Kvantilis

Kvantilis is a term that has emerged in discussions related to socioeconomic analysis and data visualization. It refers to a method of dividing a dataset into a specific number of equal-sized groups, where each group represents a quantile of the distribution. While quartiles divide data into four equal parts and deciles into ten, quantiles can be used for any number of divisions. The term "kvantilis" specifically suggests a division into an unspecified but defined number of parts, often used in contexts where a more granular breakdown than standard quartiles or deciles is desired.

The application of kvantilis can be seen in fields such as economics, where income or wealth data might be divided into numerous equal segments to understand distribution patterns more precisely. Similarly, in statistics, it can be employed to analyze the spread and concentration of various data points within a larger dataset. This approach allows for a detailed examination of how values are distributed across the entire range, highlighting outliers or clusters that might be less apparent with broader divisions. The precise number of divisions for a kvantilis is typically determined by the analytical needs of the researcher or the nature of the data being examined. It's a flexible tool for data segmentation and comparative analysis.