October 2017
Intermediate to advanced
480 pages
9h 49m
Japanese
Content preview from Rではじめるデータサイエンス
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9.3
広げたり集めたり
133
1. 例に挙げた表のそれぞれについて、変数と観測がどのように組織化されているかを言葉で説明
しなさい。
2.
table2
と
table4a + table4b
について
rate
を計算しなさい。計算には次の4操作を実行する必
要がある。
a. 年ごと、国ごとに結核の症例数（TB cases）の個数を抽出する。
b. 年ごと、国ごとに合致する人口を抽出する。
c. ケースを人口で割り、10,000を乗じる。
d. 適当な場所に戻す。
どの表現が最も作業しやすいか。どの表現が最も難しいか。それはなぜか。
3.
table1
ではなく
table2
を用いて、ケースの時間経過を示すプロットを再度作りなさい。最初に、
何をしなければならないか。
9.3
広げたり集めたり
整理データ原則はあまりにも自明に思えるので、整理されていないデータがそもそもあり得るのか
と思うかもしれません。残念ながら、ほとんどのデータが整理されていません。
2つの理由があります。
●
ほとんどの人が整理データ原則をよく知らず、データについて長期間作業していない限り自分で
この原則を探すことは容易でない。
●
データは分析以外の用途のために揃えられることが多い。例えば、入力が易しい構成をとること
が多い。
このことから、実際の分析のほとんどで、データを整理する必要があります。第1ステップでは常
に何が変数で何が観測かを見極めます。これはやさしいこともあれば、元々データを作成した人に
尋ねればならないこともあります。 ...
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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.