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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第Ⅴ部
D3
を使ったデータの可視化
第Ⅴ部では、
6
章で
Web
からスクレイピングし
9
章でクリーニングして苦労して手に入れたノー
ベル賞データセットを、素晴らしい
D3
ライブラリを主に使って魅力的な最新のインタラクティ
ブな
Web
可視化に変えます（図
V-1
を参照）。「
13.2
可視化のためのデータの配信」で作成した
RESTful API
を使ってノーベル賞のメインデータセットを配信し、その他のデータは「
12.2
静
的ファイルの配信」で示したように静的に配信します。
ノーベル賞の可視化を順を追って作成し、その過程で
D3
と
JavaScript
の知識を習得していきま
す。まずは、
11
章で得たストーリーを使ってどのような可視化にすべきかをイメージしてみましょ
う。
Python
と
JavaScript
のソースコードは、本書の
GitHub
リポジトリの
nobel_viz
ディレクトリ
にあります（詳細は「
1.1
本書で扱うコード」を参照）。
JSON
JSON
HTML
Wikipediaの
ノーベ ル 賞 の ページ
データベース/ファイル
D3
インタラクティブなノーベル賞の可視化
5. 変形
Flask RESTful API
4. 配信
IPython + pandas + Matplotlib
3. 探索/処理
pandas
2 . クリーニング
Scrapy
1. スクレイピング
図Ⅴ
-1
データ可視化ツールチェーン：データの取得と変換
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.