Putting it all together
Many of the techniques you've learned in this course will be useful when building queries to extract data for model training. Now let's use some date/time functions to extract and manipulate some DVD rentals data from our fictional DVD rental store.
In this exercise, you are going to extract a list of customers and their rental history over 90 days. You will be using the EXTRACT(), DATE_TRUNC(), and AGE() functions that you learned about during this chapter along with some general SQL skills from the prerequisites to extract a data set that could be used to determine what day of the week customers are most likely to rent a DVD and the likelihood that they will return the DVD late.
Latihan ini adalah bagian dari kursus
Functions for Manipulating Data in PostgreSQL
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
SELECT
-- Extract the day of week date part from the rental_date
___(___ ___ ___) AS dayofweek,
AGE(return_date, rental_date) AS rental_days
FROM rental AS r
WHERE
-- Use an INTERVAL for the upper bound of the rental_date
rental_date BETWEEN CAST('2005-05-01' AS ___)
AND CAST('2005-05-01' AS ___) + ___ '90 day';