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Statistica: History & Applications
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.
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Statistica topic overview
The analysis highlights History and Applications as prominent areas in the source structure around Statistica.
Related topics
39
Source areas
4
Connected nodes
43
Extracted relationships
95
Concept neighborhoods
16
Bridge connections
43
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 24 topics
Overview · 12 topics
User interface · 2 topics
Graphics · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
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
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Statistica connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Statistica shows recurring relationship patterns in the source. For example, 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 Another extracted example is 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. Use these groups to spot repeated connection types before inspecting the individual relationships.
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
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 95 structured relationships around Statistica. Examples in this analysis include Statistica → Developer → TIBCO Software and Statistica → License → Proprietary software. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Statistica
Developer
TIBCO Software
1.00
infobox
Statistica
License
Proprietary software
1.00
infobox
Statistica
Operating system
Windows
1.00
infobox
Statistica
Original author
StatSoft
1.00
infobox
Statistica
Stable release
14.4.0 (64-bit) / April 2026
1.00
infobox
Statistica
Type
Numerical analysis
1.00
infobox
Statistica
Website
www.tibco.com/data-science-and-streaming
1.00
infobox
Statistica
is a
advanced analytics software package originally developed by StatSoft and currently maintained by TIBCO Software Inc
0.90
text
Statistica
related to Further reading
Afifi
0.60
section
Statistica
related to Further reading
Clark
0.60
section
Statistica
related to Further reading
May
0.60
section
Statistica
related to Further reading
Computer-Aided Multivariate Analysis
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Statistica bring nearby vocabulary together. In this analysis, examples include Released, Acquired and April. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Statistica
Released
Acquired
April
Dell
November
System
Tibco
Statistics
Statsoft
Inc
64-bit
Included
statistica
Released
Acquired
April
Dell
November
System
Tibco
Statistics
Statsoft
Inc
64-bit
Included
tibco software
Developed
Originally
Tibco
Statsoft
Inc
Statistica
Acquired
Dell
Management
Type
Data
May
data analysis
Mining
Analysis
Data
Exploratory
Management
Procedures
Well
Type
Analytics
Statistical
Software
Applications
quest software
Developed
Originally
Tibco
Statsoft
Inc
Statistica
Acquired
Dell
Management
Data
Statistical
Analysis
analytics
April
Developed
Originally
Tibco
Statsoft
Data
Statistica
Analysis
Inc
Software
64-bit
Acquired
text analytics
April
Developed
Originally
Tibco
Statsoft
Data
Statistica
Analysis
Inc
Software
64-bit
Acquired
data management
Mining
Procedures
Analysis
Exploratory
Management
Well
Software
Acquired
Dell
November
Statistical
Techniques
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Statistica, one of the stronger structural bridges in this analysis connects Statistica with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Statistica
Nodes44
Edges43
Triples95
Avg. degree1.95
Density0.045455
Components1
Source & methodology
TTTA analyzes the structure around Statistica to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
