- Learning pandas(Second Edition)
- Michael Heydt
- 101字
- 2021-07-02 20:37:01
Quantitative versus qualitative data/analysis
Qualitative analysis is the scientific study of data that can be observed but cannot be measured. It focuses on cataloging the qualities of data. Examples of qualitative data can be:
- The softness of your skin
- How elegantly someone runs
Quantitative analysis is the study of actual values within data, with real measurements of items presented as data. Normally, these are values such as:
- Quantity
- Price
- Height
pandas deals primarily with quantitative data, providing you with extensive tools for representing observations of variables. Pandas does not provide for qualitative analysis, but does let you represent qualitative information.
推薦閱讀
- Android項目開發(fā)入門教程
- CentOS 7 Linux Server Cookbook(Second Edition)
- 三維圖形化C++趣味編程
- 營銷數(shù)據(jù)科學(xué):用R和Python進行預(yù)測分析的建模技術(shù)
- Python Data Analysis(Second Edition)
- 零基礎(chǔ)學(xué)Python數(shù)據(jù)分析(升級版)
- Visual C++應(yīng)用開發(fā)
- Yocto for Raspberry Pi
- Elasticsearch for Hadoop
- Oracle 12c從入門到精通(視頻教學(xué)超值版)
- 超好玩的Scratch 3.5少兒編程
- Mastering SciPy
- SEO教程:搜索引擎優(yōu)化入門與進階(第3版)
- MySQL數(shù)據(jù)庫應(yīng)用實戰(zhàn)教程(慕課版)
- Keil Cx51 V7.0單片機高級語言編程與μVision2應(yīng)用實踐