Excel Pivot Table & Combo Chart Guide for Temperature Data Analysis

Why Excel Visualization Matters

Raw temperature data from multiple cities can be overwhelming. Using Excel Pivot Tables and Combo Charts allows analysts to uncover hidden trends, compare cities, and identify spikes effectively.

Step-by-Step Guide

1. Create Pivot Table

Insert → Pivot Table → Add City (Rows) and Date (Sub-level for drill-down).

2. Add Metrics

Include Minimum, Maximum, and Average values.

3. Insert Combo Chart

Use columns for Min/Max and line chart for Average.

4. Enhance Visualization

Add data labels, adjust legend, and apply secondary axis.

5. Final Formatting

Set decimal precision and apply styling for clarity.

Key Benefits

• Instant trend visualization
• City comparison insights
• Better decision-making

This technique is part of Excel for Data Analysts: Everything You Need to Know (Handbook).

Source: Video transcript (YouTube Short)