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R Academy · Lesson

Identifying Patterns and Outliers

Discover ways to spot trends, anomalies, and potential biases in your data early on.

1

Identifying Patterns and Outliers in Data

Finding patterns and outliers is crucial for understanding data distribution, spotting trends, and detecting anomalies.

Identifying Patterns and Outliers — illustration 1

2

Visualizing Trends with Line Charts

Use plot() to create line charts and detect patterns over time.

x <- 1:10
y <- c(2, 4, 6, 8, 10, 12, 14, 18, 22, 28)
plot(x, y, type='l', col='blue', main='Line Chart of Trends')

All lessons in this course

  1. Data Summaries and Visualization
  2. Identifying Patterns and Outliers
  3. EDA Best Practices
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