Data Visualization

Overview

Data visualization transforms complex data into clear, compelling visual representations that reveal patterns, trends, and insights for storytelling and decision-making.

When to Use

• Exploratory data analysis and pattern discovery
• Communicating insights to stakeholders
• Comparing distributions and relationships
• Presenting findings in reports and dashboards
• Identifying outliers and anomalies visually
• Creating publication-ready charts and graphs

Visualization Types

• Distributions: Histograms, KDE, violin plots
• Relationships: Scatter plots, line plots, heatmaps