Nominal Area Choropleth Map

http://www.ilstu.edu/~jrcarter/Geo204/Choro/Tom/

This nominal area choropleth map represents the percentage of hispanics or Latinos in Florida by county. As I 

expected there is a heavier concentration of hispanics in south Florida. I will be interested to see if these 

percentages change with the 2010 Census. I have notices a growing Hispanic population here in Bay County and 

also in Lake County, where I'm from.

Index Value Plot

http://water.usgs.gov/waterwatch/?m=real&r=ga&w=real%2Cplot

This index value plot represents the streamflow for Florida over the last 45 days. This particular index value 

plot represents daily values; there is no limit to the values that could be used. I wanted to compare FL to GA 

mainly due to the drought conditions in Georgia that are affecting the Apalachicola River area.

Trellis Plot

http://www.cs.umd.edu/class/spring2001/cmsc838b/Apps/presentations/Jaime_Spacco/

This graph or plot is the second part of the next post about football...this graph is broken down by team, using only wins, running offense, and running defense. I thought this was a fun graph, one that may be helpful to fantasy football fanatics.

Parallel Coordinate Graph

http://www.cs.umd.edu/class/spring2001/cmsc838b/Apps/presentations/Jaime_Spacco/

A parallel coordinates graph connects a series of values and shows relationships between different variables. The graph I used happens to show the correlation between wins and offense and defense in the National Football League. This particular set of data is from the 2000 NFL season. The second graph is broken down by team, using only wins, running offense, and running defense. I thought this was a fun graph, one that may be helpful to fantasy football fanatics

Box Plot

http://www.itl.nist.gov/div898/handbook/eda/section3/boxplot.htm

The box plot identifies the middle 50% of the data, the median, and the extreme points. Box plots are formed by

Vertical axis: Response variable
Horizontal axis: The factor of interest

More specifically, we

1. Calculate the median and the quartiles (the lower quartile is the 25th percentile and the upper quartile 
   is the75th percentile).


2. Plot a symbol at the median (or draw a line) and draw a box (hence the name--box plot) between the
   lower and upper quartiles; this box represents the middle 50% of the data--the "body" of the data.
3. Draw a line from the lower quartile to the minimum point and another line from the upper quartile to  
   the maximum point. Typically a symbol is drawn at these minimum and maximum points, although 
   this is optional.

Similarity Matrix

http://www.clcbio.com/scienceimages/sm/smith-waterman-optimal-local-alignment.png

A similarity matrix is used in determining the similarity between two sets of data. This matrix is compiled by using the Smith-Waterman algorithm. This algorithm finds determines the similarity between protein sequences.

Stem and Leaf

http://www.highpointsmath.com/sitemap/Stem-and-LeafPlot.html

 Stem and leaf plots are useful for arranging data. One could be used for diagramming ages. You would quickly be able to tell which age group is represented the most.