Nt1310 Unit 3 Data Analysis Of Unemployment

In the Map 1, the data of the change in unemployment rate is measured as ratio data that is quantitative, which contains the negative as well as the positive number in percentage, with the number value of 0 as the central value. Therefore, using the natural breaks for classifying data can be considered as a better way to interpret the data, since the class breaks maximize the differences between classes. It is more intuitive to locate the difference of change in unemployment rate in this way. In order to distinguish the difference between the positive value and the negative one, it is more accurate to use divergent color scheme of blue and red.
In the Map 2, the percentage data of population 25 years of age or older who hold a Bachelor's degree
For the data that is linearly distributed at the range from 0% to nearly 62%, the classification of quantile method is suitable for interpret the percentage condition in different states. Using quantile method means that there are no empty classes or classes with too few or too many values. Therefore, each class would have states within it. Additionally, sequential color scheme can be used for visualizing the continuous data, and the choice of green color matches the representation of rural area and land.
In the Map 5, the data of the total population in states of the U.S is quantitative data that is discrete. The data values of population size fall within the range from 560,000 to 38,000,000. As population is unevenly distributed throughout the United States, using the natural breaks method can cluster those states whose population share the relatively same size, which can better interpret the distribution of the population within the country. The sequential color scheme of orange can be identified as commonly used color scheme for visualize population and population