A tool that divides a dataset into ten equal groups, representing ten deciles, provides a way to analyze data distribution. For example, arranging household incomes from lowest to highest and splitting them into ten groups allows analysis of income inequality and identification of the top 10% (tenth decile) or bottom 10% (first decile) earners.
This type of analysis is valuable across various fields, including economics, finance, and healthcare. It allows for a nuanced understanding of data dispersion, going beyond simpler measures like the median. Historically, such grouped data analysis has been crucial for policymakers and researchers in understanding population characteristics and developing targeted interventions.
