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https://www.linkedin.com/pulse/sql-murder-mystery-walkthrough-mark-roenicke/
A crime has taken place and the lead detective needs your help. The detective gave you the crime scene report.
The crime was a murder that occurred sometime on January 15th, 2018.
All the clues to this mystery are buried in various datasets, and you need to use Pandas to navigate through this vast network of information.
There are eight datasets you'll need to comb over in order to find the killer:
1. crime scene report data 2. police interview data 3. driver's license data 4. income data 5. facebook account data 6. gym membership data 7. gym check-in data 8. individual personal data
Your goal is to use your Python/Pandas skills to find the murderer and the person who hired him/her.
That is, you need to find who is the murderer and who hired the murderer. To get you started, you should retrieve the corresponding crime scene report from the crime scene report data , for a murder that took place on January 15th, 2018 in SQL City. I trust you'll be able to
https://mystery.knightlab.com/walkthrough.html
https://gist.github.com/bearloga/cfc8099223d1dace2604c8737dcbb4c3
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