Results for reformed-data

package with functions for declarative data structure transformations

Tiny form bindings for React

The most up-to-date directory of Reformed churches worldwide.

This is a composition based form generator. Every composed form is also [reformed](https://github.com/davezuko/react-reformed), allowing for easy model bindings.

Tiny form bindings for React

ValOS Sourcerer API, schema

Simple form validation

data api client for epub

Hunspell dictionaries for Vietnamese

React redux forms made simple

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A Christian wrapper for Git to sanctify your version control workflow. ✝️

Shire Reckoning ===============

HTML forms the way you want them

ValOS Prophet API, schema

A library to create readable "multipart/form-data" streams. Can be used to submit forms and file uploads to other web applications.

The compat-data to determine required Babel plugins

A package to reform error with a custom in-build error class. Handle reformed error with a event listener.

Define a data property on an object. Will fall back to assignment in an engine without descriptors.

A search engine right inside your terminal

Process execution for humans

Open Web data by the Mozilla Developer Network

Node.js releases data

A simple key/value storage using files to persist the data

Geoptima is a suite of applications for measuring and locating mobile/cellular subscriber experience on GPS enabled smartphones. It is produced by AmanziTel AB in Helsingborg, Sweden, and supports many phone manufacturers, with free downloads from the various app stores, markets or marketplaces. This Ruby library is capable of reading the JSON format files produced by these phones and reformating them as CSV, GPX and PNG for further analysis in Excel. This is a simple and independent way of analysing the data, when compared to the full-featured analysis applications and servers available from AmanziTel. If you want to analyse a limited amount of data in excel, or with Ruby, then this GEM might be for you. If you want to analyse large amounts of data, from many subscribers, or over long periods of time then rather consider the NetView and Customer IQ applications from AmanziTel at www.amanzitel.com. Current features available in the library and the show_geoptima command: * Import one or many JSON files * Organize data by device id (IMEI) into datasets * Split by event type * Time ordering and time correlation (associate data from one event to another): ** Add GPS locations to other events (time window and interpolation algorithms) ** Add signal strenth, battery level, etc. to other events * Export event tables to CSV format for further processing in excel * Make and export GPS traces in GPX and PNG format for simple map reports The amount of data possible to process is limited by memory, since all data is imported in ruby data structures for procssing. If you need to process larger amounts of data, you will need a database-driven approach, like that provided by AmanziTel's NetView and Customer IQ solutions. This Ruby gem is actually used by parts of the data pre-processing chain of 'Customer IQ', but it not used by the main database and statistics engine that generates the reports.