Trending graphs (also called run charts or trend analysis charts) are powerful tools in Lean Six Sigma and data-driven decision-making. They help you visualize changes over time, spot long-term patterns, and understand how processes behave in real-world conditions.
Unlike single-point measurements, which can be misleading, trending graphs show continuous performance. They allow businesses, healthcare systems, and organizations across industries to track improvement against goals and targets.
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What Are Trending Graphs, and How to Interpret Them?
Trend analysis charts are designed to display data over time. By plotting points sequentially, you can uncover:
- Hidden patterns and relationships
- The difference between short-term fluctuations and long-term changes
- Whether a process is moving toward or away from its desired target
On county, state, or national dashboards, trend graphs highlight how performance evolves. In Lean Six Sigma, they are used to measure improvement, reduce waste, and sustain efficiency.
What are Trend Charts and How Do They Work?
The most common trend charts include:
- Run charts: Plot data points over time on the x-axis to detect shifts and variations.
- Control charts: Add statistical upper and lower control limits, showing if variation is due to common or special causes.
- Time series charts: Used for forecasting by finding historical patterns and projecting them into the future.
Together, these charts form the foundation of data-driven continuous improvement.
Types of Trends You Can Analyze in Charts
Graphs simplify data and reveal trends that are otherwise hard to detect. Below are common trend types and how to interpret them.
Linear Trend
A straight line showing a constant rate of change. If the slope is upward, performance is improving. A downward slope signals decline.
Exponential Trend
A curve that starts slow but accelerates sharply. This often represents rapid growth (like compound interest or population growth) or fast decay (such as resource depletion).
Logarithmic Trend
Rises quickly at first, then slows down. Often seen in market saturation or diminishing returns.
Quadratic Trend
Forms a U-shape or inverted U-shape. It signals that the rate of change depends on the variable’s level, often used in optimization problems.
Sinusoidal Trend
Wave-like and recurring, often seasonal. Seen in climate patterns, energy usage, or consumer demand cycles.
Step Trend
Shows sudden jumps caused by interventions such as new policies, technology upgrades, or economic shocks.
Seasonal Trend
Regular, repeating changes tied to specific periods. Seen in retail sales peaks during holidays or agricultural output cycles.
Cyclical Trend
Represents long-term economic or business cycles. Useful for forecasting recessions, expansions, or industry-wide shifts.
👉 Pro tip: Always interpret trends within their context. External factors like policy changes, global events, or industry disruptions can alter trend lines.
3 Best Charts to Show Trends Over Time
1. Line Chart
The simplest and most popular trend chart, perfect for showing changes over time.
- X-axis: time
- Y-axis: measured variable
- Slope indicates the direction and pace of change
📌 Example: Tracking monthly sales or defect counts in a Six Sigma project.
2. Combo Charts
These combine two chart types (e.g., line + column) to reveal multiple insights at once.
- Compare categories and time-based variables
- Spot overlapping patterns or hidden correlations
- Great for executive dashboards and decision-making presentations
📌 Example: Compare revenue growth with marketing spend over time.
3. Comparison Charts
Designed to highlight relationships and differences.
- Useful in business analysis, product benchmarking, or digital marketing attribution
- Compare two or more metrics side by side
- Helps identify which factors drive performance
📌 Example: Comparing sales vs. profits or website traffic sources.
Which is your favorite trend chart to use and why?
Every chart type offers unique strengths. Line charts are easy and clear, combo charts provide depth, and comparison charts reveal context.
Share your thoughts and experience in the comments below!
