The two datasets I chose were titled “More Guns, Less Crime?” and “Determinants of Murder Rates in the United States.” I chose these two because they have similar topics and I think it would be interesting to dive deeper into the data of both of them. I did both the Simpson test and the Shannon tests and both determined that the “More Guns, Less Crime?” datasets had more diversity in the first digits of its quantitative variables.
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Reflection 1: Kaggle
The Kaggle dataset that I choose was Tech_Use_Stress_Wellness. I chose this dataset because the correlation between technological use and overall wellness has always been very interesting to me. The dataset can be found at this link: https://www.kaggle.com/datasets/nagpalprabhavalkar/tech-use-and-stress-wellness
From the two conditional probabilities that I computed, I found that people in suburban areas seem slightly more likely to download wellness apps than both rural and urban. Also, I found that if someone uses a wellness app, then they are more likely to eat healthy.
My next step in this would be to determine the correlation between daily screen time hours and whether or not people use wellness apps.