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This is a simple assignment based on running a queries in Access.

Someone who knows about Access can complete this assignment in minimal time. I have uploaded the question instructions in pdf. Also, I have uploaded the data itself. That data has tables if you navigate on left and there are few queries already done. For example 1&2 is done as example.

ASSIGNMENT 2 I. OBJECTIVE The objective of this assignment is to help you learn how to query a database to obtain useful information. II. BACKGROUND This is a critical time in Waren Unlimited's growth. Decisions need to be made on how to best use expensive national air-time. You have been asked to review data collected from Waren Unlimited's first seven months of operations. The data is contained in a relational database. Answer the following questions by querying the database . Be sure to read the hints on developing simple queries UNDER the specific instructions . To complete this assignment you will need to download the Waren Unlimited database file. The file can be downloaded from BB. It will have six tables with data in them for the first seven months of Waren Unlimited operations. These tables are the same as the ones you developed in Access Assignment #1 except more data has been entered to better illustrate query development. DON'T FORGET TO CONSTANTLY SAVE YOUR DATABASE SO YOU DON'T EXPERIENCE THE FRUSTRATION OF LOSING YOUR WORK. III. PARTIAL REAL DIAGRAM Below you will find selected entities and relationship for Waren Unlimited. A complete database would consist of customer payment records, inventory purchases, etc. and would involve complete interactions between all aspects of the database. However, these few tables shown below will provide a representative exposure to relational databases and provide you with the understanding of their relationships. M* M Supplier Item Order Salesperson Customer Order- Item M 1 1 M* M 1 M M 1 1 Page 1
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(*Many-to-Many relationships are not allowed by Access and require a relationship (or bridge entity) table which resulted in the Order-Item Table. . The table titled “Order-Item” is necessary because inventory items have a many-to-many relationship with purchase orders. This means that any particular inventory item can be purchased by several customers while any one customer may purchase several different items. Therefore, the individual items included in each order are identified in the table “Order-Item”. Access turns the many-to-many relationship between the Item and Order tables into a One-to-Many relationship between Item and Order-Item and One- to-Many between Order and Order-Item tables.) The attributes (or fields) required in the tables are shown as follows: Customer = (Customer#, Name, Address, City, State, Zip, Age, Sex, Occupation) Item = (Stock#, [Supplier#], Description, Unit Cost, Sales Price, QOH, Air Time) Order = (PO#, [Customer#], [SSN], Date) Order-Item = ([PO#], [Stock#], Quantity) Salesperson = (SSN, Name, Commission Rate) Supplier = (Supplier#, Name, Address, City, State, Zip) The underline indicates the table’s primary key and the brackets, [ ], designate a foreign key . The primary key is the unique identifier for each item in the table. The foreign keys are derived from the relationships between the entities. The rule followed is the primary key of the "one" is placed in the table of the "many” as the foreign key. IV. GENERAL INSTRUCTIONS FOR DEVELOPING SIMPLE AND LINKED QUERIES See “To Develop Simple Queries” below before beginning the assignment. Simple Queries 1. List all customer names and occupations. Sort the query alphabetically by customer name. (A solution to this query is in your Waren Unlimited database as qry_Simple1 ). 2. List the item description, profit per unit in dollars, and gross margin percent for each item. (A solution to this query is in your Waren Unlimited database as qry_Simple2 ). Note the change in the “properties” by clicking the right mouse button with the pointer on the Gross Profit Percent field while in the Design View. The format has been changed to percent with 2 decimal places. 3. List all female customers from the ages of 25 to 35 and display their name and age. Sort in ascending order by age. Name this query qry_Simple3XX, where XX represents your Page 2
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