# Spreadsheet Generator
The Spreadsheet Generator agent is designed to create customizable CSV spreadsheets based on user-defined parameters. Users can specify the type of data they need (such as sales data or employee records), set the column headers for the spreadsheet, determine the number of rows, and include any additional requirements for the data. This agent provides a straightforward way to quickly generate well-organized, realistic datasets that can be used for analysis, reporting, or any data-related tasks.
# Getting Started
To get started, make sure you have cloned the Spreadsheet Generator. Follow Create from Template to clone and configure your AI agent.
# Configuration Instructions
# Knowledge
You can upload .pdf or .txt files to provide the agent with tailored context that meets your specific requirements.
# User Inputs
| Field Title | Description | Instruction |
|---|---|---|
| Data Type | The type of data to include in the spreadsheet. | Specify a general category like sales data, employee records, or inventory. |
| Column Headers | The headers for each column in the spreadsheet. | List column names separated by commas (e.g., Name, Age, Sales Amount). |
| Number of Rows | The total number of rows to include in the spreadsheet. | Enter a minimum of 10 for the number of rows, keep it reasonable for your data type. |
| Additional Requirements | Any special conditions or constraints on the data. | Provide specific directives like "include only active employees" or "sales data from Q1". |
# AI Models
The default model is Llama 3.1 8B Instruct, but you can explore other supported AI models as well. If needed, refine your prompts for more tailored outputs.
TIP
For more detailed instructions on configuring an AI agent, please refer to Configure AI Agent
# Sample Inputs and Output
# Sample Inputs
- Data Type: employee records
- Column Headers: Name, Age, Department, Salary
- Number of Rows: 20
- Additional Requirements: Include only full-time employees.
# Sample Output
Name, Age, Department, Salary
John Doe, 30, Engineering, 60000
Jane Smith, 28, Marketing, 55000
Alice Johnson, 35, HR, 70000
Bob Brown, 40, Engineering, 75000
Emily Davis, 22, Marketing, 45000
Charlie Wilson, 50, HR, 80000
Ella Thompson, 29, Engineering, 62000
Liam Garcia, 32, Marketing, 57000
Sophia Martinez, 37, HR, 72000
Noah Anderson, 45, Engineering, 78000
...
# Tips for Effective Configuration
- Be Specific: The more specific you are with the data type and additional requirements, the better the generated data will fit your needs.
- Validate Column Headers: Ensure that the column headers are logically related to the data type you choose for meaningful outputs.
- Consider Data Diversity: When specifying additional requirements, think about how they will affect the diversity and realism of the data.
- Test with Varied Inputs: Try different combinations of inputs to see how the outputs change, which can help you refine your requirements.
- Stay Within Character Limits: Keep names and data values within reasonable lengths to maintain clarity in the generated spreadsheet.
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