Chart types and data display patterns—bar charts, line graphs, heatmaps, dashboards. 6 patterns for making data understandable and actionable.
Data visualization patterns transform raw numbers into insights. These patterns cover bar charts (comparisons), line graphs (trends), pie charts (proportions), scatter plots (correlations), heatmaps (patterns), and dashboard layouts. Choose chart types based on data relationships and user questions. Good visualizations are honest (no misleading scales), focused (remove chart junk), and accessible (color-blind friendly palettes).
Time-series data visualization showing trends over time with data points connected by lines. Essential for analytics dashboards.
Vertical or horizontal bars comparing values across discrete categories. Perfect for sales comparisons and rankings.
Dashboard card displaying a key performance indicator with trend, comparison, and sparkline visualization.
Circular progress indicator showing percentage completion with visual appeal. Popular in fitness apps and profile completion.
Structured grid displaying rows and columns of data with sorting, filtering, and pagination. Essential for admin dashboards.
Circular chart showing proportional data with hollow center. Perfect for budget breakdowns and traffic source analysis.