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TinkerPlots

TinkerPlots is exploratory data analysis and modeling software designed for use by students in grades 4 through university. It was designed by Clifford Konold and Craig Miller at the University of Massachusetts Amherst and is currently published by Learn Troop. It runs on Windows XP or later and Mac OS 10.4 or later. The program allows users to enter…

Technology & Products

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 TinkerPlots. 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.

Additional References

CD-ROMCiteSeerXDoiS2CIDMathematics education
5 related topics

Educational Materials using TinkerPlots

ISBNResearch Question
2 related topics

Overview

Exploratory data analysisUniversity of Massachusetts AmherstLearn TroopWindows XPMac OS 10.4
11 related topics

Key facts & relationships

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

Developers
Clifford Konold and Craig D. Miller
License
Proprietary
Operating system
Mac OS X, Windows
Stable release
3.0.36 / October 2023
Type
Educational software

Topics to explore

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

Overview

Additional References

Educational Materials using TinkerPlots

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

TinkerPlots

Nodes22
Edges21
Triples80
Avg. degree1.91
Density0.090909
Components1

How this topic connects Entity context

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

TinkerPlots

Top relations

related to Educational Materials using TinkerPlots · 70
TinkerPlots → Activities, Activity Notes, Adding Data, Analyzing Data, Analyzing Safety Data, Analyzing Survey Data, Attributes, AVI, Boxplots, Brodesky, Building, Cats, Center, Choosing, Collecting Information, Comparing Groups, Comparisons, Contents, Creating Sample SpacesTinkerPlots Workshop, Data
related to External links · 4
TinkerPlots → Key Curriculum, Learn TroopTinkerPlots, Massachusetts AmherstTinkerPlots, University
Developers · 1
TinkerPlots → Clifford Konold and Craig D. Miller
License · 1
TinkerPlots → Proprietary
Operating system · 1
TinkerPlots → Mac OS X, Windows
Stable release · 1
TinkerPlots → 3.0.36 / October 2023
Type · 1
TinkerPlots → Educational software
Website · 1
TinkerPlots → Official website

Important terminology Word statistics

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

Important terminology

data using konold 10 version windows graphs isbn statistics education mathematics students university software 2006 technology exploring designed program make

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
TinkerPlotsDevelopersClifford Konold and Craig D. Miller1.00infobox
TinkerPlotsLicenseProprietary1.00infobox
TinkerPlotsOperating systemMac OS X, Windows1.00infobox
TinkerPlotsStable release3.0.36 / October 20231.00infobox
TinkerPlotsTypeEducational software1.00infobox
TinkerPlotsWebsiteOfficial website1.00infobox
TinkerPlotsrelated to Educational Materials using TinkerPlotsKonold0.60section
TinkerPlotsrelated to Educational Materials using TinkerPlotsExploring Data0.60section
TinkerPlotsrelated to Educational Materials using TinkerPlotsKey Curriculum Press0.60section
TinkerPlotsrelated to Educational Materials using TinkerPlotsISBN0.60section
TinkerPlotsrelated to Educational Materials using TinkerPlotsContents0.60section
TinkerPlotsrelated to Educational Materials using TinkerPlotsGetting Started0.60section

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.