November 2017
Intermediate to advanced
328 pages
6h 51m
Japanese
Content preview from 入門 PySpark ―PythonとJupyterで活用するSpark 2エコシステム
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66
4
章 データのモデリングの準備
本セクションで紹介したメソッドを身につければ、きわめて巨大なデータセットであっても素早くク
リーンアップできるでしょう。
4.2
データに馴染む
とてもお勧めできるやり方ではありませんが、データに関する知識なしでモデルを構築することもで
きます。この場合、おそらく時間がかかるうえに結果として得られるモデルの質は最適なものとは言え
なくなるかもしれません。とはいえ、そうすることが不可能というわけではありません。
このセクションでは
http://packages.revolutionanalytics.com/datasets/ccFraud.csv
から
ダウンロードできるデータセットを使います。データセットそのものは変更されていません
が、同じデータを
GZip
して
http://tomdrabas.com/data/LearningPySpark/ccFraud.csv.gz
にアップロードしてあります。まずファイルをダウンロードして、本章のノートブックがある
フォルダに保存してください。
データセットの最初の部分は次のようになっています。
真剣なデータサイエンティストやデータモデラーは、モデリングを開始する前にこのようにしてデー
タセットを知り始めます。通常は、扱うデータセットの感触をつかむための手始めとして多少の記述統
計を見てみることになります。
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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.