Question
Which technique is most appropriate to handle skewed
numerical data in a dataset?Solution
Log transformation is effective for handling skewed numerical data, as it compresses large values and stretches smaller ones, reducing skewness and stabilizing variance. It ensures the data conforms to normality, which many statistical methods and machine learning algorithms assume. Transformations like square root or cube root are alternative options for specific distributions. Why Other Options Are Wrong : B) One-hot encoding is for categorical data, not numerical skewness. C) Normalization rescales data but doesn’t address skewness effectively. D) Replacing outliers addresses extreme values but doesn’t fix overall skewness. E) Removing skewed columns discards valuable information and reduces dataset size.
National Centre for Integrated Pest Management is situated at
Safe seed moisture content for sealed storage is
The production process of coffee beans from the farm to the factories for processing through different roasting grades and finally to the coffee consume...
Potassium in Muriate of Potash (MOP) is present in the form of
Bacterial artificial chromosome may be used for the construction of:
Which one is cole-crop:
Sponging type of mouth parts are found in which insect?
KIsan kredit card (KCC) were launched in india in
Which physiological disorder in cotton is caused by excessive nitrogen and results in vigorous vegetative growth but poor boll formation?
Which one of the following element responsible for pollen development?