I chose both mental health and weather datasets because I was interested in mental health as it relates to seasonal depression. I was able to glean insight from the data to identify correlations between weather and mental illness.

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• The process I followed for this project included:

  • Cleaning data

  • Transforming data

  • Communicating with the team/instructors via Slack & Zoom

  • Reaching out to mentors when errors arose

  • Beginning with the data in R, exploring and cleaning the data

  • Then taking that data from R to Python

  • Visualizations were achieved in Tableau

  • Documenting the process in Trello