Code Monkey home page Code Monkey logo

sql-murder-mystery's Introduction

SQL Murder Mystery

Link: https://mystery.knightlab.com/

There's been a Murder in SQL City! The SQL Murder Mystery is designed to be both a self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime. A crime has taken place and the detective needs your help. The detective gave you the crime scene report, but you somehow lost it. You vaguely remember that the crime was a ​murder​ that occurred sometime on ​Jan.15, 2018,​ and that it took place in ​SQL City​.

Start by retrieving the corresponding crime scene report from the police department’s database.

NOTE:

  • Read SQL Murder Mystery (Info).docx for detailed project info
  • Check solution.sql query file for detailed project solution
  • Check tasks_results.xlsx for each task query output results
  • _sql_murder_mystery.db and sql_murder_mystery.sql file attached

My Investigation Report:

On Jan.15, 2018 a murder was commited in SQL City. When security footage was checked by police, they found that there were 2 witnesses named Annabel Miller from Franklin Ave and Morty Schapiro from last house from Northwestern Dr. When police interviewed them, Morty Schapiro told them that he heard the gunfire sounds and saw a man run out with 'Get Fit Now Gym' bag with membership number on the bag started with '48Z' those kind of bag only possesed ny gold members of gym and saw that the man got into a car with a plate that included 'H42W'. Annabel Miller was presented on the crime scene, he saw the murder happen and he recognizes the killer from his gym when he was working out last week on January the 9th. When police gathered the information from gym on 9th Jan 2018 there were 2 suspects that were presented at that time. And there were 3 suspects from the plate number including 'H42W' when police checked the personal information of all 3 from the license number there was one name which was common from the gym. It was 'Jeremy Bowers' and everything matched perfectly and thus police resolved this murder mystery.

Jeremy Bowers is found guilty based on following evidences:

  1. He is a gym member with gold membership
  2. He owns a gym bag 48Z55
  3. He have a car Chevrolet-Spark LS with plate number 0H42W2
  4. He was presented in gym on 9th of January, 2018
  5. He was witnessed by Annabel Miller when he was commiting murder
  6. Another witness Morty Schapiro saw plate no. while he flew in his car from the incident

sql-murder-mystery's People

Contributors

sjdatascientist avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.