📄️ Detect Outliers
The Detect Outliers transform allows you to identify unusual or extreme values in your numerical data. This is crucial for understanding data quality, preparing data for analysis, and identifying potentially interesting or problematic data points.
📄️ Handle Outliers
The Handle Outliers transform allows you to treat or remove outliers in your numerical data that have been identified by a previous outlier detection step. This is crucial for preparing data for analysis and ensuring that extreme values don't unduly influence your results.
📄️ Infer Data Type
The Infer Data Type transform automatically detects and converts columns to more appropriate data types based on their content. This optimization can improve memory usage and enhance the accuracy of your data representation.
📄️ Change Data Type
The Change Data Type transform allows you to manually convert columns in your dataset to specific data types. This is useful for ensuring your data is represented in the most appropriate format for analysis or to correct any misidentified data types.