> For the complete documentation index, see [llms.txt](https://docs.telm.ai/academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.telm.ai/academy/correctness/numerical-discrete-or-continuous.md).

# Numerical (Discrete or Continuous)

Numerical data is where the values are represented as numbers. 

This can be a measurement of some sort (Quantitative) number. For example, price, quantity, temperature, length, etc. 

or 

non-measurement (Qualitative) numbers for examples : student\_ID, product\_SKU, major\_Code, etc.

Telmai can offer: 

Distribution analysis and outlier detection based on value range (out of range analysis) and/or format (integer/float, signed/unsigned, decimal precision, …) 

Positive/negative or Integer/Float values 

Stats Frequency analyzer to identify placeholders or over-represented data