allows to rearrange the columns of csv files
AG Grid Styles and Themes
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
A tool concentrating on converting csv data to JSON with customised parser supporting
A lightweight, dependency-free JavaScript HTML table plugin.
CSV parser and writer
fast-csv formatting module
CSV parsing implementing the Node.js `stream.Transform` API
fast-csv parsing package
TypeScript definitions for objects-to-csv
CSV stringifier implementing the Node.js `stream.Transform` API
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
A mature CSV toolset with simple api, full of options and tested against large datasets.
A webpack module to intelligently load csv files.
AG Grid Vue 2 Component
react-native-csv is the fastest CSV (or delimited text) parser for React Native.
TensorFlow Data API in JavaScript
A command-line client for Testiny
CSV and object generation implementing the Node.js `stream.Readable` API
Converts an array of objects into a CSV file. Saves CSV to disk or returns as string.
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Parse JSON with more helpful errors
Free, animated React components built with TypeScript. Zero config, RSC-safe, sub-12 KB. Gradient button, popover, text morph and more.
Easily create CSV data from json collection
Stack CSV files on top of each other. Unlike csvstack, checks column names and reorders if necessary.
== 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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