2. Trend Break Detection – Elldy Academy

What is data analytics?

Data cleaning? Missing Values Duplicate Data Case Sensitivity Data Types Outliers

Quick Stats Basic Stats What Is an Outlier? How to Practice Basic Stats & Outliers

1. Variance 2. Standard Deviation (SD) 3. Coefficient of Variation (CV) 4 Practice Variance, Standard Deviation (SD), Coefficient of Variation (CV)

1. Skewness 2. Kurtosis

Correlation Why We Use Correlation? Pearson Correlation (r) Spearman Correlation (ρ or rₛ)

Trend Analysis 1. Time forecasting 2. Trend Break Detection 3 Moving Average

Grouping 1. Group By Sum 2. Group By Mean (Average) 3. Group By Count 4. Group By Minimum 5. Group By Maximum 6. Group By Median

AI Insights 1. Anomaly Detection 2 .Forecast Suggestion (Predictive Forecasting) 3 Correlation Warning 4 Trend Direction Prediction 5 Seasonality Detection 6 Top Driver / Influencer Analysis 7 Productivity Improvement Prediction 8 Business Risk Warnings

CERTIFICATION

chapter 7 : Trend Analysis

2. Trend Break Detection

Lesson Image

Trend break detection is the process of identifying the point where a trend changes direction or behavior.

This could be:

Upward trend → downward trend
Stable trend → sudden growth
Slow growth → rapid decline

It helps detect:

Structural changes
Market shifts
Sudden events or anomalies

Example:
Sales increasing for months, then suddenly dropping after a new competitor enters the market.
What this shows:

The data follows a certain trend direction.
At a specific point, the pattern changes suddenly.
This change point is called a trend break.

Example:

Sales increasing steadily.
After a market crash, sales suddenly drop.
That drop point = trend break

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