Owen Paul Toy

A decision tree could be used to find which city someone should move to. The data needed for this could be job type, income, level of education, age, married, and number of children. To select the best predictor you should keep splitting until the data is together and the data is not so different from one another.

The article I read talked about R being used to help people in the financial services sector. R is adaptable and able to change with the needs of the user so it is perfect to use for financial services. It is also able to easily calculate everything needed for financial services and makes everything fast. The article I read links to a 40 minute…[Read more]

http://www.coolinfographics.com/blog/2017/4/14/the-best-times-to-post-to-social-networks.html
I picked an infographic that breaks down when it is best to post on social media and when it is best to send emails at work. It makes it very easy to see when it is the best time to post because it breaks down the time by hours and then shows how many…[Read more]

The trickiest aspect of creating an ERD is figuring out the cardinality that connects the entities through their relationships. A good way to help understand the cardinality is to write out how the two entities relate to one another or actually say it out loud to help hear how they interact. This made it easier to understand cardinality for me.…[Read more]

I work at an afterschool that teaches karate and dance, we use data and information there everyday to keep up with all the different kids schedules. On an average day we pick up around 40 kids who come from 4 different schools. The kids ages range from 5 to 13 and they all attend different karate or dance classes. We have all the kids data stored…[Read more]