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Ⅲ部
pandas
を使った
データの クリーニングと探 索
第Ⅲ部はツールチェーンの第
2
段階であり（図Ⅲ
-1
を参照）、
6
章で
Scrapy
を使ってスクレイ
ピングしたノーベル賞データセットをまずクリーニングしてから、関心のある貴重な情報を探しま
す。ここで使う主なツールは、重要な
Python
ライブラリである
Matplotlib
と
pandas
です。■
7
章と
8
章で、
pandas
とその基本要素の
NumPy
を紹介します。
9
章では、
pandas
を使って
ノーベル賞データセットをクリーニングします。そして、
11
章では
Python
のプロットライブラ
リ
Matplotlib
と連携してデータセットを探索します。
第Ⅳ部では、
Python
の
Flask Web
サーバを使って新たにクリーニングしたノーベル賞データ
セットをブラウザに配信する方法を説明します。
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Ⅲ
-1
データ可視化ツールチェーン：データのクリーニングと探索
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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.