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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
41
Source areas
6
Connected nodes
47
Extracted relationships
98
Related term clusters
16
Bridge connections
47

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 · 19 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.

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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

History

Mechanics

Implementation

Application support

Online analytical processing

For the semantics nerds

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

Advanced semantic analysis

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, Furthermore, Insert, Item, Microsoft Excel, North, Per, Pivot, Pivot Chart, Region, Sales, Ship, Ship Date, South, Total Another extracted example is Pivot table → Bill Jelen, Borland, Brio Technology, DataPivot, Improv, Lotus Development, Lotus Improv, Macintosh, Mike Alexander, NeXT, Pito Salas, Pivot Table Data Crunching, Quattro Pro, Salas, With Improv. Use these groups to spot repeated connection types before inspecting the individual relationships.

Pivot table

Top relations

related to Implementation · 24
Pivot table → Based, Color, Date, E2, E7, East, Furthermore, Insert, Item, Microsoft Excel, North, Per, Pivot, Pivot Chart, Region, Sales, Ship, Ship Date, South, Total
related to history · 15
Pivot table → Bill Jelen, Borland, Brio Technology, DataPivot, Improv, Lotus Development, Lotus Improv, Macintosh, Mike Alexander, NeXT, Pito Salas, Pivot Table Data Crunching, Quattro Pro, Salas, With Improv
related to Database support · 12
Pivot table → CONNECT, Database, MariaDB, Microsoft Access, Microsoft SQL Server, MySQL, PIVOT, PostgreSQL, SQL, SQL Server, SQLite, 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 Online analytical processing · 7
Pivot table → Analysis, Excel, Excel's PivotTable, Microsoft's Analysis Service, OLAP, XML, XMLA
has application · 6
Pivot table → Ajax, JavaScript UI, Pivot, Several JavaScript UI, Webix, ZK
related to Columns · 6
Pivot table → Column, Grand, Grand Total, Sales Person, Salesperson, Total
related to Rows · 5
Pivot table → Grand Total, Pivot, Row, Sales Person, Salesperson
is a · 3
Pivot table → outcome of the statistical processing of tabularized raw data and can be used for decision-making.Although pivot table is a generic term, simple client of an OLAP server, table of values which are aggregations of groups of individual values from a more extensive table
related to Mechanics · 3
Pivot table → Region, Ship Date, Units

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 98 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 Related term clusters

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 table — Application support · splits 28 ⟂ 20
Pivot table — History · splits 36 ⟂ 12
Pivot table — Overview · splits 42 ⟂ 6
Pivot table — Mechanics · splits 45 ⟂ 3
Pivot table — Implementation · splits 45 ⟂ 3
Pivot table — Online analytical processing · splits 45 ⟂ 3

Map overview Semantic statistics

Pivot table

Nodes48
Edges47
Triples98
Avg. degree1.96
Density0.041667
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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