Pull in your data or ours, do standardized or custom analysis and visualization, then generate and deploy interactive reports—all in one system, with one integrated workflow.
The Mathematica statistics solution includes powerful optimization and statistics functionality alongside unique capabilities like built-in data sources, instant interactivity, and the reliability of any-precision numerics and symbolic analysis.
Computing, analyzing, and presenting data in a single document
A slide show with interactive graphics and computations that can be modified during a presentation
Performing cluster analysis on numerical, Boolean, or string data
Randomly generated numeric data grouped into four clusters
Fitting and analyzing parametric models of data
A dataset fitted with several binomial generalized linear models
Creating dynamic visualizations of data
A few of the charting options for multiple datasets
Integrated access to historic and current financial, socioeconomic, geographic, and scientific data suitable for computation without preprocessing Competitor note: Unique to Mathematica
Built-in functionality for statistical analysis and computation, curve fitting, image processing, and a range of other application areas Competitor note: Matlab requires the purchase of extra toolboxes necessary if using Matlab
Powerful symbolic statistical computation and built-in functions for all standard statistical distributions Competitor note: Matlab, R, and STATA and other numerical systems do not have integrated symbolic functionality
Complete statistical analysis workflow, from data import to analysis to typeset document or slide show, in a single document Competitor note: R, SAS, S-PLUS, Minitab, and other software do not support a complete analysis workflow in a single document
Seamless integration of numerics, symbolics, interactive graphics, and all other computational aspects in one document Competitor note: Unique to Mathematica
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
Perform Monte Carlo simulations, bootstrap analysis, estimate probabilities, and more for pricing options and other finance applications
Model and predict a wide range of failure rates, such as the life expectancy of a product or the reliability of engineering materials, using built-in Weibull distribution functions
Analyze FRAP (fluorescence recovery after photobleaching) experiments to quantify the mobility of molecules in live cells or develop models to investigate SIR epidemic dynamics
Determine insights by analyzing current and historical built-in financial, socioeconomic, geographic, and demographic data
Study public health statistics, voting patterns, consumer spending data, and more for predictive modeling
Solve day-to-day optimization problems in many diverse fields such as production, supply chain management, engineering design, finance, and more using built-in or user-defined routines
Generate user-defined or built-in 2D and 3D graphics for visualizing data
Create interactive applications, reports, and presentations for instant deployment through the Mathematica Player family or webMathematica
"When I tell them [legislators] what the risks are of post-event
bonding, they know I'm not talking out of my hat. They know there's real
science behind this."
"Now that we have the powers of Mathematica, especially some of the new stuff in [Mathematica], we can do things we couldn't do before.... We can get better results and we can do it quickly."
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