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Please us tables attached!
Create two database forms that allow a user of the database to enter new records and update records in two of the tables created in the database started in Week Four.
Create a database menu that allows the user of the database to select the two forms.
Create the queries defined in the Database Design Document.
Add an input mask to four of the fields in the database to validate data entered into the tables.
Follow all of the specifications established in the Database Design Document.
Post the database file as an attachment.
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UOP Wk 5 Medical Device Vulnerability Scoring Webpage with JavaScript Exercise
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The purpose of this assignment
is to perform association rules analysis to determine whether or not the
information generated can be used to address a specific business
problem.For this assignment, you will use the "Bakery" data set
from the Topic Materials. Most data categories are self-explanatory.
Clarifying notes are as follows.ReceiptID: Unique receipt ID (note that all items with the same receipt ID were purchased together)Item: Name of the food item that was purchasedA
bakery is interested in increasing sales by optimally displaying and
arranging its various baked goods and drinks. The bakery would like to
know which items are typically purchased together so it can place the
correlated items closer together in its display cases. The bakery has
randomly selected 1,000 receipts and compiled a list of items that were
purchased together for each receipt.As an analyst, you have been
asked to examine the data, summarize your findings, and recommend how
the bakery can use these findings to strategically arrange its bakery
products to increase sales. Use associative rules analysis to explore
the various dependencies among purchased items. Use the Apriori method
to do the analysis with a minimum antecedent support of 4%, minimum
confidence of 70%, and maximum number of antecedents of 5. Analyze and
interpret several of the resulting rules. Present your finding in the
form of a 250-word executive summary that includes relevant data,
charts, and tables, and addresses the following.Question 1: How
would you explain the concepts of support, confidence, and lift to an
executive who is unfamiliar with association rules analysis? Include the
Apriori method output chart when submitting the answer.Question 2: What would you say about the support of the rules derived from the Apriori analysis?Question 3: If
both an apple tart and an apple Danish were purchased, how likely is it
that an apple croissant is also purchased? Explain your answer.Question 4: Does
it make sense for the bakery to place all of its apple-flavored items
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