时间
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
本页面记录了时间规范概念数据集。通过
完整的 XML 文件也可供审核。
基本信息
提供商
导入的命名空间
未导入任何命名空间。
主题
未定义任何主题。
概念
概念:time_point
时间点 [XML] |
时间点 |
date |
具有指定粒度的时间点。 |
|
没有本地房源。 |
概念:年份
年份 [XML] |
年份日期 |
time_point |
按年细分的日期。年份概念通常直接用于
来定义包含年份的维度。对于
例如,按国家/地区划分年度人口的切片定义为
如下:
<slices>
<slice id="country_slice">
<dimension concept="country"/>
<dimension concept="time:year"/>
<metric concept="population"/>
<table ref="country_slice_table"/>
</slice>
</slices>
此切片的表定义定义如下:
<tables>
...
<table id="country_slice_table">
<column id="country" type="text"/>
<column id="year" type="date" format="yyyy"/>
<column id="population" type="integer"/>
<data>
<file format="csv" encoding="utf-8">country_slice.csv</file>
</data>
</table>
...
</tables>
而此表的 CSV 文件中包含的数据将如下所示:
country, year, population
AF, 1960, 9616353
AF, 1961, 9799379
AF, 1962, 9989846
AF, 1963, 10188299
...
|
|
没有本地房源。 |
概念:季度
概念:月
概念:周
概念:日期
概念:粒度
切片
未定义任何切片。
表
表:grading_table
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2024-09-12。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2024-09-12。"],[[["This page introduces the Google date and time dataset, focusing on the \"time\" canonical concept."],["The dataset defines various time granularities like year, quarter, month, week, and day, all extending the core \"time_point\" concept."],["Each time granularity concept can be used as a dimension in data slices, allowing for analysis across different time periods."],["A comprehensive XML file and a CSV file for granularities are provided for detailed dataset structure and values."],["The dataset is designed to standardize the representation of time within Google Public Data and can be leveraged for time-based data analysis."]]],["This document details the \"time\" canonical concept dataset from Google, available in XML format. It defines the core concept of `time_point` and specifies time granularities: `year`, `quarter`, `month`, `week`, and `day`. Each time concept extends `time_point` and has a granularity attribute (YEARLY, QUARTERLY, MONTHLY, WEEKLY, DAILY). It provides an example of how to define a slice with the year concept and references the granularity table, which defines the uncertainty of a point in time. The dataset is provided by Google.\n"]]