Sampling with Real Data: Identifying Optimal Sampling Land Areas for Estimating the Population

This snapshot illustrates my use of the Common Online Data Analysis Platform (CODAP), a web-based tool, to perform a sampling data task embedded within a real-world phenomenon. The aim is to identify the optimal sampling land areas on the map for estimating the population. I utilized a public dataset containing densely located alternative fuel stations and expansive vacant regions spread throughout a rectangular area. I sampled rectangular areas on the map and discussed the sampling results with a focus on the variability between and across the samples, primarily using mean absolute deviation as a measure of variation. The sampling task in CODAP is shared with the reader.