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A Gentle Introduction to Principal Component Analysis Using Tea-Pots, Dinosaurs, and Pizza
- Source :
-
Teaching Statistics: An International Journal for Teachers . 2024 46(1):38-52. - Publication Year :
- 2024
-
Abstract
- Principal Component Analysis (PCA) is a powerful statistical technique for reducing the complexity of data and making patterns and relationships within the data more easily understandable. By using PCA, students can learn to identify the most important features of a data set, visualize relationships between variables, and make informed decisions based on the data. As such, PCA can be an effective tool to increase students data literacy by providing a visual and intuitive way to understand and work with data. This article outlines a teaching strategy to introduce and explain PCA using basic mathematics and statistics together with visual demonstrations.
Details
- Language :
- English
- ISSN :
- 0141-982X and 1467-9639
- Volume :
- 46
- Issue :
- 1
- Database :
- ERIC
- Journal :
- Teaching Statistics: An International Journal for Teachers
- Publication Type :
- Academic Journal
- Accession number :
- EJ1409073
- Document Type :
- Journal Articles<br />Reports - Descriptive
- Full Text :
- https://doi.org/10.1111/test.12363