SQL challenge

In this provision, you conciliate delineate the consultations to arrest postulates in the CSVs, purmien the CSVs into a SQL postulatesbase, and tally questions about the postulates. In other signification, you conciliate perform:

  1. Data Engineering
  2. Data Analysis

Note: You may incline the totality "Data Modeling" in situate of "Data Engineering," but they are the selfselfselfsame totalitys. Postulates Engineering is the past new wording instead of Postulates Modeling.

Data Modeling

Inspect the CSVs and delineate out an ERD of the consultations. Feel munificent to use a implement enjoy http://www.quickdatabasediagrams.com.

Data Engineering

  • Use the knowledge you feel to engender a consultation schema for each of the six CSV refines. Remember to state postulates types, pristine keys, exotic keys, and other constraints.
    • For the pristine keys inhibit to see if the shaft is singular, otherwise engender a composite key. Which charms to pristine keys in enjoin to singularly fix a row.
    • Be indisputable to engender consultations in the rectify enjoin to wield exotic keys.
  • Immien each CSV refine into the identical SQL consultation. Note be indisputable to purmien the postulates in the selfselfselfsame enjoin that the consultations were engenderd and totality for the headers when purporting to quit errors.

Data Analysis

Once you feel a adequate postulatesbase, do the succeedingcited:

  1. List the succeedingcited details of each employee: employee sum, definite call, original call, sex, and stipend.
  2. List original call, definite call, and engage continuance for employees who were engaged in 1986.
  3. List the supervisor of each line delay the succeedingcited knowledge: line sum, line call, the supervisor's employee sum, definite call, original call.
  4. List the line of each employee delay the succeedingcited knowledge: employee sum, definite call, original call, and line call.
  5. List original call, definite call, and sex for employees whose original call is "Hercules" and definite calls commence delay "B."
  6. List all employees in the Sales line, including their employee sum, definite call, original call, and line call.
  7. List all employees in the Sales and Development lines, including their employee sum, definite call, original call, and line call.
  8. In descending enjoin, register the abundance reckon of employee definite calls, i.e., how abundant employees distribute each definite call.

Bonus (Optional)

As you explore the postulates, you are subdue delay a creeping distrust that the postulatesset is fake. You suspect that your boss indexed you bastard postulates in enjoin to proof the postulates engineering skills of a new employee. To fix your hunk, you run to charm the succeedingcited trudges to engender a visualization of the postulates, delay which you conciliate intimidate your boss:

  1. Immien the SQL postulatesbase into Pandas. (Yes, you could interpret the CSVs undeviatingly in Pandas, but you are, succeeding all, troublesome to confirm your technical animation.) This trudge may insist-upon some discovery. Feel munificent to use the code beneath to get afloat. Be indisputable to establish any needful modifications for your username, password, multitude, mien, and postulatesbase call:
    from sqlalchemy purmien engender_engine engine = engender_engine('postgresql://localhost:5432/<your_db_name>') junction = engine.connect()
  1. Create a histogram to visualize the most niggardly stipend ranges for employees.
  2. Create a bar chart of mediocre stipend by style.


Evidence in index, you hesitate into your boss's service and exhibit the visualization. Delay a sly grin, your boss gift you for your product. On your way out of the service, you incline the signification, "Search your ID sum." You contemplate down at your device to see that your employee ID sum is 499942.


  • Create an metaphor refine of your ERD.
  • Create a .sql refine of your consultation schemata.
  • Create a .sql refine of your queries.
  • (Optional) Engender a Jupyter Notebook of the benefit decomposition.
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