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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436
21 章 終わりに
なデータ処理ツールが次々に出現しています。
Python
の
WiKi
には包括的なリストがあります
（
https://wiki.python.org/moin/NumericAndScientific
）。可視化に利用できるアイデアを次に示
します。
21.2.1
ソーシャルメディアネットワークの可視化
ソーシャルメディアの出現により膨大な量の興味深いデータが提供されています。その多く
は
Web API
やスクレイピング可能な形式で入手できます。また、スタンフォード大学の
Large
Network Dataset Collection
（
https://snap.stanford.edu/data/
）や
UCIrvine
コレクション
（
https://networkdata.ics.uci.edu/resources.php
）などのソーシャルメディアデータを集めたも
のもあります。このようなデータセットは、人気が高まりつつある分野のネットワーク可視化での
冒険の簡単なテスト基盤を提供できます。
ネットワーク分析用の最も人気のある
2
つの
Python
ライブラリは、
Graph-tool
（
https://
graph-tool.skewed.de/
）と
NetworkX
（
https://networkx.github.io/
）です。
Graph-tool
の方が
最適化されていますが、おそらく
NetworkX
の方が使いやすいでしょう。どちらのライブラリも
一般的な
GraphML
（
http://graphml.graphdrawing.org/ ...
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