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SOFA Statistics: Works, Overview & Statistics features - workflows

SOFA Statistics is an open-source statistical package. The name stands for Statistics Open For All.

Language: English [EN]
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SOFA Statistics topic overview

The analysis highlights Works, Overview and Statistics features - workflows as prominent areas in the source structure around SOFA Statistics.

Related topics
39
Source areas
2
Connected nodes
41
Extracted relationships
12
Related term clusters
26
Bridge connections
41

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.

Overview · 37 topics
Statistics features - workflows · 2 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.

Developers
Paton-Simpson & Associates Ltd
License
AGPL
Operating system
Cross-platform
Stable release
1.5.7 / 11 September 2024; 23 months ago (2024-09-11)
Type
Statistical analysis
Written in
Python

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Explore all related topics Closing gaps

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.

Overview

Statistics features - workflows

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How SOFA Statistics connects Entity context

The extracted context around SOFA Statistics shows recurring relationship patterns in the source. For example, SOFA Statistics → Paton-Simpson & Associates Ltd Another extracted example is SOFA Statistics → AGPL. Use these groups to spot repeated connection types before inspecting the individual relationships.

SOFA Statistics

Top relations

Developers · 1
SOFA Statistics → Paton-Simpson & Associates Ltd
License · 1
SOFA Statistics → AGPL
Operating system · 1
SOFA Statistics → Cross-platform
Stable release · 1
SOFA Statistics → 1.5.7 / 11 September 2024; 23 months ago (2024-09-11)
Type · 1
SOFA Statistics → Statistical analysis
Website · 1
SOFA Statistics → www.sofastatistics.com
Written in · 1
SOFA Statistics → Python
is a · 1
SOFA Statistics → open-source statistical package

Important terminology

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

Important terminology

statistical statistics sofa available microsoft packages python also operating written open-source open data produced column features analysis mysql postgresql sqlite

SOFA Statistics relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around SOFA Statistics. Examples in this analysis include SOFA Statistics → Developers → Paton-Simpson & Associates Ltd and SOFA Statistics → License → AGPL. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SOFA StatisticsDevelopersPaton-Simpson & Associates Ltd1.00infobox
SOFA StatisticsLicenseAGPL1.00infobox
SOFA StatisticsOperating systemCross-platform1.00infobox
SOFA StatisticsStable release1.5.7 / 11 September 2024; 23 months ago (2024-09-11)1.00infobox
SOFA StatisticsTypeStatistical analysis1.00infobox
SOFA StatisticsWebsitewww.sofastatistics.com1.00infobox
SOFA StatisticsWritten inPython1.00infobox
SOFA Statisticsis aopen-source statistical package0.90text
Microsoft Windowsinstance ofand sum.Installation packages are available for several operating systems0.80text
Ubuntuinstance ofand sum.Installation packages are available for several operating systems0.80text
Arch Linuxinstance ofand sum.Installation packages are available for several operating systems0.80text
Linux Mintinstance ofand sum.Installation packages are available for several operating systems0.80text

Related concept clusters Related term clusters

The concept neighborhoods around SOFA Statistics bring nearby vocabulary together. In this analysis, examples include Statistics, Statistical and Packages. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • SOFA Statistics
    • Statistics
    • Statistical
    • Packages
    • Analysis
    • Compared
    • Features
    • Found
    • Free
    • Open-source
    • Python
    • Software
    • Source
  • sofa statistics
    • Statistics
    • Statistical
    • Packages
    • Analysis
    • Features
    • Software
    • Source
    • Written
    • Compared
    • Found
    • Free
    • Open-source
  • statistical package
    • Statistics
    • Available
    • Packages
    • Analysis
    • Compared
    • Features
    • Found
    • Free
    • Software
    • Source
    • Scipy
    • Sofa
  • statistics features - workflows
    • Analysis
    • Compared
    • Features
    • Found
    • Open
    • Operating
    • Python
    • Software
    • Source
    • Statistics
    • Written
    • Sofa
  • repository of statistics packages
    • Compared
    • Found
    • Free
    • Software
    • Source
    • Sofa
    • Statistical
    • Analysis
    • Features
    • Written
    • Statistics
    • Ubuntu
  • microsoft sql server
    • Csv
    • Gumeric
    • Mysql
    • Postgresql
    • Sqlite
    • Tab-separated
    • Ubuntu
    • User
    • Also
    • Data
    • Operating
    • Available
  • microsoft excel
    • Csv
    • Gumeric
    • Mysql
    • Postgresql
    • Sqlite
    • Tab-separated
    • Ubuntu
    • User
    • Also
    • Data
    • Operating
    • Available
  • microsoft windows
    • Csv
    • Gumeric
    • Mysql
    • Postgresql
    • Sqlite
    • Tab-separated
    • Ubuntu
    • User
    • Also
    • Data
    • Operating
    • Available

Connections between topic areas Semantic bridges

For SOFA Statistics, one of the stronger structural bridges in this analysis connects SOFA Statistics with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
SOFA Statistics — Overview · splits 4 ⟂ 38
SOFA Statistics — Statistics features - workflows · splits 39 ⟂ 3

Map overview Semantic statistics

SOFA Statistics

Nodes42
Edges41
Triples12
Avg. degree1.95
Density0.047619
Components1

Source & methodology

TTTA analyzes the structure around SOFA Statistics to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Overview & Statistics features - workflows, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — SOFA Statistics · EN edition · Analysis: TopicsToTalkAbout

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