export excel from json using angularJs
json export excel
json export excel
json export excel
json export excel
json export excel
json export excel
json export excel
json export excel
Essential Javascript 2 Excel Export Library
Read `.xlsx` files in a web browser or in Node.js
Kendo UI for Angular Excel Export component
React Excel export helps you export and save data to Excel files and customize or filter the output. KendoReact Excel Export package
canonically transform json to an excel document
SpreadJS Excel Import Export
Simple data set export to Excel xlsx file
Node-Excel-Export
Download your JSON as an excel or CSV file directly from the browser
It allows you to export an HTML table just by sending the table reference and the name with which you want the file to be saved
excel-builder-vanilla types
Write simple `*.xlsx` files in a browser or Node.js
Convert Excel to JSON
AG Grid Styles and Themes
TypeScript definitions for convert-excel-to-json
The ExportManager allows users to export data from dynamic tables with dynamic columns. The system provides flexibility in selecting the data to be exported and generates a CSV, JSON, Excel, or XML file accordingly.
MakeExportable is a Rails gem/plugin to assist in exporting application data as CSV, TSV, JSON, HTML, XML or Excel. Filter and limit the data exported using ActiveRecord. Export returned values from instance methods as easily as database columns.
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.
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