In This Project, You Work With A Greenhouse Database ✓ Solved

In this project you work with a greenhouse database. Improve

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.

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. Hint: Include a wildcard character in the criterion for the Position field. 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. 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. Save the export steps with the name: NewPlantsExport.

Create a new query named: RedPlantSale. 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. Hint: Use an expression that calculates the value of the PurchasePrice field multiplied by 0.75. Use the name SalePrice for the new field. 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. 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 from the Plants table to the query: CommonName, PrimaryColor, DatePlanted, PurchasePrice. Configure the PrimaryColor field so the user is prompted to enter the primary plant color with this message: Enter 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. Close the table. There should be one record in the results. Close the database and exit Access. Upload and save your project file. Submit project for grading.

Paper For Above Instructions

The greenhouse database project serves as a comprehensive exercise in enhancing database functionality through structured querying and data export. This detailed guide illustrates the execution of various queries aimed at extracting relevant information and the methodology for exporting results effectively. By practicing these techniques, one becomes proficient in managing data with Microsoft Access, fostering a deeper understanding of relational databases.

Creating the GreenhouseTechsFT Query

The first task involves generating a query titled GreenhouseTechsFT. This query targets the Employees table to identify employees whose job titles commence with the term "greenhouse" and work at least 20 hours weekly. To achieve this, a wildcard character is essential within the criteria for the Position field. Additionally, sorting the output alphabetically by last name enhances readability. The incorporation of the MaintenanceLog table to include maintenance dates enriches the dataset, allowing for a comprehensive overview of employee workload relative to maintenance activities. The query should yield 16 records, underscoring its effectiveness.

Exporting to Excel

After constructing the query, the next step is exporting the results to an Excel spreadsheet. Naming the file GreenhouseTechsFT and ensuring proper formatting are crucial to maintain professional standards and usability. Saving the export steps as GreenhouseTechsFTExport facilitates future exports, demonstrating an understanding of process efficiency in data management.

Creating the NewPlants Query

Continuing, the NewPlants query is generated by drawing fields from the Plants table while omitting the ScientificName. This query focuses on identifying white or blue plants planted since January 1, 2019. Sorting these results by the DatePlanted field guarantees that the newest plants appear first, allowing for efficient inventory management. The expected outcome is three records.

Exporting NewPlants

Next, the NewPlants query results are exported to a text file named NewPlants, utilizing tab delimiters and including field names in the header. Saving the export steps under NewPlantsExport emphasizes the significance of reusable processes in database management.

Creating the RedPlantSale Query

The RedPlantSale query focuses on analyzing red plants from the Plants table. By excluding the color field from the display and adding a calculated field to determine a sale price at 75 percent of the original purchase price, this query provides valuable insights into pricing strategies. There should be five records confirmed from the query execution.

Finding Unmatched Records

Employing the Find Unmatched Query Wizard, a new query named PlantsMissingMaintenance is created to identify plants without maintenance entries. This procedure involves excluding the PlantID from the output, resulting in 15 records, showcasing the integrity of data management.

Creating a Parameter Query

Establishing a parameter query called PlantsByColor involves prompting users to input a desired plant color. Testing the query with "violet" should return three plant records, reflecting the database's responsiveness to user inputs and requirements.

Final Filters and Conclusions

The last procedures include filtering the MaintenanceLog to reveal plants that have been watered and pruned, ultimately leading to one record of interest. Closing out the database and submitting the project signifies the culmination of learned skills in database management.

Conclusion

This project effectively demonstrates various querying strategies and data export techniques in a greenhouse database context. Mastery of these skills not only enhances database functionality but also prepares individuals for more complex data management tasks. Through practical application in Microsoft Access, users develop critical skills necessary for data-driven decision-making in horticultural practices.

References

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