“data visualization”

Basecoat Charts skill for ApexCharts and SVG data visualization.

Interactive scientific and statistical data visualization library for Python.

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Build data-driven technical visualizations for arrays, lists, trees, graphs, hash tables, caches, memory, CPU, networking, databases, distributed systems…

Use this skill when creating data visualizations, selecting the right chart type, or generating chart code.

Create professional SVG graphics including data visualizations (pie charts, bar charts, line graphs, donut charts), flat illustrations (people, icons…

Generate self-contained HTML visual explanations for systems, code changes, plans, data, and technical concepts.

Engineers the frontend representations and data visualization layers for digital twin systems, making complex real-time telemetry, sensor data, and simulation…

Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds.

Apply Edward Tufte's principles to any data visualization, chart, dashboard, or infographic.

Data analysis and visualization.

Visualize enrichment results using enrichplot package functions.

Handle statistical data analysis tasks: t-tests, regression, correlation analysis, data visualization, CSV processing, hypothesis testing, effect size…

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.

Data visualization tool producing SVG charts.

Text mining, corpus linguistics, digital archives, GIS for history, network analysis, stylometry, OCR, and data visualization for humanities research.

High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data.

Create, inspect, manage, and render charts and data visualizations as SVG/PNG or interactive embeds.

Synchronize source code with visualization via Code → Execution → Execution Events → Visualization State → Animation Timeline.

Guide for using Observable Plot, a JavaScript library for exploratory data visualization built on D3.

Trigger: analytics-metrics, Build data visualization and analytics dashboards.

Apple Human Interface Guidelines for content display components.

Build polished visual web artifacts with HTML/CSS/JavaScript/React: pages, dashboards, prototypes, slide decks, animations, UI mockups, and data visualizations.

Produce a structured specification for research workflow diagrams, framework figures, and data visualization assets.