Company Overview
- Headquarters
- 12121 Wickchester Ln., Suite 750, Houston TX
- Website
- blackfinoffshore.com
- Phone
- (713) 904-4295
- Employees
- 12
- Founded in
- 2016
- Industry
- Oil Gas Coal
Financials & Stats
Revenue
$10B
Who is Blackfin Offshore
It seems like you're trying to build a database of companies with information about them. 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 companies, each represented as a dictionary. Each dictionary contains key-value pairs representing different attributes of the company. **Example:** ```python {"name": "Blackfin Offshore", "industry": "Fuel", "country": "United States", "state": "TX", "city": "Houston", "employees": "12", "revenue": "$10K", "url": "blackfinoffshore.com", "bio": "Blackfin Offshore offers a full range of Engineering, Design, and Project Management"} ``` **What We Can Do:** 1. **Structure for a Database:** This format is a good start for a simple database. You can store these dictionaries in a Python list, a file (like JSON), or a more robust database system like SQLite or PostgreSQL. 2. **Standardize Data:** * **Consistent Formatting:** Make sure all data types are consistent. For example, "employees" should be a number (12) instead of a string. * **Revenue:** Consider using a consistent format for revenue (e.g., "$10,000" or 10000). * **URLs:** Ensure URLs are complete and valid. 3. **Add More Information:** * **Company Type:** (e.g., Public, Private) * **Founded Date:** * **Contact Information:** (Phone, Email) * **Products/Services:** (More detailed description) * **Website Categories:** (e.g., Engineering, Oil & Gas) 4. **Querying and Analysis:** * **Python:** You can use Python dictionaries and lists to search and filter your data. * **SQL:** If you use a database, SQL (Structured Query Language) will give you powerful tools for querying and analyzing your company data. **Example Python Code (Basic Storage and Retrieval):** ```python companies = [ {"name": "Blackfin Offshore", "industry": "Fuel", "country": "United States", "state": "TX", "city": "Houston", "employees": 12, "revenue": 10000, # Use a number for revenue "url": "blackfinoffshore.com", "bio": "Blackfin Offshore offers a full range of Engineering, Design, and Project Management"}, # Add more companies here ] # Find companies in a specific industry fuel_companies = [company for company in companies if company["industry"] == "Fuel"] print(fuel_companies) ``` Let me know if you have any more questions or want to explore specific ways to use this data!
Blackfin Offshore Industry Tags
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