Difference between revisions of "Carolyn.Rush"
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===Project 2b - Scatterplot=== | ===Project 2b - Scatterplot=== | ||
[http://www.sfu.ca/~cerush/Project_2/DRAFT/applet/ Project_2] | [http://www.sfu.ca/~cerush/Project_2/DRAFT/applet/ Project_2] | ||
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| + | 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. | ||
===Assignment 2=== | ===Assignment 2=== | ||
Revision as of 20:03, 20 October 2008
Project 2a - Scatterplot
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
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.
