Sales Order Date, Region, Sales Person, Shoe, Number Of Pair ✓ Solved

Sales Order Date Region Sales Person Shoe # of Pairs

In this project you work with a greenhouse database. Improve the functionality of this database by creating a variety of queries and exporting the query results to both an Excel spreadsheet and a tab-delimited text file. Skills needed to complete this project: Using the Simple Query Wizard, Creating a Query in Design View, Adding Text Criteria to a Query, Adding Numeric and Date Criteria to a Query, Using AND in a Query, Specifying the Sort Order in a Query, Exporting Data to Excel, Using OR in a Query, Combining AND and OR in a Query, Exporting Data to a Text File, Hiding and Showing Fields in a Query, Adding a Calculated Field to a Query, Finding Unmatched Data Using a Query, and Using a Parameter Query.

Open the start file AC2019-ChallengeYourself-3-3. If the database opens in Protected View, click the Enable Content button in the Message Bar at the top of the database so you can modify it. Create a new query named: GreenhouseTechsFT. Add all the fields from the Employees table. The query should list all employees whose Position begins with the word greenhouse and whose weekly hours are greater than or equal to 20. Modify the query design so results are sorted alphabetically by last name. Add the MaintenanceLog table to this query and include the MaintenanceDate field after the WeeklyHours field. Run the query to review the results. There should be 16 records in the results. Save and close the query.

Export the GreenhouseTechsFT query to an Excel spreadsheet. Name the Excel file: GreenhouseTechsFT, include formatting and layout, and save the export steps with the name: GreenhouseTechsFTExport. Create a new query named: NewPlants. Add all the fields from the Plants table except ScientificName. The query should list all white or blue colored plants whose DatePlanted is greater than or equal to 1/1/2019. Modify the query design so results are sorted by values in the DatePlanted field with the newest plants listed first. Run the query to review the results. There should be three records in the results. Save and close the query.

Export the NewPlants query to a text file. Name the text file: NewPlants, use Tab as the delimiter, include the field names in the first row, and save the export steps with the name: NewPlantsExport. Create a new query named: RedPlantSale and add the following fields from the Plants table to the query: CommonName, PrimaryColor, PurchasePrice. Select only those plants with a red color, but don't show this field in the query results. Add a calculated field that displays a sale price that is 75 percent of the purchase price. Run the query to review the results. There should be five records in the results. Save and close the query.

Use the Find Unmatched Query Wizard to create a new query that identifies the plants that have no entry in the MaintenanceLog. Include all fields from the Plants table except the PlantID and name this query: PlantsMissingMaintenance. Review the query results. There should be 15 records in the results. Close the query. Create a new parameter query named: PlantsByColor. Add the following fields: CommonName, PrimaryColor, DatePlanted, PurchasePrice and configure the PrimaryColor field so the user is prompted to enter the primary plant color. Test the query using the color violet. There should be three records in the results. Save and close the query.

Open the MaintenanceLog table, apply a filter that shows only those plants that have been watered and pruned and close the table. There should be one record in the results. Close the database and exit Access. Upload and save your project file and submit project for grading.

Paper For Above Instructions

In today's data-driven world, effective database management is essential for any business or organization seeking to maintain an efficient workflow. This paper explores how to enhance a greenhouse database's functionality, thereby aiding in its ability to manage employee and plant data effectively. By employing various querying techniques available within Microsoft Access, users can derive valuable insights from the data, ensuring informed decision-making processes.

The first step of the project involves opening the provided Access database. If the database opens in Protected View, it is crucial to click the "Enable Content" button located in the Message Bar to grant modification rights. Once inside, the objective is to create a query called "GreenhouseTechsFT," which will help identify employees based on specific criteria. This query must encompass all fields from the Employees table while being tailored to list employees whose positions start with the term "greenhouse" and who work 20 hours or more weekly. To implement this, one can use the wildcard character in the criterion for the position field, allowing for flexible searching. Moreover, sorting the results alphabetically by last names will ensure the information is presented in a manageable format, facilitating further analysis.

Following the establishment of the first query, it's critical to integrate the MaintenanceLog table into the "GreenhouseTechsFT" query, particularly linking the MaintenanceDate field immediately after WeeklyHours. Running the query will yield results, ideally showing a total of 16 records, confirming the query's accuracy. This process highlights the importance of testing queries to ensure they meet the desired criteria, providing reassurance of the data's reliability.

Next, the project stipulates the need to export the "GreenhouseTechsFT" query's results to an Excel spreadsheet. By naming the file accordingly and ensuring formatting and layout are included, users can leverage Excel's robust analytical tools to further dissect the data. The export process must be saved under the name "GreenhouseTechsFTExport" for future reference and ease of access.

The second query, "NewPlants," requires the addition of multiple fields from the Plants table, specifically excluding the ScientificName. This query's primary aim is to uncover white or blue plants that have a planting date from January 1, 2019, onward. Furthermore, it is required that the results are sorted by DatePlanted in descending order, showcasing the newest plants first. Running this query should yield three records, demonstrating its successful execution.

Continuing with the project requirements, exporting the results of the "NewPlants" query to a tab-delimited text file named "NewPlants," complete with field names in the first row, is essential. Following this, users will create another query, "RedPlantSale," focused on red-colored plants. This step involves selecting relevant fields while incorporating a calculated field to determine the sale price as 75% of the purchase price. Upon executing this query, five records should be visible, indicating effective filtering and calculation processes.

Further enhancing the database, a Find Unmatched Query Wizard search will spotlight plants lacking entries in the MaintenanceLog, culminating in the creation of the "PlantsMissingMaintenance" query. This query aims to provide vital insights into plants without maintenance records, with an expected outcome of 15 records identified.

Moreover, by constructing a parameter query named "PlantsByColor," users can interactively prompt for input regarding the primary color of plants, setting the stage for dynamic data exploration. Testing with violet should return three results, further validating the query's purpose.

Lastly, accessing the MaintenanceLog table to filter plants that have received watering and pruning concludes the project's data examination phase. Closing this table, which should yield a single record illustrating plants consistently maintained, is crucial for comprehensive management.

Following the data exploration and query creation process, it is necessary to save and submit the project file for grading, confirming all steps have been methodically followed and executed.

References

• Microsoft. (2019). Microsoft Access 2019. Retrieved from https://www.microsoft.com/en-us/microsoft-365/access
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• Cox, E. (2019). Microsoft Access 2019: Beginner's Guide. Independently published.
• Robinson, S. (2021). Master Microsoft Access 2016 - Create a Database. Udemy.
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