For my Data Analytics with R class, I worked on a group project with four other members to analyze the a dataset of our choice using R. We chose a dataset describing mortality in the U.S. in the year of 2014 and worked on the project for four months before writing up a final report and presented our findings in class (links below).
Here are some insights we found:
- The #1 fatal health problem is (malignant) neoplasm, followed by heart diseases, lung diseases and infarction. Females are more likely to have Alzheimer’s and breast related diseases than males do.
- Roughly 60% of married white men whose place of death is at home and whose body was cremated committed suicide.
- Twice as many people died in cold seasons – Fall and Winter (67%) as in warm ones – Spring and Summer (33%).
- Widowers had the highest mean Age of Death (around 90) and single people the smallest (around 55).
- Overall, whites and Asians/Pacific Islanders lived longer than blacks and American Indians.
- The largest (education level) group of people who committed suicide was high school graduate or GED completed.
- 77% of people who committed suicide were male.