Agent skill · data analytics · datadrivenconstruction
data-visualization
Create visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.
Why this skill is useful
Provides specific data visualization techniques and scripts tailored for construction analytics that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 6k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Data Visualization for Construction Overview Based on DDC methodology (Chapter 4.1), this skill provides comprehensive data visualization techniques for construction analytics. Visual insights drive better decisions - from cost breakdowns to schedule analysis. Book Reference: "Аналитика данных и принятие решений" / "Data Analytics and Decision Making" "Визуализация данных превращает сложные наборы данных в понятные графики, которые могут использоваться для принятия решений на всех уровнях проекта." — DDC Book, Chapter 4.1 Quick Start Matplotlib Fundamentals Basic Charts for Construction Time Series Visualization Seaborn for Statistical Visualization Distribution Analysis Category Analysis Plotly for Interactive Dashboards Interactive Charts Dashboard Layout Construction-Specific Visualizations Heatmaps for Level Analysis Cost Analysis Charts Export and Reporting Save Visualizations Quick Reference Chart Type Best For Library ------------ ---------- --------- Bar Chart Category comparisons Matplotlib/Seaborn Pie Chart Cost breakdown Matplotlib Heatmap Level × Category matrix Seaborn Box Plot Distribution by group Seaborn Scatter Relationship analysis Matplotlib/Plotly Treemap Hierarchical data Plotly Sunburst Multi-level breakdown Plotly Gantt Schedule visualization Matplotlib S-Curve Progress tracking Matplotlib Color Palettes for Construction Resources Book: "Data-Driven Construction" by Artem Boiko, Chapter 4.1 Website: https://datadrivenconstruction.io Matplotlib: https://matplotlib.org Seaborn: https://seaborn.pydata.org Plotly: https://plotly.com/python Next Steps See pandas-construction-analysis for data preparation See cost-prediction for predictive analytics See qto-report for quantity extraction
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/data-visualization