize data, calculate multiple values, plot relationships between variables, or create a graphical representation of a region. Users can also create an interactive histogram, bar chart, or scatter plot.
SAS also provides users with the ability to store and export data. Users can select the components they want to export and create a report from the exported data. There are a number of options when creating data storage and exporting options.
In addition to displaying data, SAS allows users to manipulate data with functions and routines that operate on variables. These functions and routines provide administrators with a tool for quickly updating or changing a data set to meet changing business needs. If the need arises, administrators can create a new model to use data from another source.
Statistics for SAS provides the ability to run statistical analysis on multiple models, across multiple dimensions. This ability provides a number of business analysts with a variety of tools for performing detailed business analysis. Data is used to drive models that determine how the data is used in decision making.
Statistics for SAS enables users to manipulate data by grouping, sorting, and filtering. These functions enable users to create mathematical and statistical models that are applicable to every business function. Statistics for SAS makes it easy to visualize and analyze large data sets, which allows users to make sound business decisions.
Data analysis includes integration and modelling of various sources, including COUNT data sources. Statistics for SAS makes it possible to use COUNT data sources directly in models and plot data points. Operations such as duplicate detection and presence detection use COUNT data as the starting point.
Statistics for SAS includes advanced features for data manipulation. A number of objects that support graphical displays are available in the statistics and matlab modules. The graphic capability in SAS allows users to create graphical representations of variables and relationships.
Statistics for SAS makes it easy to provide administrators with robust analysis of the results of their analyses. Statistics for SAS makes it possible to make changes to your models and charts and use the analysis to find a better fit. Statistics for SAS allows you to quickly plot a bar chart, or a scatter plot, and view the data in different color schemes.