LEAD, LAG, FIRST_VALUE, LAST_VALUE - Complete offset function family

Running Totals & Moving Averages - Time-based aggregations

Window Frame Specifications - Control calculation ranges precisely

Time Series Analysis Patterns - Advanced temporal analytics

Calculate daily stock price changes with LAG

Build monthly revenue growth dashboard

Create customer engagement trend analysis

Implement sales forecasting with LEAD

Design churn prediction system using future data

Build year-over-year comparison reports

Create inventory planning with demand forecasting

When would you use LAG vs LEAD in business analytics?

How do you handle NULL values in LAG/LEAD calculations?

Why are offset functions better than self-joins for time series?

How do you calculate safe percentage growth rates?

What's the importance of ORDER BY in LAG/LEAD functions?

You now understand LAG and LEAD functions for time-series analysis and row comparisons. LAG accesses previous rows for growth calculations and trend analysis, while LEAD accesses future rows for forecasting and predictive analytics.

Calculate month-over-month growth rates using LAG with proper NULL handling

Build stock price change detection using multiple LAG offsets

Create customer churn prediction using LEAD to look ahead at future behavior

Practice PARTITION BY with LAG/LEAD for group-wise time series analysis