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Ⅱ部
データの取得
第Ⅱ部では、データ可視化ツールチェーン（図Ⅱ
-1
を参照）に沿った話題に取りかかります。
まずは、データが提供されていなかった場合にデータを取得する方法を
2
つの章で説明します。
■
5
章では、
Web
からデータを取得する方法を示します。
Python
の
requests
ライブラリを使い、
Web
ベースのファイルを入手して
RESTful API
を利用します。また、より複雑な
WebAPI
を包み
隠す（ラップする）
2
つの
Python
ライブラリ、すなわち（
Python
の
Tweepy
を使った）
Twitter
と
Google Docs
の使い方を説明します。
5
章の最後には、
BeautifulSoup
ライブラリでの軽量
Web
スクレイピング（
https://ja.wikipedia.org/wiki/
ウェブスクレイピング）の例を示します。
6
章では、
Python
の高性能
Web
スクレイパーの
Scrapy
を使い、
Web
可視化に使用するノーベ
ル賞データセットを入手します。このダーティ（未整理）なデータセットが手に入ったら、次の第
Ⅲ部にいつでも進めます。
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
JSON
JSON
HTML
図Ⅱ
-1
データ可視化ツールチェーン：データの取得 ...
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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.