Cashmere School District

It seems like you're trying to create a structured dataset of company information. Here's a breakdown of what you've provided and how we can make it more useful: **What You Have:** You've started with a list of key-value pairs representing company attributes. This is a good foundation for a structured dataset. **Example:** ```json { "name": "Cashmere School District", "industry": "Education", "country": "United States", "state": "WA", "city": "Cashmere", "employees": "10", "revenue": "$2.5M", "url": "cashmere.wednet.edu", "bio": "Cashmere School Dist 222 is an education management company based out of 300 Tigner Rd, Cashmere, WA, United States." } ``` **How to Improve It:** 1. **Consistent Formatting:** - Use consistent capitalization (e.g., "Industry" vs. "industry"). - Use consistent data types (e.g., numbers for "employees" and "revenue"). 2. **Standardize Values:** - Consider using standardized codes for industries (e.g., NAICS codes). - Use a consistent format for dates (e.g., YYYY-MM-DD). 3. **Expand Data Points:** - Add more relevant fields: - Founded date - CEO name - Number of locations - Products or services offered - Social media links 4. **Data Source:** - Include information about where the data was sourced from (e.g., company website, public database). **Example with Improvements:** ```json { "name": "Cashmere School District", "industry": "Education", "naics": "611110", // Example NAICS code for Elementary and Secondary Schools "country": "United States", "state": "WA", "city": "Cashmere", "employees": 10, "revenue": 2500000, // Assuming $2.5M "founded": "1900-01-01", // Example date "url": "cashmere.wednet.edu", "bio": "Cashmere School Dist 222 is an education management company based out of 300 Tigner Rd, Cashmere, WA, United States.", "source": "Company Website" } ``` **Tools for Working with Structured Data:** - **JSON:** A common format for exchanging data. - **CSV:** Comma-separated values, a simple format for spreadsheets. - **Databases:** Structured databases like MySQL, PostgreSQL, or MongoDB are great for storing and querying large datasets. Let me know if you have any more questions or want help with specific aspects of structuring your data!