Unstandardized Choropleth Map

http://www.economywatch.com/economies-in-top/?page=full

Unstandardized choropleth maps established a value and a pattern across space.  The establish value in the map above is GDP of the countries across the world.  The darker the blue the higher the GPD which means it has a stronger economy.  The white is the countries with the lowest GDP.

Bivariate Chorograph

http://my.ilstu.edu/~jrcarter/Geo204/Choro/

This is an example of a bivariate chorograph because the map above focuses on two variables and has the same spacial pattern over an area. The two variables are the men and women ratios across the United States.  This map is also broken down into five groups with different ratios all labeled with different shades of green or white.

Univariate Chorograph Map

http://hosting.soonet.ca/eliris/remotesensing/bl130lec7.html

This is an example of a univariate chorograph map because the this map focuses on one variable which is life expectancy in Africa and the Middle East and displays it in spacial pattern. The life expectancy is broken down into five subgroups and each is labeled with a specific color.

Nominal Area Choropleth Map

 

 

http://andrewgelman.com/2007/10/25/some_cool_graph/


Nominal area choropleth maps are created to provide nominal data over an area. 
Gender, occupation, ethnicity, race, are examples of nominal data because the order of the categories doesn't matter. The chart above shows the republican and democratic party of rich voters only.  This is nominal because the democratic and republican party have zero value.

Star Plots

 

http://what-when-how.com/statistics/skewness-to-systematic-review-statistics/

Star plots are a useful tool to compare multiple variables of one area to areas else where.  In a star plot the graph has a middle or focus point where the variables have an original starting position.  In the graph above four cities are compared to each other with the same 7 variables.  The shape of the star helps identify what variables are effected largely or hardly at all compared to the rest.

Correlation Matrix

 

https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_ods_sect017.htm

A correlation matrix describes the correlation between multiple random variables.  In the chart above is the standard procedures on how to rate automobiles.  All of the 10 variables effect one another and the data is then collected to come up with a over all ranking for the car.

Similarity Matrix

 

http://www.builtlean.com/2010/08/03/ideal-body-fat-percentage-chart/

Similarity Matrix's show the correlation between two variables and is then projected on a graph.  The image above shows the correlation of a individuals age and the four different body types lean, ideal, average, and above average.