Визуализация данных на Python: графики и диаграммы

★ 7.3 · content

data-visualization is a Claude Code skill that helps build charts in Python using matplotlib, seaborn, and plotly — covering chart selection, ready-to-use code templates, and design principles including accessibility. The skill includes a chart-selection guide mapping data relationships to chart types (trends, comparisons, distributions, correlations, geographic patterns, and more), code patterns for line charts, bar charts, histograms, heatmaps, and small multiples, plus colorblind-friendly palettes and professional style configuration via rcParams. It also explains when to avoid pie charts, 3D charts, and dual-axis charts. Ideal for data analysts and researchers who need publication-quality figures or want guidance on choosing the right visualization for a given dataset.