Topic: Non-Transitivity Property of Pearson's Correlation Coefficient
Team Members:
This repository houses the code scripts, as well as the datasets that we utilized in this short research as we attempt to find a real-world/real-life example/sample to showcase the non-transitivity property of Pearson's correlation coefficient between 3 random variables.
These are the available flags and options:
$ python3 main.py --help
Usage: main.py [-h] -f FILE [-t [THRESHOLD]] [-o OUTPUT]
Conveniently select appropriate/relevant triplets of random variables to
demonstrate the non-transitivity property of Pearson's correlation
coefficient.
Options:
-h, --help show this help message and exit
-f FILE, --file FILE, --dataset FILE, --csv FILE
the CSV dataset input file to be processed (default:
None)
-t [THRESHOLD], --threshold [THRESHOLD]
the threshold for the correlation coefficient strength
to be considered/taken into account (default: 0.7)
-o OUTPUT, --output OUTPUT
the base non-indexed output image filename to save the
correlation matrix plot(s) to (default: None)- IEEE dataset obtained from this research paper.
- Top 100 most valuable GitHub repositories list obtained from this article.
- Kaggle housing prices dataset obtained from either here or here (they have the same training dataset).
- India's graduate admissions dataset obtained from here.
- Financial indicators of US stocks (2018) dataset obtained from here.
- Pokemon dataset obtained from here.
- Rolling correlation matrix of the prices of cryptocurrencies over time can be retrieved from here.
- Latest worldwide COVID-19 per-country statistics (retrieved on 11 March 2021) provided by Our World in Data here.