✅ Top Data Analytics Interview Questions with Answers – Part 3 📊🧠

1️⃣6️⃣ What is data cleaning?
The process of fixing or removing incorrect, corrupted, or incomplete data to ensure quality and reliability in analysis.

1️⃣7️⃣ What is EDA (Exploratory Data Analysis)?
It’s the initial step in data analysis where we explore, summarize, and visualize data to understand patterns, outliers, or relationships.

1️⃣8️⃣ What is the difference between structured and unstructured data?
• Structured: Organized in tables (e.g., SQL databases).
• Unstructured: No fixed format (e.g., text, images, videos).

1️⃣9️⃣ What is a data pipeline?
A series of steps to collect, process, and move data from one system to another — often automated.

2️⃣0️⃣ Explain the difference between OLAP and OLTP.
• OLAP (Online Analytical Processing): For complex queries reporting.
• OLTP (Online Transaction Processing): For real-time transactions.

2️⃣1️⃣ What is a dimension vs. a measure in data analysis?
• Dimension: Descriptive attribute (e.g., Country, Product)
• Measure: Numeric value you analyze (e.g., Sales, Profit)

2️⃣2️⃣ What is data validation?
The process of ensuring data is accurate and clean before analysis or input into systems.

2️⃣3️⃣ What is cross-tabulation?
A table that shows the relationship between two categorical variables (often used in Excel or Power BI).

2️⃣4️⃣ What is the Pareto principle in data analysis?
Also called 80/20 rule — 80% of effects come from 20% of causes (e.g., 20% of products generate 80% of sales).

2️⃣5️⃣ What is drill-down in dashboards?
An interactive feature allowing users to go from summary-level data to detailed-level data by clicking.

💬 Tap ❤️ for Part 4