August 2022
Beginner to intermediate
463 pages
9h 22m
Chinese
Content preview from Tableau Prep即学即用
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38
｜
第
4
章
用考虑任何结构上的变化就可以转而关注度量。同样，还需要评估度量，以确保每
个度量在数据集中都有独立的列。
图
4-1
中的数据集已在图
4-2
中进行了着色，以突出其结构。
•
前两个列头：维度列的头部。
•
第一列的值和按月划分数据的列头：分类值。
•
第二列的值：度量（
Measure
）列的列头。
•
其他：度量列的数值。
图
4
-
2
：按维度和度量分列的数据集
通过突出输入数据集的结构，可以更清楚地看到需要进行哪些更改。一旦理解了这
些，塑造数据分析的过程就会变得更快。
4.2
什么数据形态最适合在
Tableau
中进行分析
当数据加载到
Tableau Desktop
中时，软件会将第一行数据设置为各列的列头，而随
后的所有行则设置为这些列头的数据
注
1
。以下是在为
Tableau Desktop
构建数据时
需要考虑的几个关键问题：
•
每个数据字段是否有一个单独的列？这些列将形成数据字段，然后在
Tableau
Desktop
中拖放。
•
数据字段是维度还是度量？
Tableau Desktop
将把所有数据字段划分为
dimension
（维度，即
Category[
数据类别
]
）和
Measures
（度量，即要分析的数值）。
注
1
：
对于有
Excel
数据源的数据解释器来说，情况并非如此。此时数据解释器分析工作表以
返回工作表所包含数据表格的内容。
塑造数据
｜
39
•
每个数据字段是否只有一种数据类型？
Tableau
（以及大多数其他工具）中的数
据字段需要一个单一的数据类型。度量必须是整数或浮点数据类型才能对其进
行分析。
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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.