Welcome to Interview Master! 👋

I'm here to help you practice Pharmacy Consultation Privacy for Patient Comfort - a Data interview question from Walmart.

Problem Overview

You are a Data Analyst on the Walmart Pharmacy team tasked with evaluating patient consultation privacy concerns. Your team is focused on understanding how different consultation room types and their associated privacy levels affect patient comfort and confidentiality. By analyzing consultation frequencies, room types, and privacy scores, you will recommend improvements to enhance patient privacy in pharmacy consultation spaces.

This problem will test your SQL or Python skills in:

• Writing and optimizing code
• Data analysis and manipulation
• Real-world database scenarios used in Walmart interviews

What You'll Learn

By solving this Walmart interview question, you'll gain experience with:

• Writing efficient SQL queries or Python code for production databases
• Understanding complex data relationships and schema design
• Applying SQL or Python (your choice!) in a Walmart-style technical interview setting
• Problem-solving techniques used by data scientists and analysts at top tech companies

Getting Started

Use the code editor on the right to:

1. Explore the database schema and table structures
2. Write and test your SQL or Python (your choice!) queries in a real coding environment
3. Get instant feedback on your query results
4. Learn from hints and detailed explanations

Ready to practice this Walmart Data challenge? Let's dive in! 🚀

Excellent! Let's break down "Pharmacy Consultation Privacy for Patient Comfort" step by step.

Problem Analysis

Company: Walmart
Problem Type: Data Science Interview Question
Skill Level: Professional interview preparation

Key Requirements

You are a Data Analyst on the Walmart Pharmacy team tasked with evaluating patient consultation privacy concerns. Your team is focused on understanding how different consultation room types and their associated privacy levels affect patient comfort and confidentiality. By analyzing consultation frequencies, room types, and privacy scores, you will recommend improvements to enhance patient privacy in pharmacy consultation spaces.

Approach Strategy

For this Walmart interview question, consider:

1. Data Exploration: Start by examining the table schemas to understand the data relationships
2. Query Planning: Think about which tables you'll need to JOIN and what conditions to apply
3. Code Optimization: Consider performance implications for large datasets (important for Walmart scale)
4. Edge Cases: Think about NULL values, duplicate data, and boundary conditions

Next Steps

1. Click on the "Schema" tab in the code editor to examine the table structures
2. Review the sample data to understand the data patterns
3. Start with a basic SELECT statement and build complexity gradually
4. Test your query and iterate based on the results

This type of problem is commonly asked in Walmart technical interviews for data analyst, data scientist, and software engineer positions. Take your time to understand the problem thoroughly before writing your solution.

Ready to start coding? 💻