nominal area choropleth map

nominal area choropleth map

This is an example of a nominal area choropleth map. The map illustrates a nominal data set over space. It shows the number of votes from each ward and who the majority of votes for that ward went to.

Classed Choropleth Map

classed choropleth map

This is an example of a classed choropleth map. We can tell that it is a classed choropleth map because there is a legend with a set number of classes and each area on the map is placed within one of the set classes.

un-classed choropleth map

un-classed choropleth map
This is an example of a choropleth map that is un-classed. This map would be considered un-classed because the data that is shown is not broken up into different classification groups. The data gradually goes from high to low but there are no set number of classes to specifically put each county in.

Bivariate choropleth map

bivariate choropleth map
This is an example of a bivariate choropleth map because it is a choropleth map that shows more than one variable. In the map it shows the difference in the worlds climate and also the effect that latitude has on climate.

univariate choropleth map

univariate choropleth map

A univariate map is a map in which a single variable is illustrated. In this map we can see that the map focuses solely on the amount of biomass resources in the united states. We can see on the map that the areas with the most resources available are the areas that heavily rely on agriculture such as parts of the midwest and areas of the south.

range graded proportional circle map

range graded proportional circle map
This is an example of a range graded proportional circle map. The data shown on the map is range graded because the cartographer uses different size circles to help show the analyst the difference between the classes. In this map you can see the density of Mexicans in the united states between the 50 states.

Box Plot

box plot

Box plots display differences between populations without making any assumptions of the underlying statistical distribution: they are non-parametric. The spacing between the different parts of the box help indicate the degree of dispersion (spread) and skewness in the data, and identify outliners. The box plot above is displaying blood pressure among different groups of people.