Charty (RubyGrant 2018)

by 秒速284km

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Charty (RubyGrant 2018) RubyKaigi 2019 Kazuma Furuhashi ඵ଎@284km

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Ruby Association Grant 2018 • 12/1 => Development • 1/11 => Intermediate Report • 3/11 => Final Report • https://www.ruby.or.jp/en/news/20181106

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Charty

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What is Charty • Charty is an open-source Ruby library for visualizing your data in a simple way. • https://github.com/red-data-tools/charty

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red-data-tools/charty • In Charty, you need to write very few lines of code for representing what you want to do. • It lets you focus on your analysis of data, instead of plotting. • i.e. We aim at convenience.

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Characteristics of charty • Charty has two abstraction layers • Data Abstraction Layer • Plotting Abstraction Layer

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Abstraction Layer We can do what you want in a combination of diﬀerent languages, data structures, and libraries.

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Data Abstraction Layer • Daru::DataFrame • Numo::NArray • NMatrix • ActiveRecord

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Plotting Abstraction Layer • Matplotlib • Gruﬀ • rubyplot • chart.js (Experimental implementation) demo later • 284km/benchmark_driver-output-charty

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284km/benchmark_driver-output-charty $ be benchmark-driver examples/parse.yaml -o charty

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Demo

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Activeecord x Chart.js

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Reference: • holoviews (Python) • Gadﬂy.jl (Julia) • ggplot2 (R) • Julia Package GR (GR Framework) • Python Package GR (GR Framework) • Codes to use via PyCall Library (matplotlib.rb, matplotlib, pyplot ͱ͔) • and so on ……

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Future Plans • Data Abstraction Layer • Support Red::Arrow • Improve benchmark_driver-output-charty • Plotting Abstraction Layer • Add type of graph that can be output • Horizontal bar with Gruﬀ • Support bokeh ? maybe. • Use in business

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Red Data Tools • https://red-data-tools.github.io/ • 5/14 (Ր) 19:00 - 21:30 • Code Party: Today 19:00 - 21:00 • After Hack: Sun. 10:30 - 17:30 • Develop together !!