Company Overview
- Headquarters
- 1405 W 10th Ave, Corsicana TX
- Website
- leesroofinginc.com
- Employees
- 7
- Industry
- Construction Services
Financials & Stats
Revenue
$3B
Who is Lees Roofing
It seems like you're trying to create a structured data representation of a company, possibly for a knowledge graph or database. You've provided a snippet of data that looks like a mix of JSON and a free-form description. Let's clarify the format and structure to make it more useful. **Structured Data Format** Here's a more structured representation using JSON, a common format for representing data: ```json { "name": "Lees Roofing", "industry": "Construction", "country": "United States", "state": "TX", "city": "Corsicana", "address": "1405 W 10th Ave", "employees": 7, "revenue": "$2.5M", "url": "leesroofinginc.com", "bio": "Lees Roofing is a construction company based out of Corsicana, Texas, United States." } ``` **Explanation** * **Key-Value Pairs:** Each piece of information is represented as a key-value pair (e.g., "name": "Lees Roofing"). * **Data Types:** Values can be strings (text), numbers, or booleans (true/false). * **Nested Objects:** You can have nested objects to represent more complex relationships (e.g., an "address" object with separate keys for street, city, state, etc.). **Benefits of Structured Data** * **Machine Readable:** Computers can easily understand and process structured data. * **Searchable and Filterable:** Makes it easy to find specific information. * **Interoperability:** Different systems can exchange data more easily. * **Data Analysis:** Structured data is ideal for analysis and generating insights. Let me know if you have any other data you'd like to structure or if you have any more questions!
Company Leadership
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