August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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438
21 章 終わりに
は、各自の作業に適応させ拡張できる可視化テクニックの例です。
21.3
最終的なまとめ
前節での提言は、
Python
と
JavaScript
の新しいデータ可視化スキルを得るための始まりにすぎ
ません。本書では、現在この分野に広がっている多くの業務で
Web
データ可視化を作成するため
や、単に個人的な願望を満足させるための確かな基盤を提供できていれば幸いです。
Python
の非
常に強力なデータラングリングを生かす能力と
JavaScript
（ここでは特に
D3
）のますます効果的
で成熟した可視化ライブラリに対する汎用的能力は、私が知る最も高価なデータ可視化能力です。
この分野のスキルは既に大いに利益をもたらしていますが、変化の速度と関心の大きさは急速に高
まりつつあります。みなさんがこの刺激的な新興分野で私と同様に充実することを期待していま
す。
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.