Carolyn.Rush

Note: Description emailed to Dr. Shaw on October 8, 2008. My proposal for this project would be to take a very basic data set (I may actually generate it myself or try to get something from work) on employee data. For example, it would include: Name, Age, Tenur (time with company), and then Specialization. For this first scatterplot, I will be focusing on age (number), tenur (number) and specialization (colour).

My intent is to try to create a class "employee" that has the age, tenur and specialization variables. Then I will create arrays for each of the different areas (eg. array of age, array of tenur, array of specialization) and use those to create dots on the screen that represent each employee.

Project 2b - Scatterplot

Project_2

ADJUSTMENTS TO PROPOSAL:

The code does not use a class but rather a function that reads all of the data points. Then draw is simply called to apply all of the data points and assigned colors to the screen to form the scatterplot

LEGEND:

==X-Axis== (Age ... increases as data points go across the screen)

==Y-Axis== (Tenure... increases as data points go down the screen)

==Color== (Specialization/ Department)

Light Green - Outreach Representatives

Dark Green - Engineering

Yellow - Field Operations

Red - Corporate

Blue - Finance

Purple - Marketing

Orange - HR

OBSERVATIONS:

You can see that there are quite a few engineers which have a higher age and tenure, meaning that they are close to retiring. This is an important salient feature for the company.