$29
Description.
Generate 5 separate reports based on the following queries (one report for query #1, one for query #2, one for query #3, one for query #4 and another for query #5):
1. For each customer, compute the minimum and maximum sales quantities along with the corresponding products (purchased), dates (i.e., dates of those minimum and maximum sales quantities) and the states in which the sale transactions took place. If there are >1 occurrences of the min or max, display all.
For the same customer, compute the average sales quantity.
2. For each of the 12 months (regardless of the year), find the most “productive” and least “productive” days (those days with most and least total sales quantities) and the corresponding total sales quantities (i.e., SUMs).
3. For each product, find the “most favorable” month (when most amount of the product was sold) and the “least favorable” month (when the least amount of the product was sold).
4. Show for each customer and product combination, the average sales quantities for 4 quarters, Q1, Q2, Q3 and Q4 (in four separate columns) – Q1 being the first 3 months of the year (Jan, Feb & Mar), Q2 the next 3 months (Apr, May & Jun), and so on – ignore the YEAR component of the dates (i.e., 3/11/2001 is considered the same date as 3/11/2002, etc.). Also compute the average for the “whole” year (again ignoring the YEAR component, meaning simply compute AVG) along with the total quantities (SUM) and the counts (COUNT).
5. For each combination of customer and product, output the maximum sales quantities for NJ, NY and CT in 3 separate columns. Like the first report, display the corresponding dates (i.e., dates of those corresponding maximum sales quantities). Furthermore, show the output only if maximum for NY is greater than NJ or CT.
The following is a sample output – quantities displayed are for illustration only (not the actual values). For dates (e.g., MAX_DATE, MIN_DATE), you can display ‘month’, ‘day’ and ‘year’ as 3 separate columns – i.e., you don’t need to concatenate them into MM/DD/YYYY format.
Report #1:
CUSTOMER
MIN_Q
MIN_PROD
MIN_DATE
ST
MAX_Q
MAX_PROD
MAX_DATE
ST
AVG_Q
========
=====
========
==========
==
=====
========
==========
==
=====
Bloom
12
Pepsi
01/01/2006
NJ
2893
Apple
09/25/2001
NY
1435
Sam
1
Milk
02/15/2002
NJ
259
Banana
03/23/2004
CT
56
Emily
2
Bread
07/01/2005
NY
3087
Milk
02/02/2001
NJ
1512
....
Report #2:
CS 561
Page 1 of 2
Database Management Systems I
Spring 2020
Grading
Submission
MONTH MOST_PROFIT_DAY MOST_PROFIT_TOTAL_Q LEAST_PROFIT_DAY LEAST_PROFIT_TOTAL_Q
=====
===============
===================
================
====================
1
12
497214
31
55526
2
23
1874794
15
23126
3
4
974531
2
19958
....
Report #3:
PRODUCT MOST_FAV_MO LEAST_FAV_MO
=======
===========
============
Egg
4
12
Apple
1
11
Banana
3
2
....
Report #4:
CUSTOMER
PRODUCT Q1_AVG Q2_AVG Q3_AVG Q4_AVG AVERAGE TOTAL COUNT
========
=======
======
======
======
======
=======
=====
=====
Sam
Pepsi
1923
4241
2383
1325
2988
38848
13
Emily
Milk
239
9872
142
2435
2663
21307
8
Helen
Bread
2534
981
4239
1987
2781
25032
9
....
Report #5:
CUSTOMER
PRODUCT
NJ_MAX
DATE
NY_MAX
DATE
CT_MAX
DATE
========
=======
======
==========
======
==========
======
==========
Sam
Egg
7908
01/11/2001
2405
07/24/2005
1932
11/03/2008
Helen
Cookies
392
03/31/2002
1042
09/14/2000
811
07/23/2002
Bloom
Butter
1045
09/22/2003
2023
03/10/2004
2988
09/11/2006
NOTE: A query with syntax errors will lose 50% of the points for the query.
Submit a file containing all of the 5 queries or 5 separate files with each query in a separate file with your name and CWID on it on Canvas. If you create 5 separate files, please place them in a ZIP file and submit the ZIP file.
Please include a “README” file if any special instructions are required.
You can discuss the “ideas” with your class mates or your friends, but the final queries must be your own work. If I determine that your queries are copies of someone else’s, both you and that someone else will be disciplined (you will receive 0 for the entire assignment) and possibly receive additional penalties for the course.
CS 561 Page 2 of 2
Database Management Systems I
Spring 2020