Group and pivot array data and easily transform matrices into objects
A non-aggregating Vue3 table component for presenting pivot-like data
Pivot table calculation engine for Univer Pro.
Pivot table integration for Univer Sheets.
Pivot table UI integration for Univer Sheets.
The pivot grid, or pivot table, is used to visualize large sets of relational data in a cross-tabular format, similar to an Excel pivot table.
SpreadJS Pivot plugin
The pivot grid, or pivot table, is used to visualize large sets of relational data in a cross-tabular format, similar to an Excel pivot table. for Angular
Pivot table component for web reporting. The most powerful JavaScript tool to visualize your business data.
Vue 3 and Vue 2 wrapper for Flexmonster Pivot Table and Charts
GoodData.UI SDK - Pivot Table
The pivot grid, or pivot table, is used to visualize large sets of relational data in a cross-tabular format, similar to an Excel pivot table. for React
Simple module to pivot an array of objects.
React wrapper for Flexmonster Pivot Table and Charts
Enums for analys toolkit
The pivot grid, or pivot table, is used to visualize large sets of relational data in a cross-tabular format, similar to an Excel pivot table. for Vue
Data processing transforms for Vega dataflows.
A cross-table-pivot analytics tool
Angular wrapper for Flexmonster Pivot Table and Charts
SpreadJS Pivot plugin
Compose SDK package for interfacing with the pivot backend service in Sisense
Excel Workbook Manager - Temporary fork with pivot table enhancements and bug fixes pending upstream merge
Superset Chart - Pivot Table
Compose SDK package containing Pivot Table UI elements
Great for building APIs & reports
A multi-dimensional semantic layer on top of ActiveRecord that allows running pivot table queries and rendering them as CSV, HTML, or KickChart-ready hashes. Supports time dimensions, cohort analysis, custom rollups, and drilling through to the underlying ActiveRecord objects.
Transform an ActiveRecord-ish data set into a pivot table of objects
pivottable is a jQuery plugin to build Pivot Table with your data. The `pivottable-rails` gem integrates the `pivottable` jQuery plugin with the Rails asset pipeline.
Ruby Cloud SDK wraps Aspose.Cells REST API so you could seamlessly integrate Microsoft Excel® spreadsheet generation, manipulation, conversion & inspection features into your own applications. Aspose.Cells Cloud for Ruby enables you to handle various aspects of Excel files, including cell data, styles, formulas, charts, pivot tables, data validation, comments, drawing objects, images, hyperlinks, and so on. Additionally, it supports operations such as splitting, merging, repairing, and converting to other compatible file formats.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None
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