- Feature Engineering Made Easy
- Sinan Ozdemir Divya Susarla
- 81字
- 2021-06-25 22:45:54
The four levels of data
We already know that we can identify data as being either qualitative or quantitative. But, from there, we can go further. The four levels of data are:
- The nominal level
- The ordinal level
- The interval level
- The ratio level
Each level comes with a varying level of control and mathematical possibilities. It is crucial to know which level data lives on because it will dictate the types of visualizations and operations you are allowed to perform.
推薦閱讀
- 在你身邊為你設計Ⅲ:騰訊服務設計思維與實戰
- Game Development with Swift
- 數據庫應用基礎教程(Visual FoxPro 9.0)
- Spark核心技術與高級應用
- 數據庫程序員面試筆試真題庫
- Python金融數據分析(原書第2版)
- Lego Mindstorms EV3 Essentials
- 大數據架構商業之路:從業務需求到技術方案
- 跨領域信息交換方法與技術(第二版)
- 區塊鏈技術應用與實踐案例
- 貫通SQL Server 2008數據庫系統開發
- 聯動Oracle:設計思想、架構實現與AWR報告
- 云原生架構:從技術演進到最佳實踐
- Arquillian Testing Guide
- MySQL性能調優與架構設計