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Pivot table: History, Applications & Measurement

A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other statistics.…

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Pivot table topic overview

The analysis highlights History, Applications and Measurement as prominent areas in the source structure around Pivot table.

Related topics
42
Source areas
6
Connected nodes
48
Extracted relationships
134
Concept neighborhoods
16
Bridge connections
48

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.

Application support · 20 topics
History · 11 topics
Overview · 5 topics
Implementation · 2 topics
Mechanics · 2 topics
Online analytical processing · 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.

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

History

Mechanics

Implementation

Application support

Online analytical processing

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.

How Pivot table connects Entity context

The extracted context around Pivot table shows recurring relationship patterns in the source. For example, Pivot table → Based, Color, Date, E2, E7, East, For, Furthermore, In, Insert, Item, Microsoft Excel, North, Per, Pivot, Pivot Chart, Region, Sales, Ship, Ship Date Another extracted example is Pivot table → Bill Jelen, Borland, Brio Technology, DataPivot, Improv, In, Lotus Development, Lotus Improv, Macintosh, Mike Alexander, NeXT, Pito Salas, Pivot Table Data Crunching, Quattro Pro, Salas, This, While, With Improv. Use these groups to spot repeated connection types before inspecting the individual relationships.

Pivot table

Top relations

related to Implementation · 28
Pivot table → Based, Color, Date, E2, E7, East, For, Furthermore, In, Insert, Item, Microsoft Excel, North, Per, Pivot, Pivot Chart, Region, Sales, Ship, Ship Date
related to history · 18
Pivot table → Bill Jelen, Borland, Brio Technology, DataPivot, Improv, In, Lotus Development, Lotus Improv, Macintosh, Mike Alexander, NeXT, Pito Salas, Pivot Table Data Crunching, Quattro Pro, Salas, This, While, With Improv
related to Database support · 15
Pivot table → CONNECT, Database, FROM, MariaDB, Microsoft Access, Microsoft SQL Server, MySQL, PIVOT, PostgreSQL, Some, SQL, SQL Server, SQLite, The, Therefore
related to Spreadsheets · 11
Pivot table → Apache POILibreOffice Calc, Apple Inc, Calligra Sheets, DataPilot, Google Sheets, Microsoft Excel, Numbers, Openoffice Calc, PivotCharts, PivotTables, Prior
related to Columns · 10
Pivot table → Column, For, Grand, Grand Total, In, Sales Person, Salesperson, There, This, Total
related to Further reading · 10
Pivot table → Beginning Pivot Tables, Business Solutions, Complete Guide, Excel, ISBN, Pivot Table Data Crunching, PivotCharts, PivotTables, Visual, Visual Approach
related to Mechanics · 9
Pivot table → For, How, In, Region, Ship Date, The, Units, What, While
related to Rows · 9
Pivot table → For, Grand Total, In, Pivot, Row, Sales Person, Salesperson, There, This
related to Online analytical processing · 8
Pivot table → Analysis, Excel, Excel's PivotTable, Microsoft's Analysis Service, OLAP, On, XML, XMLA
has application · 6
Pivot table → Ajax, JavaScript UI, Pivot, Several JavaScript UI, Webix, ZK

Important terminology

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

Important terminology

pivot table data tables values one example column microsoft total field database columns rows would row filter salesperson spreadsheet functionality

Pivot table relationships Subject–Predicate–Object triples

TTTA extracted 134 structured relationships around Pivot table. Examples in this analysis include Pivot table → is a → table of values which are aggregations of groups of individual values from a more extensive table and Pivot table → is a → outcome of the statistical processing of tabularized raw data and can be used for decision-making.Although pivot table is a generic term. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Pivot tableis atable of values which are aggregations of groups of individual values from a more extensive table0.90text
Pivot tableis aoutcome of the statistical processing of tabularized raw data and can be used for decision-making.Although pivot table is a generic term0.90text
Pivot tableis asimple client of an OLAP server0.90text
these can contain many data itemsinstance ofWhile tables0.80text
it can be difficult to get summarized information from theminstance ofWhile tables0.80text
Pivot tablehas applicationSeveral JavaScript UI0.60section
Pivot tablehas applicationZK0.60section
Pivot tablehas applicationAjax0.60section
Pivot tablehas applicationWebix0.60section
Pivot tablehas applicationJavaScript UI0.60section
Pivot tablehas applicationPivot0.60section
Pivot tablerelated to Application supportPivot0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Pivot table bring nearby vocabulary together. In this analysis, examples include Tables, Table and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Pivot table
    • Tables
    • Table
    • Data
    • Salesperson
    • Field
    • Example
    • One
    • Applications
    • Citation
    • Needed
    • Total
    • Database
  • pivot table
    • Tables
    • Table
    • Data
    • Column
    • Filter
    • Salesperson
    • Field
    • Example
    • Values
    • Rows
    • One
    • Applications
  • table
    • Data
    • Column
    • Filter
    • Salesperson
    • Field
    • Example
    • Values
    • Rows
    • Total
    • Tables
    • Grand
    • Used
  • database
    • Support
    • Applications
    • Spreadsheet
    • Functionality
    • Using
    • Pivot
    • Tables
    • Values
    • Also
    • Supports
    • Citation
    • Needed
  • microsoft excel
    • Excel
    • Microsoft
    • New
    • Supports
    • Functionality
    • Tables
    • Pivot
    • Spreadsheet
    • Support
    • Applications
    • Citation
    • Fields
  • oracle database
    • Support
    • Applications
    • Spreadsheet
    • Functionality
    • Using
    • Pivot
    • Tables
    • Values
    • Also
    • Supports
    • Citation
    • Needed
  • database software
    • Support
    • Applications
    • Spreadsheet
    • Functionality
    • Using
    • Pivot
    • Tables
    • Values
    • Also
    • Supports
    • Citation
    • Needed
  • object–relational database management system
    • Support
    • Applications
    • Spreadsheet
    • Functionality
    • Using
    • Pivot
    • Tables
    • Values
    • Also
    • Supports
    • Citation
    • Needed

Connections between topic areas Semantic bridges

For Pivot table, one of the stronger structural bridges in this analysis connects Pivot table with Application support. 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
Pivot tableApplication support · splits 28 ⟂ 21
Pivot tableHistory · splits 37 ⟂ 12
Pivot tableOverview · splits 43 ⟂ 6
Pivot tableMechanics · splits 46 ⟂ 3
Pivot tableImplementation · splits 46 ⟂ 3
Pivot tableOnline analytical processing · splits 46 ⟂ 3

Map overview Semantic statistics

Pivot table

Nodes49
Edges48
Triples134
Avg. degree1.96
Density0.040816
Components1

Source & methodology

TTTA analyzes the structure around Pivot table to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Pivot table · EN edition · Analysis: TopicsToTalkAbout

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