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Custom Spreadsheet Design

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This prompt is perfect for users who need to design a spreadsheet to track and organize data effectively. Users should consider the type of data to be tracked, specific fields, organizational needs, and any specific analysis or functionality the spreadsheet should provide. Follow @nicky on Promptbase for more prompts!
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Over 1 month ago

Prompt Details

Model
Chat - GPT-4 (gpt-4)
Token size
110 ($0.00330 / call)
Example input
Type of Data to Track: Monthly sales data Specific Fields: Date, Item, Quantity, Price, Total Sale Organizational Needs: Track sales over time, identify best selling items Specific Analysis or Functionality: Monthly sales summary, Top 5 best selling items
Example output
Spreadsheet Design: The spreadsheet design will have five main columns to input the relevant data: Date, Item, Quantity, Price, and Total Sale. The 'Date' field will have a data validation where only dates can be entered. This would assist in keeping track of the sales chronologically and help to analyze monthly or annual sales trends. The 'Item' column will contain a dropdown list of the items sold by the company to ensure consistency and accuracy. The 'Quantity' and 'Price' columns will only allow numeric entries, where quantity refers to the number of units sold and price is the cost per unit. The 'Total Sale' column will be a formula field that multiplies the 'Quantity' by the 'Price' to give the total sale amount for that particular item on the given date. In addition to these columns, a separate worksheet will be designed for analysis. This will include: A 'Monthly Sales Summary' which will use the SUMIF formula to calculate the total sales for each month. This would be represented in a table and also a line graph for easy visual understanding of sales trends. A 'Top 5 Selling Items' section, which will use the COUNTIF function to identify the items with the highest quantities sold. This can be presented in a table and a bar graph to clearly depict the best performing items. This design allows for easy input and tracking of sales data while also providing useful analytical tools to aid in decision making. The design ensures all necessary information is captured while avoiding unnecessary complexities, making it user-friendly and effective. Also, using dropdowns and formulas reduces the risk of errors and inconsistencies in the data.
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