correlation_matrix
Get the correlation matrix of an input dataset.
The correlation matrix provides a view of how different variables in your dataset relate to one another. By quantifying the degree to which variables move in relation to each other, this matrix can help identify patterns, trends, and potential areas for deeper analysis. The correlation score ranges from -1 to 1, with -1 indicating a perfect negative correlation, 0 indicating no correlation, and 1 indicating a perfect positive correlation.
Parameters
- standard
data: ForwardRef('Data') | ForwardRef('DataFrame') | ForwardRef('Series') | ForwardRef('ndarray') | dict | list
method: Literal['pearson', 'kendall', 'spearman']
Default: pearson
chart: bool
Default: False
Returns
results: list[Data]
Serializable results.
provider: str
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard