covert html table to excel
Small react component for converting and downloading HTML table to Excel file
Small react component for converting and downloading HTML table to Excel file
Export HTML Table to excel with style
Small react component for converting and downloading HTML table to Excel file
Convert html table to excel
Small react component for converting and downloading HTML table to Excel file
Small react component for converting and downloading HTML table to Excel file
Small react component for converting and downloading HTML table to Excel file
Small react component for converting and downloading HTML table to Excel file
This library helps to convert and download html table to excel and csv files
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
Provides exporting support for @angular/material tables
Read `.xlsx` files in a web browser or in Node.js
Download your JSON as an excel or CSV file directly from the browser
A react library to render and display excel sheets on webpage
html table export
Excel (XLSB/XLSX/XLSM/XLS/XML) and ODS spreadsheet parser and writer (extended to enable read/write of cell formats with xlsx files)
Essential Javascript 2 Excel Export Library
Kendo UI for Angular Excel Export component
Advanced html to plain text converter
micromark extension to support GFM tables
Write simple `*.xlsx` files in a browser or Node.js
mdast extension to parse and serialize GFM tables
convert your csv data and html tables to excel data
A tabular data structure in Ruby, with header-based helper methods for analysis and editing, and some of Excel's API style. Can output as 2D Array, HTML Table, CSV, TSV, or an Excel WIN32OLE Object
convert your csv data and html tables to excel data
Use GrabzIt to convert HTML or URL's into images, PDF, videos, rendered HTML or DOCX. These captures have highly customizable options include altering quality, delay, size, browser type, geographic location and much more. Additionally GrabzIt can even convert HTML tables on the web into a CSV or Excel spreadsheet. As well as enabling online video's to be converted into animated GIF's.
Ruby gem to create a data table that can be easily presented as HTML or Excel with the same human-friendly display styles applied to both. Unstyled formats like CSV are supported as well.
This library performs diffs of CSV data, or any table-like source. Unlike a standard diff that compares line by line, and is sensitive to the ordering of records, CSV-Diff identifies common lines by key field(s), and then compares the contents of the fields in each line. Data may be supplied in the form of CSV files, or as an array of arrays. The diff process provides a fine level of control over what to diff, and can optionally ignore certain types of changes (e.g. changes in position). CSV-Diff is particularly well suited to data in parent-child format. Parent- child data does not lend itself well to standard text diffs, as small changes in the organisation of the tree at an upper level can lead to big movements in the position of descendant records. By instead matching records by key, CSV-Diff avoids this issue, while still being able to detect changes in sibling order. This gem implements the core diff algorithm, and handles the loading and diffing of CSV files (or Arrays of Arrays). It also supports converting data in XML format into tabular form, so that it can then be processed like any other CSV or table-like source. It returns a CSVDiff object containing the details of differences in object form. This is useful for projects that need diff capability, but want to handle the reporting or actioning of differences themselves. For a pre-built diff reporting capability, see the csv-diff-report gem, which provides a command-line tool for generating diff reports in HTML, Excel, or text formats.
== 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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