Experiment Reflection
[1] "Association of exercises and sleep quality:In general if the number of miles walked is above 9 miles, the sleep quality starts to decrease to under 80 percent. However, as the number of miles is from 4-8 miles, the sleep quality is in the area of about 90-100%. This confirms that hypothesis that moderate exercises help with sleep quality and over exercise could have a negative effect on the sleep quality. However, overall sleeping quality is much higher than American average, so even over exericse does not cause too much of an effect."
[1] "Association of screen time to sleep quality : This is the average of sleep quality and screen time per day of the week. This graph shows that even with high screen time, it does not have a negative effect on sleep quality. Even with a range of screen time, it does not seem to affect the sleep quality. However, it seems that the day of the week seems to have a higher effect to the sleep quality. Tuesday and Wednesay night, I tend to get worst sleep quality during those days"
[1] "Association of sleeping time to sleep quality: it seems that adults need about 7.5-9hours a day. As we look at this graph, it seems that to get the optimal sleep quality, I need to sleep at least 8 hours and 20 minutes. However, as I sleep less than 8 hours, I tend to get worst sleep quality. The red dashed line shows the American average sleeping time."
[1] "However, next time I would like to be more detail about my exercise factor. I would like to incorporate the time element into the factor such as does exercise in the morning or at night has an impact on sleep quality. Also, for the screen time, if I can separate social network applications usage vs. other, would they be differences in effect or not. I would also like to repeat weekly experiment to see during next quarter, would tuesday and wednesday still has a negative impact on my sleeping quality. If yes, I need to explore different apps to confirm the data or pay attention to my routine on those days"
Course Reflection
[1] "I would love to start off with thank you our instructors for making this online course as interactive as possible and easily grasped. I understand that R programming is not an easy thing to teach students without background in computer science. I, myself, used to be scared when it comes to perform tasks with programming. However, this class really get me started on how I should start searching for my answers related to programming. Also, as a chemical engineer student, this course teaches me to push boundaries in terms of thinking about how to apply basic data programming to various applications. Even though this class talks about policys mostly, the instructor makes it clear how it can be applicable to science/business and other discplines, which is extremely helpful."
[1] "In term of improvement, I would like to take another course that is most advanced than this course. Ten weeks is short for mastering R. We are getting close to where we can get at intermdiate level at R, but we still at the beginning level. Also, I strugle a lot in the Lab 9 as the lecture went through very quickly and there were many elements for shiny app, it took me a while to figure out where each element goes. Maybe give some more basic examples as a reference with detail annotation would greatly help students who struggle to get start.I would also like the instructor to go through for loop and other functional programming a little bit more in-depth, personally, as I think it is a diffucult concept that should be in the back of our mind before continuing advanced courses.Other than that, the time spent for other topic is reasonable."
