Star Plots

http://www.humble-inc.com/rof_app99-2.htm

Star Plots compare single data points with different variables. For example, point 1 is larger than 3 but smaller than 2. The figure above is a star plot created from gas chromatographic analysis of oil samples using selected peak ratios.

Correlation Matrix

http://www.livestockgenomics.csiro.au/Genome_to_Phenome/

A correlation matrix is another type of graphic tool that is used to show the correlation or linear relationship between two variables. The graph that I have selected above demonstrates the “heat map of the tissue to tissue correlation matrix. Thick lines separate cancerous from normal tissues. The spectrum goes from blue (correlation <= -0.45) to white (-0.05 < correlation <= 0.05) to red (correlation > 0.45).”

Similarity Matrix

http://www.fxpal.com/?p=eventDetector

A similarity matrix is a graphic representation of scores that demonstrates similarity between two different data points. The matrix above shows how a collection of 512 photographs relate temporal and content similarity.

Stem and Leaf Plot

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

A stem and leaf plot is a useful tool for visualizing the distribution of quantitative data. This is a useful devise for showing exact scores. For example, if you are a teacher and you want to know how the class did on an exam, this would distribute all of the test scores.

Box Plot

http://math.youngzones.org/stat_graph.html

A box plot is also known by box-and-whisker diagram. Box plots are useful because they can show outliers, statistics that are removed from the concentration of data. Box plot can be horizontal or vertical, and can handle large data sets; they are not useful for exact values.

Histogram

http://math.youngzones.org/stat_graph.html

A histogram is another type of graph used to demonstrate values of different variables. A histogram uses the size of the bars rather than the height to demonstrate the value. The histogram above illustrates the rates of cigarette smokers by sex and age in 1992.

Parallel Coordinate Graph

http://www.curvaceous.com/six%20sigma%20application.htm

The parallel coordinate graph above comes from a company that designs software; therefore this graph is an example of their work; pretty good. Each line on the graph represents a number of values and is connected with a different variable. It would be almost impossible to find and study one variable. The intention of this type of visual aid is to do a multivariate analysis by studying the concentration of lines; you want to look for patterns and omissions.

Triangular Plot

http://ex-parrot.com/~chris/wwwitter/20050407-it_doesnt_matter_how_you_vote_either_way_your_planet_is_doomed.html

This type of graph is suited to demonstrate the relationship between three different variables. If you are a registered voter in the U.K. you might be interested in the graph above that shows how voters are leaning in their general election from a poll taken in April, 2005.

Windrose

http://www.climate.washington.edu/climate.html

The windrose is a tool that has been used for a long time. The wind rose as depicted above is a modern version that depicts wind speed in different directions. The windrose usually shows 16 main directions such as North, North by North East, North East, etc.

Climograph

http://www.cotf.edu/ete/modules/msese/earthsysflr/savannah.html

This is a climograph of the savannah in Chipata, Zambia. A climograph is a visual representation of weather conditions of a particular area over time. Rainfall and temperature are the variable shown in this climograph. The bar graph represents rain and the line graph denotes temperature. By Florida standards Chipata, Zambia is a very dry environment.

Population Profile

http://www.ifad.org/operations/regional/pf/aids_1.htm

The population profile above represents the entire population of East and Southern Africa of males and females by age. This visual representation also shows the numbers of those infected with AIDS. According to this graph the largest age group is 20 to 25 for both sexes. This group also has the highest incidence of AIDS. It is interesting that at age 75 through 80 almost everyone has AIDS; strange.

Scatterplot

http://www.bcgsc.ca/platform/bioinfo/software/ds/primer/SAGE/

A scatter plot is a visual display that uses data of two separate variables; they are plotted on a graph as a collection of points from values that correspond to the X and Y axis. The scatter plot above is a comparison two types of SMO; a 95 and a 96. To be honest, I have no idea what an SMO is, nor do I care; I chose this because I like the colors.

Index Value Plot

http://www.mathworks.com/products/demos/shipping/garch/garchcopulaevtdemo.html?product=GA

An Index Value Plot is an image of data represented in the form of a graph. The index value is plotted on the Y axis while the date is plotted on the X axis. The Index Value Plot above shows a comparison of closing levels of the world market from 1992 through 2004. This shows Germany beating the pants off of the competition; farfegnugen!

Accumulative Line Graph or Lorenz Curve

http://www.qualityinfo.org/olmisj/ArticleReader?itemid=00003899

The Accumulative Line Graph of Lorenz curve is a graph that shows a probability of distribution. This type of graph id usually used to show income distribution as is the case in the representation above. The curved portion of the line depicts the higher wage earners and can be used to relate an example of social inequality.

Bilateral Graph

http://www.treas.gov/press/releases/

Bi-lateral, meaning two variables measured in the same direction. Above is a visual representation in the form of a bi-lateral graph that was put out by way of a press release by the U.S. Treasury. The variables measured are unemployment and new jobs due to Bush’s economic policies. This could also be considered a type of propaganda map.

Nominal Area Choropleth Map

http://mapmaker.rutgers.edu/355/links.html

This type of choropleth uses nominal scale data. Nominal refers to a scale of measurement. Nominal scale data has no particular order, nor can it be classified as greater than or less than. Nominal refers to the name of the subject data. The map above shows the churches of Hawaii over area and by name; Buddhist, Protestant, and Catholic.

Unstandardized Choropleth Map

http://www.tcrecord.org/Content.asp?ContentId=14626

An unstandardized choropleth map is a variant of a thematic map that uses data from a source that has not been standardized; the data is not common knowledge. The map above relates the areas of Uganda that has private schools versus those areas that do not.

Standardized Choropleth Map

http://www.portal.gsi.gov.in/pls/portal/url/page/GSI_STATIC/GSI_STAT_SEARCH_MAP_INFO

A standardized choropleth map used data that has been standardized; that it to say that the data is standard to a particular industry; everyone uses the same data. For example, standardized population data of the U.S. would come from the U.S. Census Bureau. The choropleth above uses standardized data to show geological information or rock classifications in India.

Univariate Choropleth Map

http://www.gismonitor.com/news/newsletter/archive/archives.php?issue=20060622&style=web&length=full

A univariate choropleth map only demonstrates one variable. The map above depicts unemployment in Portland, Oregon in the year 2000. Shading from light to dark demonstrates the degree to unemployment existed at that time. The author used four categories of shading to display this variable.

Bivariate Choropleth Map

http://www.geocities.com/stevejford/new_page_2.htm

A bivariate choropleth depicts two variables. The map of Africa above demonstrates life expectancy in years as compared with GNP per capita in U.S. dollars. The pie chart below the bivariate choropleth is a third variable that shows land use.

Unclassed Choropleth Map

http://www.math.yorku.ca/SCS/Gallery/milestone/sec5.html

Unclassed choropleth maps use continuous tone shading to depict values. There is no data chart, key, or schedule that goes with this type of map, thus we call it unclassed. The map above should be familiar to those who study maps; it is the first unclassed choropleth map; it represents the “distribution and intensity of illiteracy in France” and it was created by Pierre Charles François Dupin in 1826.

Classed Choropleth Map

http://www.ilstu.edu/~jrcarter/Geo204/Choro/Tom/
Choropleth maps are another version of a thematic map. The above choropleth is classed and represents the percentage of Hispanic or Latino people by county in Florida. The classes of a choropleth map are the variables that the map is depicting. Typically there are five classification methods used in a Classed Choropleth Map. They are natural breaks, nested means, equal interval classes, quartiles, and skewed distributions. The data for this map is compiled using the natural breaks method.

Continuously Variable Proportional Circle Map

//www.math.yorku.ca/SCS/Gallery/bright-ideas.html

Proportional circle are a form of cartogram. The image above shows how the continuously varying circles can represent the values of the cartogram. The image on the right has also been referred to as a circle-cartogram. This type of cartography depicts the point values as circles that may have an infinite number of sizes, to the extent that they can be shown and viewed practically.

Range Graded Proportional Circle Map

http://mapmaker.rutgers.edu/355/links.html
The image above is a variation of a dot distribution map. Circles of varying sizes are used instead of dots. The circles indicate point data and the size of the circles indicate the degree of the variable that is measured. In this case the variables are range graded; that is to say that they represent predetermined sizes. For example, the rural populations are noted as either 500 or 1000 – 2500. This map demonstrates the population of the areas surrounding Detroit and Chicago.