Populate an array of objects with a set of properties
Simple functional programming utility & Misc programming tool
Populates your cspell.json dictionary with existing unknown words. 🔖
Populate a <canvas> element with a font texture atlas
Parse HTTP request cookies
Excel XLSX parser/generator written in JavaScript with Node.js and browser support, jQuery/d3-style method chaining, and a focus on keeping existing workbook features and styles in tact.
Populates `extends` reference in configs
Array manipulation, ordering, searching, summarizing, etc.
This module allows you to 'populate' a mongoose model where the relationship ids are stored on another mongoose model that is related to this model
Which kind of Typed Array is this JavaScript value? Works cross-realm, without `instanceof`, and despite Symbol.toStringTag.
An ES7/ES2016 spec-compliant `Array.prototype.includes` shim/polyfill/replacement that works as far down as ES3.
Robustly get the byte offset of a Typed Array
`Array.prototype.concat`, but made safe by ignoring Symbol.isConcatSpreadable
Get the ArrayBuffer out of a TypedArray, robustly.
Robustly get the byte length of a Typed Array
A simple list of possible Typed Array names.
Is this value a JS SharedArrayBuffer?
Is this value a JS ArrayBuffer?
Get the byte length of an ArrayBuffer, even in engines without a `.byteLength` method.
Robustly get the length of a Typed Array
An inverted index that allows javascript objects to be easily serialised and retrieved using promises and map-reduce
General purpose glob-based configuration matching.
Always populate() certain fields in your mongoose schemas
Is this value a JS Typed Array? This module works cross-realm/iframe, does not depend on `instanceof` or mutable properties, and despite ES6 Symbol.toStringTag.
Add a :nav option to Rails routes mapper 'resources' method, that adds the resource to an array. It can be used to populate a navigation menu.
== 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