Thursday, December 11, 2008

Population Profile


The population profile above describes the population of the US taken from the census bureau. It demonstrates three generations 1970, 1980, and 1990. Then it describes the amount of living Americans during those eras in 4 year increments by age. These population profiles are useful tools in determining life expectancy in generations to come, as well as determining fluctuations in data and time periods in order to study unusual circumstances.

Scatterplot

The image above is a scatterplot that describes the fluctuation between a husband and wife's age. As you can see for the most part the ages are fairly equal, but in some cases there are areas where the plots are out of the ordinary. The scatterplot is used in this scenario because there are not always going to be equal cases, and in order to demonstrate this you must be able to scatter your data.

Index Value Plot


This index value plot demonstrates the volatile changes in the market from month to month. The plot is a common tool used to measure daily stock values.

Wednesday, December 10, 2008

Lorenz Curve


In this depiction of the Lorenz Curve the independent variable is income, while the dependent variable households. If the distribution of the households was equal you would look at the blue line which is the line of equality, but because we are looking at an economic scale this is hardly feasible. Therefore the Lorenz curve is depicted in order to show the space between the line of equality and the curve as the space of inequality.

Bilateral Graph


This bilateral graph describes two variable between 1980 and 2004. The comparable variables are the amounts of high corporate net lending how it effects the amount of widening current account deficit. A bilateral graph is a graph which demonstrates two comparable variable on one line demonstrating the correlations between the two.

Nominal area choropleth map


This nominal area choropleth map descibes the GDP in USD billions for each country around the world. This map is nominal because it does not have a specific order, however it gives nominal detail, and a specific color key to describe the quantitative analysis.