Pasadena Facility Inventory Status Of Plants As Of September

Sheet1pasadena Facility Inventory Status Of Plantsas Of September 30s

Analyze the inventory data of plants at the Pasadena facility as of September 30, including total items in stock, average, median, lowest, and highest prices, as well as details on specialty plant types, categories, and stock levels. Utilize Excel functions and formatting tools to manipulate and summarize the dataset, perform calculations, organize the data into tables, and prepare a professional report suitable for presentation or printing.

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The Pasadena facility's plant inventory as of September 30 provides a comprehensive overview of stock quantities, pricing, and categorization of various plants, offering insights into both the diversity and value of the inventory. Analyzing such data involves several key steps, including data organization, calculation of summary statistics, data cleaning, and formatting reports for clarity and professional presentation.

First, the data set encompasses a total of 1,650 items in stock, with prices ranging from a low of $18.00 to a high of $175.00, reflecting a diverse price spectrum. The average retail price stands at approximately $56.90, with a median price of $49.00, indicating a central tendency consistent with the distribution of plant prices. This quantitative summary provides a foundation for evaluating the overall value of inventory held by the Pasadena facility.

An essential step in inventory analysis involves categorizing the plants by type, such as specialty, fall color, patio roses, container plants, edible, bonsai, and showy plants. The dataset specifies six primary plant categories, with a total specialty plant stock of 1,419 items. This high proportion underscores the importance of specialty plants within the inventory, which could be targeted for marketing or sales strategies.

Data cleaning involves refining the dataset for accurate analysis. For example, replacing all occurrences of "Vine Roses" with "Patio Roses" in the category column ensures consistency. This correction aids in precise categorization, which is vital for subsequent filtering and reporting. Additionally, splitting combined data into distinct columns (such as item number and category) facilitates better data management, which can be efficiently achieved through Excel's Text to Columns feature or Flash Fill tool, depending on the user's platform.

Calculations of inventory statistics are critical for decision-making. Using Excel functions, one can calculate the total items in stock by summing the 'Quantity in Stock' column. Similarly, functions like AVERAGE, MEDIAN, MIN, and MAX compute key price statistics—average price, median price, lowest, and highest prices respectively. These calculations assist in assessing the price distribution and inventory valuation. Applying appropriate number formats, such as Comma Style or Accounting, enhances readability and professional appearance of the results.

Data organization and presentation require formulating clear and visually appealing reports. Moving relevant data to designated sections, applying cell styles (such as Accent styles for emphasis), and AutoFitting columns improve usability. Merging and formatting header cells, setting cell orientation, applying themes, and adjusting page layout ensure the report is ready for printing or sharing digitally. Setting print titles, adjusting page orientation to landscape, centering content, and fitting columns on a single page optimize the report for presentation purposes.

Advanced features, including creating tables with headers, inserting total rows, applying conditional formatting based on stock levels, and filtering data by category, enable dynamic data exploration. For instance, identifying items with low stock (less than 50 units) using IF functions highlights products requiring reordering, which is vital for inventory management. Conditional formatting, such as green data bars for quantity in stock and bold italics for items marked to order, visually directs attention to critical data points.

Finally, compiling a professional report involves merging and centering titles, applying style themes (such as Mesh), and ensuring all data is neatly organized. The report should include a summary of stock levels, pricing, and categorization, supported by well-formatted tables and charts if necessary. Saving and submitting the report completes the analytical process, providing the Pasadena facility with actionable insights into their current plant inventory.

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