***PLEASE WRITE ALL OF THE QUERIES FOR EACH USING ORACLE/SQL FORMAT, THANK YOU***

1. List the total number of parts ordered on each day. Rank your results in ascending order on order date.

List the full name and mailing address of customers who placed an order on 04-AUG-2013. If same customer has placed more than one order on this day, only show his/her information once.

List the order date, order number, total quoted price for each order placed between 03-AUG2013 and 06-AUG-2013.

List the average commission rate (rename to AVG_RATE) and the highest total commission (rename to MAX_COMMISSION) of sales representatives who sold SG class items.

2. List the warehouse number and the total number of orders from each warehouse.

List the full name of the sales representatives, order number, and total quoted price for each order (rename to TQP) handled by each sales representative.

List the part number and part description of parts with units on hand higher than the average units on hand across all parts.

List the full name and credit limit of customer who bought a Gas Grill.

3. List the warehouse number and total dollar amount of all items sold from that warehouse. Rename the calculated column TOTAL_VALUE. TOTAL_VALUE=SUM(NUMBER_ORDERED*QUOTED_PRICE).

List the part description of the part with the most units on hand.

List the part description of the part that was sold the most (in terms of total number ordered).

List the full name and number of different parts for each order each customer has placed. Rename the calculated column as TOTAL_PARTS.

4. List the order date of an order containing a part description with letter D (or d) in it.

List the customer name of those who purchased products with a unit price of more than $150.

List sales representative number and the number of customers handled by each sales representative who got paid at most as the average total commission. Rename the number of transactions as NO_Customers.

lable Name Rows Last Analyzed ype TABLE TABLE TABLE TABLE TABLE TABLE TABLE TABLE CUSTOMER NEWCUST NEWTAB2 ORDERS ORDER LINE PART PRICE_UPDATES SALES REP lable Name Rows Last Analyzed ype TABLE TABLE TABLE TABLE TABLE TABLE TABLE TABLE CUSTOMER NEWCUST NEWTAB2 ORDERS ORDER LINE PART PRICE_UPDATES SALES REP