September 2013
Intermediate to advanced
264 pages
5h
Chinese
Content preview from Bad Data 技術手冊
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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.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.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.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.
時間序列資料
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注意，當累積的分佈圖形的垂直軸使用線性比例，那麼分佈的圖形就會使用指數—指數
對的比例。整體來說，這個資料集合看起來很合理，擁有一個好的平滑曲線而沒有大的
不連續處。多數的文章會較少被推薦，約有 300,000 篇文章得到單一次的推薦。當被推
薦的數量增加時，文章的數量馬上下降，大約半數的文章擁有 7 個或更少的推薦。而最
受歡迎的文章大約被推薦了 1,800 次。
我們可以用這個分析，來在不同的演算法所產生出來的推薦集合上執行，藉此瞭解該演
算法的行為。舉例來說，若一個新的演算法提供較廣的分佈，我們知道將有更多的文章
會不平均的被推薦。或者是若分佈完全不同—例如以平均推薦數量（在我們的範例中是
10 個）為中心的鐘型曲線—那麼推薦將會被分佈為非常平均。
時間序列資料
儘管對於時間序列資料來說，使用統計直方圖通常不太合理，但類似的視覺化技巧是有
用的，特別是當資料能夠從不同的面向被聚合時。舉例來說，網頁伺服器記錄能夠被聚
合為每天、每小時或是每分鐘的網頁瀏覽次數，然後就可將其視為是時間序列資料。這
對於要尋找遺失的資料特別有用，這類的遺失資料若沒有處理得當，通常會對某些分析
的結論造成不好的影響。
多數的網站擁有者喜歡用網站的流量來偵測網站上的問題、行銷活動的效益、搜尋引擎
的最佳化或是類似的效益。對許多網站而言，造成流量變更並且跟網站本身完全無關的
因素是非常複雜的。某些因素，如季節性，是可被預測且無法避免的，所以就可以不用
因為這類因素而想辦法調整網站。季節性的問題是很特別的，它會因為網站部分功能的 ...
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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.