Welcome to Interview Master! 👋

I'm here to help you practice WhatsApp Call and Group Chat Interface Usage - a Data interview question from Meta.

Problem Overview

You are a Data Scientist on the WhatsApp consumer experience team focusing on enhancing user interaction with call and group chat features. Your team aims to understand user engagement patterns with family-focused group chats, average call durations, and group chat participation levels. The end goal is to simplify the user interface and interaction flows based on these insights.

This problem will test your SQL or Python skills in:

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

What You'll Learn

By solving this Meta 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 Meta-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 Meta Data challenge? Let's dive in! 🚀

Excellent! Let's break down "WhatsApp Call and Group Chat Interface Usage" step by step.

Problem Analysis

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

Key Requirements

You are a Data Scientist on the WhatsApp consumer experience team focusing on enhancing user interaction with call and group chat features. Your team aims to understand user engagement patterns with family-focused group chats, average call durations, and group chat participation levels. The end goal is to simplify the user interface and interaction flows based on these insights.

Approach Strategy

For this Meta 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 Meta 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 Meta 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? 💻