The goal of this project was to investigate how variables are correlated by creating a correlogram using the corr()Dataframe method.

Correlation is used to test relationships between numerical and categorical variables. In other words, it is a measure of how things are related to one another.

Correlation coefficients measure the relationship between variables or features in a dataset. These statistics are critical in science and technology, and Python has excellent tools for calculating them. Correlation methods in SciPy, NumPy, and Pandas are fast, comprehensive, and well-documented.

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