data-visualization

name	data-visualization
description	Create effective data visualizations using best practices for clarity, accuracy, and visual communication of insights

Data Visualization Skill

When creating data visualizations, follow these principles to ensure clear and effective communication:

Core Principles

1. Choose the Right Chart Type

• Line Charts: Trends over time, continuous data
• Bar Charts: Comparing categories, discrete data
• Scatter Plots: Relationships between variables, correlations
• Pie Charts: Parts of a whole (use sparingly, max 5-6 segments)
• Heatmaps: Patterns in large datasets, correlations
• Box Plots: Distribution statistics, outlier detection

2. Design Guidelines

Clarity

• Use clear, descriptive titles and labels
• Include units of measurement
• Add a legend when multiple series are present
• Ensure adequate contrast and readability

Accuracy

• Start y-axis at zero for bar charts (unless good reason)
• Use consistent scales across related charts
• Avoid distorting data through inappropriate scaling
• Label data points when precision matters

Simplicity

• Remove chart junk and unnecessary decorations
• Use color purposefully, not decoratively
• Limit the number of colors (5-7 max)
• Ensure accessibility (colorblind-friendly palettes)

3. Color Best Practices

• Sequential: Use for ordered data (light to dark)
• Diverging: Use for data with a meaningful midpoint