0.2.5 (2019-02-25)

Fixes:

Fixed Rubocop offenses coming from version 0.60 #125 (by @Shekharrajak)
Updated README.md and Contribution Guide #129, #131, #133, #139, #141 (by @Shekharrajak)
Removed the duplicate highcharts.css #145 (by @snpd25)
[Majaor Fix] Windows installation error fix #147 (by @kojix2 & @Shekharrajak)

0.2.4 (2017-08-29)

Major Enhancements:

Added Highstock feature of HighCharts plotting: #89 (by @Prakriti-nith)
Added HighMaps feature of HighCharts plotting: #92 (by @Prakriti-nith)
Added Custom Styling CSS feature of HighCharts plotting: #93 (by @Prakriti-nith)
Exporting HighCharts to different formats: #94 (by @Prakriti-nith)
Added ChartWrapper feature of GoogleCharts: #95 (by @Prakriti-nith)
Import data from google spreadsheet: PR #88 (by @Prakriti-nith)
Added ChartEditor feature of GoogleCharts plotting: #96 (by @Prakriti-nith)
Multiple Charts having different (or same plotting library) in a single row(or in single cell in IRuby notebook): #97 (by @Prakriti-nith)
Different formatters feature of GoogleCharts: #110 (by @Prakriti-nith)
Require dependent JS for the plotting libraries GoogleCharts/HighCharts/DataTables in Rails application.js file: #115 (by @Prakriti-nith)

Minor Enhancements:

Exporting charts in PNG formate for GoogleCharts: #98 (by @Prakriti-nith)
Handling Events in GoogleCharts: #100 (by @Prakriti-nith)
Added a method to load dependent scripts for multiple adapters: #107 (by @Prakriti-nith)
Rake Task to add new adapter templates: #112 (by @Prakriti-nith)
(by @Prakriti-nith)
export_html method, generate_html method is implemented and load large set of data piece by piece using datatables adaptor: #104 (by @Prakriti-nith)

Fixes:

Note:

Features:

Generate Plot using Nyaplot, google_visualr, lazy_high_charts gem with more features.
Generate Tables using Google Charts DataTable and daru-data_tables with features like pagination, sorting by column, option to choose number of rows to be displayed.
Plotting can be done in IRuby notebook as well as any ruby web application framework.
Data can be in Daru::DataFrame, Daru::Vector, array of array data or according to the formate described in Google Charts tool, Highcharts.
User can use all the features already present in google_visualr, lazy_high_charts, nayplot by accessing the respective object using #chart and tables using #table.
The article written about initial features briefly : https://github.com/shekharrajak/daru-view/wiki/All-about-daru-view