My first product is a spread sheet. The spread sheet has a list of nine of the best point guards in the NBA currently. With them I have accompanying advanced stats. I wanted to do this so I could really see what point guard is doing the best this season. Many people just look at how they play and have empty arguments based on that. But, I wanted to use these advanced stats to look at who is really doing the best. The stats I am using are most important to a point guard’s games. The stats I used were point and assists per 36 minutes, Player Efficiency Rating (PER), true shooting percentage, assist percentage, usage percentage, turnover percentage, and win shares. Being able to use spread sheet, I can easily analyze the data. Spread sheet allows me to put all this information in a visually appealing place, organized neatly. I wouldn’t have used spread sheet in explorations at the beginning of this year. After being in IDEA and learning the ease and efficiency of spread sheet, I now can utilize it too its fullest. While in IDEA, I used how to use tools on spread sheet to be able to see the data better. I used four of those tools on this spread sheet. One is the mean. This allow me to see what the average was for each stat is. Using this, I can look at the players and see if they which categories they are good in, and which they are subpar. I also used a tool to see the best and the worst scores at each position. I also used the median tool to see which player is in the middle of the pack. Also, using the median allows me to see which players are in the lower half of the best point guards in a particular category, and which ones are in the top half. Before IDEA, I didn’t know that these tools existed. Through learning them, I can analyze the data better.
My second product is similar to my first. I made a spread sheet with the nine of the best big men (power forwards and centers) in the NBA. I had most of the same stats as the point guards except I replaced assists per 36 minutes, assist percentage, and turnover percentage with total rebounds per 36 minutes, total rebound percentage, and defensive rating. These are better for analyzing big men because they don’t have ball handling responsibilities. Their job is more about getting rebounds and protecting the basket than getting assists. I used the same tools with this spread sheet. I used the average tool to see the average amongst the best big men in each stat. I also used the maximum and minimum tools to see the range from best to worst. Then I used median to see the exact middle of the scores. These were all helpful in
seeing who the best big men were this season. Without them, the data would be less organized and harder to read and analyze. With them, you can see a lot clearer how each player is at certain stats, the strong and weak parts of their game. These stats are much more helpful at determining the best players than subjectively watching them play. But, when I look up many of these stats, they get lost. With the spread sheet abilities I now have the ability to put them in one place. With the practice at using spread sheet, I can now analyze these stats after have them better too.
My third product is a sketch up drawing of a basketball court. Before this course, I used sketch up once. It was very difficult for me to use. After using sketch up in one of our IDEA explorations, I can now use it with ease. I thought the basketball court would take me forever to make. But as I was working on it, I discovered that I obtained much more knowledge that I had realized before. I knew what to do. I could use the measuring tool as an aid. I know how to make the exact measurements of the rectangles and circles efficiently. By practicing on sketch up in IDEA, I finished my court much faster than I could have ever before. IDEA has really molded me into being very good at using sketch up. I could not have used this program like this with this course.