Esquivel Excel 2e Desserts Inventory Austin

Esquivel Excel 2e Desserts Inventory Asxlsxsheet1austin Facility Inv

Open the Excel workbook Student_Excel_2E_Desserts_Inventory_AS.xlsx. Insert two new columns to the right of column B, creating blank columns C and D. Use Flash Fill to split the data in column B into Item # (column C) and Item Name (column D), ensuring these columns have proper headings. Delete the original column B after splitting. Cut the entire column D (which contains Category), paste it into column H, and then delete the now empty column D. Apply AutoFit to columns A through G.

In cell B4, insert a SUM function to calculate the total items in stock by summing the Quantity in Stock data; format the result with Comma Style and zero decimal places. In cells B5 through B8, insert functions to compute the average, median, lowest, and highest retail prices; format each with Accounting Number Format. Move the range from A4:B8 to D4:E8, then apply the 20% - Accent4 cell style. Select columns D and E and auto-fit them.

In cell C6, type "Statistics". Select cells C4 through C8, merge these cells, and change the text orientation to 25 degrees. Format cell C4 with bold font, set font size to 14 pt, apply Middle Align, and Right Align. In the Category column, use Find and Replace to replace all instances of "Pastries" with "Danish".

In cell B10, employ the COUNTIF function to tally the number of "Cake" categories in the Category column. In cell H13, type "Stock Level". In cell H14, enter an IF function: if Quantity in Stock is less than 50, display "Order"; otherwise, display "OK". Fill this formula down through cell H42.

Apply Conditional Formatting to the Stock Level column so that cells containing "Order" are formatted with bold italic font, a specific font color from column H, and no fill color. Also, apply Gradient Fill Blue Data Bars to the Quantity in Stock column. Format the range A13:H42 as a table with headers, using "White, Table Style Light 18" or a similar style. Sort this table alphabetically by Item Name, filter to show only "Cake" categories, and add a Total Row. In cell A43, sum the Quantity in Stock for these Cake items, and replicate the same total in cell B11.

Select the table, go to the Design tab, and remove the total row. Clear the Category filter. Merge and center cell A1 across columns A to H and apply the Title style. Similarly, merge and center cell A2 across columns A to H and apply the Heading 1 style.

Change the theme to "Ion"—if unavailable, browse to locate and select Ion_Theme.thmx. Set the page orientation to Landscape, center the worksheet horizontally, and set row 13 to repeat at the top of each page. Insert a custom footer on the left with the filename. Adjust the print scale so the worksheet width fits on one page. Save and close the workbook, then submit it for grading.

Paper For Above instruction

The comprehensive management of inventory data is crucial for ensuring efficient operations within the food service industry. This paper discusses the detailed steps necessary to organize, analyze, and prepare a dessert inventory worksheet using Microsoft Excel, as part of a project focused on a dessert facility’s stock management. The procedure begins with fundamental data organization, including splitting combined data into distinct columns, which enhances clarity and facilitates analysis. By employing Flash Fill, the data for Item Numbers and Item Names, initially combined in a single column, can be efficiently separated, leading to more accurate data manipulation.

Subsequently, the process involves calculating key inventory metrics such as total items in stock, by summing the relevant quantities, and descriptive statistics like average, median, lowest, and highest retail prices. These metrics are vital for understanding stock levels and pricing strategies. Moving these calculations to a separate data range and applying cell styles improves readability and aesthetic appeal. Merging cells and changing text orientation for the "Statistics" header facilitate better presentation, emphasizing the statistical analysis within the worksheet.

Data replacement, such as changing category descriptions (e.g., "Pastries" to "Danish"), ensures up-to-date classifications, enhancing report accuracy. Counting specific categories, like "Cake" desserts, provides insights into inventory composition. The insertion of an IF function to determine whether items need to be reordered automatically flags items with low stock levels (

Transforming the dataset into a formatted Excel table with specific styles supports better data management and presentation. Sorting and filtering functionalities allow focused views, such as displaying only "Cake" items. Adding total rows consolidates data for quick totals, and summing the Quantity in Stock for filtered items provides key stock information. Removing the total row afterward helps maintain worksheet clarity, and unfiltered views restore comprehensive oversight.

Aesthetic enhancements include merging and centering titles over the entire worksheet, applying thematic styles, and setting page layout options. Switching themes, such as to "Ion," personalizes the worksheet’s visual style, which impacts readability and professionalism. Setting print options—like centering the worksheet horizontally, repeating header rows, adding custom footers, and scaling the print to fit on one page—ensures the worksheet is presentation-ready for reports or meetings. Saving the file finalizes these modifications, making the dataset both informative and visually appealing, crucial for operational decision-making in a commercial setting.

References

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• Microsoft Support. (2023). Create and format tables in Excel. Retrieved from https://support.microsoft.com/en-us/excel
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• Harvard Business Review. (2019). How to Optimize Inventory Management with Data Analytics. Retrieved from https://hbr.org
• Excel Campus. (2023). Mastering Excel Tables and Data Sorting. Retrieved from https://www.excelcampus.com
• TechRepublic. (2021). Customizing Excel Themes and Page Layout Options. Retrieved from https://www.techrepublic.com
• Wang, Y. (2020). The Impact of Visual Data Representation on Business Decisions. Decision Support Systems, 138, 113393.
• Gaskins, L. (2022). Professional Excel Formatting and Presentation. O'Reilly Media.