datasci.js v0.2.1

datasci.js - The JavaScript Data Library

datasci.js is a analytics library for JavaScript. The library contains sophisticated implementations of a Table and useful statistical functionality to interact with data. The Table implementation allows SQL-like interaction. datasci.js also holds functionality to turn Tables directly into charts.

Usage

Installation

node.js: Install the package and import the library.

npm install datasci.js

var sci = require("datasci.js")

Browser: Include the JavaScript library in your HTML page.

<script src="build/datasci.js-full-min.js"></script>

Classes

This is a list of all currently usable classes and modules in the library.

• sci.table
  • CoreColumnTable
  • AnalyticsTable
• sci.data
  • Set
  • OrderedSet
  • HashMap
  • vec (module, contains various functions to work on arrays/vectors)
• sci.io
  • CSVParser
• sci.smooth
  • ma (module, contains moving average smoothing functionality)
  • es (module, contains exponential smoothing functionality)

Examples

Creating a table and adding rows to it.

var table = new sci.table.AnalyticsTable({
    fields: ["id", "name", "city", "age"],
    types: ["number", "string", "string", "number"]
});

table.addRow([1, "Max", "Mustermann", 23]); // works
table.addRow([2, "John", "Doe", 26]); // works
table.addRow([3, "John", "Doe", "blank"]); // throws type-mismatch error

console.log(table.rows()); // prints an array containing all rows

Calculate a average age of persons from a city.

var table = new sci.table.AnalyticsTable({
    fields: ["id", "name", "city", "age"],
    types: ["number", "string", "string", "number"]
});

// fill some data...

var result = table.groupBy("city", table.agg.avg("age", "average_age");
console.log(result.rows());

Contributing / Development

# install dependencies
npm install

# build the library
grunt build

# run mocha tests
grunt test

# run linter
grunt test-and-lint

# create minified sources
grunt release