September 2013
Intermediate to advanced
264 pages
5h
Chinese
Content preview from Bad Data 技術手冊
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1
第一章
調整步伐：什麼是壞資料？
我們都會
說
我們喜歡資料，但實際上並不是這樣。
我們喜歡從資料中
取得洞見
。這跟喜歡資料本身是不太相同的。
事實上，我敢說我根本不太在乎資料。而我想有人也是跟我一樣的。
要給「壞資料」這詞一個精確的定義是有些困難的。有些人將它視為純粹是一個實際的
技術性現象：遺失值、無組織的記錄以及不一致的檔案格式。當然，這代表了壞資料的
一部份，但它代表的更多。它包含了消耗你的時間、導致你在辦公室加班並且讓你極度
挫折的資料。它是你無法存取的資料、你擁有接著又失去的資料、今天跟昨天變成不一
樣的資料等。
簡短來說，壞資料是那些
妨礙你的資料
。有許多的原因會造成這個狀況，從不穩定的儲
存設備到貧乏的展示層或錯誤的政策都有可能。若你在資料科學領域中待得夠久，那麼
你就一定會遭遇到這類的問題。
最終，我們決定要撰寫這本《
Bad Data
技術手冊
》，將一些造成資料問題的原因整理出
來。我們找了 19 位在資料領域的專家，談論他們是如何被資料的問題困惑以及最後是
如何解決的心得。
分章節來說：
動手做的指南
你不能假設新的資料集合是乾淨且能馬上被分析的。在 Kevin Fink 的「
是只有我這
樣
，
還是這個資料本身令人感到有趣
？」（ 第 2 章）提供了數個技巧來測試資料。
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2
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第一章：調整步伐：什麼是壞資料？ ...
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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.
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.