September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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170
｜
第
5
章
5.4
使用
Amazon QuickSight
创建数据仪表
QuickSight
是一个托管的、易于使用的无服务器商业分析服务，我们可以利用其迅
速构建强大的数据可视化。
QuickSight
自动发现我们
AWS
账号下的数据源，包括
MySQL
，
Salesforce
，
Amazon Redshift
，
Athena
，
S3
，
Aurora
，
RDS
以及更多。
让我们使用
QuickSight
来为
Amazon
客户评价数据集创建一个大屏。只需要几步点
击，我们可以可视化每个产品类别获得的评价数，并可以通过任何设备甚至是手机
来查看。通过
QuickSight Python SDK
，我们可以在数据接入之后自动刷新大屏。使
用
QuickSight UI
，我们可以看到数据集中的失衡，如图
5-12
所示。
图 5-12：在 QuickSight 中可视化每个产品类别获得的评价数
Books
和
Digital_Ebook_Purchase
产品类别至今含有最多的评价。我们会在下一章
为训练模型准备数据集时，更详细地分析并解决数据失衡。
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