This week's Module (Module 4) dealt with statistics and how to represent statistics on a map in order for them to be accurate and easy to read and understand. The assignment involved producing two maps each map was broken down into 4 distinct maps with each represented a different type of statistical classification system. Natural breaks, equal interval, quantile and standard deviation classification systems were used for both maps. The difference in the maps was the normalization of data. The second layout normalized all classifications by the area (in square miles) of the census tract. After analyzing the results of both maps and each classification system it appears as if the quantile classification system best displays the data provided. In some cases variation within classes was very minimal or very hard to see. On my layout with normalized data I used an inset map to detail the northeastern portion of Miami Dade County. Even with the inset the data is difficult to see. The true issue is that the data does not work well with a standard deviation classification system.