https://github.com/quocduyenanhnguyen/accidental-drug-related-deaths-2012-2018-data-exploration-and-analysis

I wrote SQL to explore Accidental Drug Related Deaths in Connecticut 2012-2018 dataset.
https://github.com/quocduyenanhnguyen/accidental-drug-related-deaths-2012-2018-data-exploration-and-analysis

csv-files data-analytics deaths drugs-dataset kaggle-dataset mysql opioids

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I wrote SQL to explore Accidental Drug Related Deaths in Connecticut 2012-2018 dataset.

• Host: GitHub
• URL: https://github.com/quocduyenanhnguyen/accidental-drug-related-deaths-2012-2018-data-exploration-and-analysis
• Owner: quocduyenanhnguyen
• Created: 2024-06-13T19:12:41.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-13T20:04:02.000Z (7 months ago)
• Last Synced: 2024-11-08T21:13:14.738Z (2 months ago)
• Topics: csv-files, data-analytics, deaths, drugs-dataset, kaggle-dataset, mysql, opioids
• Homepage:
• Size: 378 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Software I used:

[MySQL Workbench](https://dev.mysql.com/downloads/workbench/): to write SQL 

[Data source](https://www.kaggle.com/datasets/muhakabartay/accidental-drug-related-deaths-20122018)

# Description: 

- I explored Accidental Drug Related Deaths in Connecticut from 2012 to 2018 dataset I came across on Kaggle. I imported the dataset to the database, then used SQL to pull and analyze the data to generate insights. Attached to this repos is the full dataset, and my SQL queries and explanation of output.