This project explores and analyzes data from the "country_club" database, which contains information about a country club's facilities, members, and bookings. The project leverages SQL queries to uncover insights and patterns within the data, addressing various aspects of the club's operations.
Bookings: Records of facility bookings, including booking ID, facility ID, member ID, start time, and number of slots booked. Facilities: Details about club facilities, including facility ID, monthly maintenance cost, name, member cost, guest cost, and initial outlay. Members: Information about club members, including member ID, surname, first name, address, zip code, join date, telephone number, and recommended by (optional).
Identifying facilities with member fees: Q1 Finding facilities with fees less than 20% of maintenance: Q3 Retrieving details for specific facilities: Q4 Finding latest members: Q5 Listing members who've used tennis courts: Q6 Listing bookings costing over $30 on a specific date: Q8 and Q9 Counting facilities without member fees: Q10 Categorizing facilities by maintenance cost: Q11
Prerequisites:
A database management system (e.g., MySQL, PostgreSQL, SQLite) Access to the "country_club" database A tool to execute SQL queries (e.g., command-line interface, SQL client) Accessing the Data:
Connect to the database using appropriate credentials. Select the "country_club" database. Executing Queries:
Run the provided SQL queries to retrieve and analyze data. Adjust query parameters as needed to explore different aspects of the data.
Customize queries: Modify existing queries or create new ones to answer specific questions you have about the club's operations. Visualize results: Use data visualization tools to create charts and graphs that highlight key trends and patterns. Explore relationships: Analyze relationships between different data elements (e.g., facility usage patterns, member preferences). Identify trends: Uncover trends in bookings, membership, and facility usage over time. Generate reports: Create comprehensive reports summarizing key findings and insights from the data analysis.
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