Inspiration
The inspiration for this project it's related to how we want to learn more about the covid effect on this society and our life. We thought that during 2020 there is constant reporting of air quality getting better and how Covid is affecting different races and people from different social-economic backgrounds differently. Thus we want to investigate the issue that COVID may have caused and some things we may not have thought about.
What it does
Our project consists of multiple different Python files that run to analyze the data set that is placed in the data-set folder. For the output, we were able to see that the data does confirm many of our speculation that we are going to go over in the video.
How we built it
We build this using code that we have learned in CSE 163 and also searching online for new libraries and datasets. Because COVID is still an ongoing issue many of the data is not as developed as other datasets for large events, thus We also used many tools to combine different datasets into one to better solve the data. To test the validity of this function, we used the statistic method for a two-sample t-test for a large sample size to compare with 2 standard deviations and see if there is a difference between two-time intervals.
Challenges we ran into
I think figuring out what the right steps to work on a date and manipulating them are those things that challenge us the most. 2020 is a very chaotic year with multiple catastrophic events, it is hard to say has COVID shaped our life or has we shaped COVID in 2020. Thus it is hard for us to find a proper way to start our project, however, with help from our TA Ivan we were able to have a good focus and finish the project in time.
Accomplishments that we're proud of
I think we really learned a lot from the COVID datasets by analyzing them, we confirmed many different theories that we had, and it was surprising to see that we were mostly all correct on those issues. We were able to learn a new library in this short time frame and write code that we feel is complicated and thoughtful.
What we learned
We learned a lot in this last chapter and final project for this class, especially in parts of the connections data show us how can we work to fight the inequality that may have arisen and shown from the data. We create a function for the different tests between gas concentration mean before and after covid starting time.
What's next for Covid hidden effect study final project CSE163_
I think the world after covid will benefit from this study. As it will help policy makers to understand and make rules that will better help solve the next diaster. And the conditions after the Covid restriction has been lifted will also helped to test our hypothesis about human behavior being shifted.
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