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Homework #4 ~ Single Table Queries 1) Create a query that will show the name of

ID: 3597720 • Letter: H

Question

Homework #4 ~ Single Table Queries


1) Create a query that will show the name of each customer and their phone number for all customers who live in Shelby township. Make sure the first and last name of the customer appears as one column. Additionally make sure your query accommodates for the multiple spellings of Shelby Township. My output looked like the following:

Customer Name        phone
------------------------------- ------------
LeMay Joe                NULL
Fanthon James         586-262-4533
Fanthon Amanda      586-262-4533
Stark Rob                586-555-2237

2) Create a query that will show those items that sold for between $10 and $20. Include in your query the item id and price column. Order your output by the highest priced item. Your output should look like the following:

itemid    price
----------- ---------------------------------------
1049    20.00
1003    15.50
1046    15.00
1067    12.00
1041    12.00
1016    11.95
1013    10.50
1023    10.50
1006    10.00
1085    10.00


3) Create a query that will show the order id, item id, price, sales tax and subtotal for all items in the order item table. Create column aliases to describe the sales tax and subtotal columns. Only include in your output those items that sold for $20 or more. Order your output by order id. Your output should look like the following:

orderid        Item ID        Price            Sales Tax        Subtotal
-----------        -----------    --------------- --------------- ---------------
1004            1004         32.50            1.9500            34.4500
1016            1020         47.95            2.8770            50.8270
1018            1018         47.50            2.8500            50.3500
1019            1017         80.00            4.8000            84.8000
1020            1019         30.00            1.8000            31.8000
1021            1031         25.99            1.5594            27.5494
1031            1029         82.50            4.9500            87.4500
1032            1037         85.00            5.1000            90.1000
1033            1032         100.00           6.0000           106.0000
1035            1038         145.00           8.7000           153.7000
1036            1049         20.00             1.2000           21.2000
1038            1054         57.50             3.4500           60.9500
2001            2000         175.50           10.5300         186.0300
2002            2002         125.00           7.5000           132.5000
3021            2030         35.00             2.1000           37.1000
3022            2031         145.00           8.7000           153.7000


4) Using #3 as a starting point, format the price, Sales Tax and Subtotal columns to include the dollar sign. Also shorten these columns. Finally round the Sales Tax and Subtotal columns to 2 decimal places. Hint: There are a few ways you can solve this. One way is to use the ROUND function. Another is to convert the price, sales tax and subtotal to the money data type. Either way involves nesting multiple functions. Remember to work in iterations here. My output looked like the following:

orderid    itemid        Price        Sales Tax    Subtotal
-----------   -----------     ----------- ----------- -----------
1004        1004        $32.50        $1.95        $34.45
1016        1020        $47.95        $2.88        $50.83
1018        1018        $47.50        $2.85        $50.35
1019        1017        $80.00        $4.80        $84.80
1020        1019        $30.00        $1.80        $31.80
1021        1031        $25.99        $1.56        $27.55
1031        1029        $82.50        $4.95        $87.45
1032        1037        $85.00        $5.10        $90.10
1033        1032        $100.00      $6.00        $106.00
1035        1038        $145.00      $8.70        $153.70
1036        1049        $20.00        $1.20    $21.20
1038        1054        $57.50        $3.45        $60.95
2001        2000        $175.50      $10.53       $186.03
2002        2002        $125.00      $7.50       $132.50
3021        2030        $35.00        $2.10        $37.10
3022        2031        $145.00      $8.70        $153.70


5) Create a query that will replace the null for termdate in the workers table with the text 'Current Employee'. Include in your output the people id, hire date and term date. Rename the term date column to Current. Order your output so that the current employees show at the top. Hint: This query can be solved a number of ways. If you try to use COALESE() only, you will get an error. The function COALESCE(), will look for nulls and replace with text. Since the term date field is not a text field you will need to convert it to a text field before using COALSCE(). My output looked like the following:

PeopleID    hiredate    Current
----------- ---------- ----------------
1045        2013-05-01    Current Employee
1047        2012-08-22    Current Employee
1055       2012-08-22    Current Employee
1060        2009-01-25    Current Employee
1066        2010-06-22    Current Employee
1073        2014-03-04    Current Employee
1079        2014-02-04    Current Employee
2010        2010-06-22    Current Employee
2014        2010-04-01    Current Employee
1003        2011-12-10    Current Employee
1007        2011-01-25    Current Employee
1009        2012-05-24    Current Employee
1021        2011-11-04    Current Employee
1029        2010-02-10    2014-02-05
1016        2010-06-22    2014-01-15
1040        2010-01-15    2013-08-20
1035        2011-05-05    2013-08-06
1005        2010-10-15    2012-05-14


6) Create a query that will show those employees that have left Auntie B's and how many years they were employed. In your output include people id and the number of years employed. Title this last column "Years Employed". Your output should look like the following:

PeopleID    Years Employed
----------- ---------------
1005        2
1016        4
1029        4
1035        2
1040        3


7) Create a query that will show the item id, size, max and min price for all those items that have a size of Large, Extra Large or Extra Extra Large. Before writing this query make sure you know how the size data is stored. Sort your output by size. My output looked like the following:

itemid        size            MaxPrice                                MinPrice
----------- --------------- --------------------------------------- ---------------
1061        L                 2.50                             1.50
1084        L                 10.00                           2.00
1085        XL                30.00                        5.00
1073        XL                45.00                        37.50
1005        XL                45.00                        37.50
1043        XL                5.00                            2.00
1056        xL                2.99                            0.99
1031        XXL              25.99                        18.00


8) Create a query that shows those items that have sizes: 8 - 10, 10 - 12, 12 - 14 and 14 - 16 and have a max price greater than or equal to $5. Include in your output, the item id, size and max price. Make sure to order your output by max price so that the higher priced items are at the top. My output looked like the following:

ItemID        size            MaxPrice
----------- --------------- ---------------------------------------
1016        10 - 12        12.00
1009        12 - 14        5.50
1015         8 - 10         5.00


9) Auntie B's has decided to hold a sale on toddler clothing. Toddler clothing ranges in sizes 2T - 6T and 6X. Create a query that will determine a 20% discount on the max price for each piece of toddler clothing. Since we do not know which item type id's are for toddler clothing yet, filter your query based on the sizes. Rename your columns as you see below and round the price to two decimals. My output looked like the following:

Item ID    Price    Discount    Discounted Price
----------- ------    ----------    ---------------------------------------
1000        5.00    1.0000        4.0000
1001        7.50    1.5000        6.0000
1002        10.50    2.1000        8.4000
1021        3.50    0.7000        2.8000
1048        4.00    0.8000        3.2000
1050        8.00    1.6000        6.4000
1058        2.99    0.5980        2.3900
1060        1.99    0.3980        1.5900
1068        5.00    1.0000        4.0000
1069        7.50    1.5000        6.0000
1070        10.50    2.1000        8.4000


10) Auntie B's wants to know who their loyal customers are. Create a query that will show the people id, customer since date and the number of years someone has been a customer at Auntie B's. Only show those customers that have been with Auntie B's for 5 or more years. Sort your output by the number of years someone has been a customer so that those who have been a customer the longest are on top. My output looked like the following:

peopleid    CustomerSince        Years Customer
----------- -------------    --------------
2013        2005-04-01        10
2011        2007-04-01        8
1057        2008-09-27        7
1059        2009-08-09        6  
1063        2010-06-01        5
1064        2010-08-04        5
1065        2010-09-10        5
1001      2010-06-01        5          
1002        2010-08-04        5  
1004        2010-09-10        5  
1006        2010-10-24        5  
1008        2010-11-05        5  
1012        2010-02-14        5
1014        2010-04-01        5
1015        2010-06-24        5
1019        2010-03-18        5
1020        2010-07-05        5
1022        2010-09-20        5
1023        2010-09-20        5
1024        2010-10-21        5
1048        2010-09-11        5
1052        2010-09-11        5

AuntiB sql File: https://drive.google.com/open?id=0BwasM-ovulfxcF9VX2RFbmUyU2M

Explanation / Answer

Hi,
Answering the 1st 4 sub parts as per chegg policy, please post others as separate question.
1. select CONCAT(FirstName, LastName ) as 'Customer Name',Phone from people where address like '%shelby%';
2. select a,itemId,a.price from ORDER_ITEM a,ITEM b where a.ItemID=b.ItemID and a.price>= 10 and a.price<=20 order by a.price
3.select a.OrderIDa,itemId,a.price,16.66*(a.price) as 'sales tax',(a.price+16.66*(a.price)) as 'sub total' from ORDER_ITEM a,ITEM b where a.ItemID=b.ItemID and a.price>=20;
4. select a.OrderIDa,itemId,CONCAT($,round(a.price)),CONCAT($,round(16.66*(a.price))) as 'sales tax',CONCAT($,a.price+round(16.66*(a.price)))) as 'sub total' from ORDER_ITEM a,ITEM b where a.ItemID=b.ItemID and a.price>=20;
Thumbs up if this was helpful, otherwise let me know in comments

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