README.md

Data and scripts for Project 3 Group 7: Q.L. & M.Z.

We used the flights data from May 1st 2017 to perform database construction and queries. The final python scripts are in PS3.py.

We succeeded to get the average departure-delayed time of all airports for each state on that day, and the average departure-delayed time for each airport in Florida, using raw SQL.

Average delay for each state on May 1st 2017

SELECT State, ROUND(AVG(Dep_Delay_New),2) FROM Flights JOIN Airports ON Origin = Code GROUP BY State;

Average delay for each airport in Florida on May 1st 2017

SELECT Code,ROUND(AVG(Dep_Delay_New),2) FROM Airports JOIN Flights ON Code = Origin GROUP BY Code HAVING State = 'FL';

Grading

You will receive points for:

Rubric item	Points	Your score
Group plan submitted	5 points	5
Defined elements above: * Database: * Tables are normalized * Tables have reasonable structure * Tables have primary and foreign keys defined * SQLAlchemy * Add data to database * Query database * Select, where, join	20 points	20
Having at least one commit from each member of the team	2 points	2
Using meaningful commit messages	2 points	2
Using branches to work collaboratively	4 points	4
Using comments in code	1 points	1
Logical flow to code	3 points	3
Readability of code	3 points	3

Total points:

40/40

Comments:

Good job. Would have been better to add the queries to your python script, but OK.