REGENCY / CITY GROUPING IN KALBAR USING BIPLOT STANDARDIZED METHOD

Masykuri Mokhsan
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Abstract

In principle, a biplot is a graphical methode in two dimensional visual. The information of the biplot result contains the objects that represent the rows of data matrix and the observed variables that represent the columns of data matrix. Many of the observed variables in social, economics, politics and any other studies have the different measurement scaling. That different measurement scaling must be standardized.. The standardized biplot analysis is part of the biplot analysis that has been developed to solve the different of measurement scaling between variables. The weight for the standardized biplot use standard deviation.The Standardized Biplot Scaling method in this study is applied on the regency’s classification in West Kalimantan case based on Human Development Index variables. The HDI’s variables such as Life expectacy Rate, Expected Years of Schooling, Mean Years School and Purchasing Power Parity have different measurement scaling. Before standardization with standard deviations, each value of the HDI variable is centralized by reducing the value of each HDI variable to the average value of each HDI variable.
使用双标图标准化方法在卡尔巴进行摄政/城市分组
原则上,双标图是一种二维可视化的图形化方法。双标图结果信息包含表示数据矩阵行的对象和表示数据矩阵列的观测变量。在社会、经济、政治和其他研究中,许多观察到的变量都有不同的测量尺度。不同的测量尺度必须标准化。标准化双标图分析是双标图分析的一部分,是为了解决变量之间测量尺度的不同而发展起来的。标准化双标图的权重使用标准差。本研究将标准化双标尺方法应用于西加里曼丹案例中基于人类发展指数变量的摄政王分类。人类发展指数的预期寿命、预期受教育年限、平均受教育年限和购买力平价等变量具有不同的衡量尺度。在标准偏差标准化之前,通过将每个HDI变量的值简化为每个HDI变量的平均值来集中每个HDI变量的值。
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