https://www.coursera.org/lecture/data-analysis-with-python/turning-categorical-variables-into-quantitative-variables-in-python-7w5xB

University of Michigan - Ann Arbor

https://online.stat.psu.edu/stat200/lesson/1/1.1/1.1.1

Categorical vs. Quantitative Data

Turning Categorical Data to Quantitative Data

The package category_encoders (https://contrib.scikit-learn.org/category_encoders/) implements most mainstream categorical variables encoders in Python, including One-hot encoder, Binary encoder, Hashing encoder, etc. 

Categorical Variables Encoding in Python

Categorical variable: data represent groups
Examples: rankings, binary outcomes
Formal definition: Names or labels (i.e., categories) with no logical order or with a logical order but inconsistent differences between groups (e.g., rankings), also known as qualitative.

Quantitative variable: data represent amounts
Examples: height, weight, or age
Formal definition: Numerical values with magnitudes that can be placed in a meaningful order with consistent intervals, also known as numerical.

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