November 2023
Intermediate to advanced
512 pages
11h 53m
Chinese
Content preview from 利用 Python 进行数据分析：原书第 3 版
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395
第 13 章
数据分析案例
本章，我们来看一些真实世界的数据集。对于每个数据集，我们会用之前介绍的方法，
从原始数据中提取有意义的内容。展示的方法也适用于其他数据集。本章包含各式各样
的示例数据集，可以用本书学习过的工具进行练习。
示例数据集可以在本书的
GitHub
仓 库（
https://github.com/wesm/pydata-book
）找到。
如果读者无法访问
GitHub
，还可以访问
Gitee
上的镜像（
https://gitee.com/wesmckinn/
pydata-book
）。
13.1
来自
1.USA.gov
的
Bitly
数据
2011
年，短网址服务商
Bitly
（
https://bitly.com/
）跟美国政府网站
USA.gov
（
https://
www.usa.gov/
）达成了合作，提供了一份从
.gov
或
.mil
生成短网址的用户那里收集的匿
名数据。在
2011
年，除实时数据之外，还可以下载文本文件形式的每小时快照。
2022
年，这项服务已经关闭，但我们保存一份数据用于本书的案例。
以每小时快照为例，文件中各行的格式为
JSON
，这是一种常用的
Web
数据格式。例
如，如果我们只读取某个文件中的第一行，那么结果应该是下面这样：
396
|
第
13
章
Python
有内置以及第三方模块可以将
JSON ...
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