//This is the normalized variable I will be mapping. It was created by diving the population between 5-9 by the total population for each county in Alabama.
childpct=Array.from(csv_data.values(),d=>d[1][1])
data=Object.assign(newMap(csv_data),{title:["Percent Population of Alabama: between 5 & 9"]})
md`# Before we Map...`
//I will not get into the best practices for mapping, such as number of classes or colors to use, but the following classifications were constrained by these 'best practices'.
//I stuck with 3 classes for the classification methods, except quantile where I used 5. For the number of objects I am using (67) I decided 3-5 classes was sufficient for each classiciation method. Equal Interval wasn't a great breakdown regardless of classes but is shown below with 3.
//The colors were created using colorbrewer. I chose a range of schemes in which each class is easily identafiable.
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