Jenna Hannum Bahel

In order to select predictor values in a decision tree it is easiest for me to work backwards. Think about the end goal. What is it that you want to find? From there, you can then backtrack in the data. How will your desired outcome get extracted from the larger data set?

http://www.coolinfographics.com/blog/2016/2/16/londons-expected-house-price-gain.html
This infographic is a great example of data visualization. It clearly says in the title what story is being told. The first map uses colors from green to red to show the increase in house prices, red being the largest gain and green being the smallest. Under the…[Read more]

The trickiest part about creating an ERD, in my opinion, is identifying the relationship and correct cardinality. When reading the problem description they sometimes include phrases that help to identify the cardinality. When the answer is not so clear, you must step back and think how the two entities interact.

I am on the rowing team here at Temple and last year I experimented with my diet as how it impacted my physical output I can produce at practice. Everyday I would chart my food and also record the time it took me to complete the workouts at practice. After a while I looked back to see the results and could determine the best combination of…[Read more]