Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Statistica

Statistica is an advanced analytics software package originally developed by StatSoft and currently maintained by TIBCO Software Inc. Statistica provides data analysis, data management, statistics, data mining, machine learning, text analytics and data visualization procedures.

History & Applications

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Statistica. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

History

24 related topics

Overview

12 related topics

User interface

2 related topics

Graphics

1 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
TIBCO Software
License
Proprietary software
Operating system
Windows
Original author
StatSoft
Stable release
14.4.0 (64-bit) / April 2026
Type
Numerical analysis

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Graphics

User interface

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Statistica

Nodes44
Edges43
Triples95
Avg. degree1.95
Density0.045455
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Statistica

Top relations

related to Further reading · 40
Statistica → Academic Press, Afifi, Apple Macintosh, Applications, Applied Statistics Using Spss, Berlin, Burlington, Clark, Computer-Aided Multivariate Analysis, CRC Press, Data Mining Applications, Elder, Elsevier, Handbook, Hill, ISBN, James, Joaquim, Karen, Lewicki
related to history · 35
Statistica → April, Complete Statistical System, CSS, December, Dell, DOS, Elliott Management Corporation, February, Following, Francisco Partners, In, In November, It, July, June, List, Lotus, Mac, Macintosh, Macintosh Statistical System
related to overview · 6
Statistica → Additional, Dell, Different, March, StatSoft, The
related to User interface · 4
Statistica → Each, It, Operation, The
Developer · 1
Statistica → TIBCO Software
License · 1
Statistica → Proprietary software
Operating system · 1
Statistica → Windows
Original author · 1
Statistica → StatSoft
Stable release · 1
Statistica → 14.4.0 (64-bit) / April 2026
Type · 1
Statistica → Numerical analysis

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

software analysis statsoft released data analytics statistical statistics release tibco available new may originally developed management mining procedures dell macintosh

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
StatisticaDeveloperTIBCO Software1.00infobox
StatisticaLicenseProprietary software1.00infobox
StatisticaOperating systemWindows1.00infobox
StatisticaOriginal authorStatSoft1.00infobox
StatisticaStable release14.4.0 (64-bit) / April 20261.00infobox
StatisticaTypeNumerical analysis1.00infobox
StatisticaWebsitewww.tibco.com/data-science-and-streaming1.00infobox
Statisticais aadvanced analytics software package originally developed by StatSoft and currently maintained by TIBCO Software Inc0.90text
Statisticarelated to Further readingAfifi0.60section
Statisticarelated to Further readingClark0.60section
Statisticarelated to Further readingMay0.60section
Statisticarelated to Further readingComputer-Aided Multivariate Analysis0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.