Stemplots or double stemplots graphically represent quantitative data to the nearest significant digits.
This plot depicts large quantities of numbers or variables using the boxplot application. The speed of light against the experiment number yields varying results which is represented visually in the boxplot.
This graph shows the distribution frequency for the grades on a specific test or subject. The bars are measured both horizontally and vertically for analysis and distribution.
This triangular plot is a pretty convoluted representation of the conservative vote % for some election year. Each triumvirate is represented by an angle on the triangle.
This windrose plots the points and areas pertaining to the subsequent wind speeds measured in knots. Resultant vectors can be obtained and calculated using the supplied data.
This climograph for Australia plots the points and graphs for the temperature vs precipitation trends for a specific region. Notice how the graph and the line points follow a similar motion and trend.
This population profile shows the number of immigrants in 2004. The left side represents the male immigrants and the right side represents the female immigrants. The shape corresponding to the profile lends to infer that there were more middle-aged immigrants than older or younger ones.
This example scatter plot shows a definite trend upward. Notice how the dots are closely knit together indicating a strong trend upwards. If the scatter plot dots were loosely decorated around the chart, the trend would be less strong and harder to determine.
This lorenz curve shows the actual trend of %households vs %income. In a perfectly balanced economic society, the number of households would go up proportionally to the amount of income. This, of course, isn't the case which the Lorenz curve illustrates.
This bilateral graph shows both positive and negative values concerning the humanitarian assistance in 2005-2006. 
Having no particular emphasis on class or order, this is a map regarding the vegetative and qualitative differences in Canada. The different colors represent the differences in vegetation.
This is an image showing the populations of 14 year olds and under in Canada. The units and variables are standard throughout the region and area.
This is a lightning density map for the year 1989. There is no specific class as prescribed by other choropleth maps. The red areas constitute higher lightning strike densities.
The differences between this choropleth maps and others is that each interval is divided up further into different 'classes.' Each class yields for a greater attention to detail and division of information.
This map measures the proportional area (in reference to the specific data) in circles. The larger the corresponding data, the larger the circle and pie chart.
The DRG listed here of a quad in central New York adheres to the UTM and other geographical mandates of that region. Images are scanned using at least 500 dpi or more.
Isopachs used in this image are clearly identified both for the land and marine applications it regards. The dots on the grid could loosely affiliate this image with a modified scatter plot, as well as a PLSS map with regards to the gridding.
This visual shows the lines of constant pressure around a Low pressure somewhere over the Great Lakes. These visuals are useful in predicting weather movement and how either a High pressure of Low pressure will react with adjacent climate patterns.
The doppler image shown here is of Hurricane Ivan in 2004. Shown is the radial intensity of the storm and weather bands created from the changes in pressure and isobars.
Black and white aerial photos are good for interpreting both present and past data concerning a region. This photo was taken of the balloon track site, a fully operation railroad track in the 1950's and 1960's.
Cartographic animations are used for an interactive asset when reading data. Normally moving the cursor over a highlighted region would bring up that respective region's data and corresponding information.
Cartograms distort actual land mass to replace with visual representation of information being provided. In this case it has to do with wealth and GDP.
This particular isoline map shows the distribution of coverage, or in this case wind, over the continental United States. It can be seen through visual representation aided by color, that the vast majority of the mid-west will be experiencing some winds.
This map, using sometimes overlapping circles to signify same-coverage use, explains the internet usage in 2004 for Europe. It can be seen that only in certain areas does some coverage and usage overlap as represented by the circle map.
This map uses interval quantities and color shading to accurately define the regions (both county and subsequent state) that use farmland to grow certain crops. The crops are defined at the top, and intervals regarding acreage are labeled at the right using color-coding.
The title alone and derivative used to display (counties instead of lump sum state votes) suggests that the entire country voted for Bush in 2004. Using this form of coercion brings visual aid towards swaying a particular group of people when regarding a situation.
This is a PLSS map grid of Franklin County, Alabama. The sectors and regions indicated for land ownership are clearly marked through the map grid.
This is a thematic map of the continents (excluding Antarctica) concerning the methane emissions yielded from growing rice. Notice how Brazil, India, and China are among the highest emitters of methane due to rice.
