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Found 351 Skills
Build interactive data applications and dashboards with pure Python - no frontend experience required
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.
Help create paper-quality plots and figures with matplotlib or seaborn. Use when the user asks for plots, figures, or visualizations.
A user-empowering data visualization Vue 3 components library for eloquent data storytelling. ALWAYS use when writing code importing "vue-data-ui". Consult for debugging, best practices, or modifying vue-data-ui, vue data ui.
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
Create Mermaid diagrams and convert them to images. Use when needing to visualize flows, architecture, or data structures.
Assemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures.
Visualize competitive positioning using sector charts. Use for market analysis and competitive strategy.
Implement Syncfusion React Maps component for geographical data visualization. Use this when displaying interactive maps, location-based information, or regional data analysis. This skill covers map providers (Bing, OpenStreetMap), GeoJSON rendering, markers and bubbles, zooming/panning, data labels, legends, and choropleth visualizations in React applications.
Implement Syncfusion React Charts component for data visualization. Use this when creating charts, configuring axes and series, or customizing visualization styles. This skill covers chart types, data binding, user interactions, financial indicators, accessibility features, and professional data visualization in React applications.
Implement Syncfusion WPF TreeMap (SfTreeMap) control for hierarchical data visualization using nested rectangles. Use this when visualizing large datasets with hierarchical structure, creating heat maps, or displaying proportional data. This skill covers TreeMap configuration, layout algorithms, color mapping, data binding, and interactive features for stock analysis, data categorization, and hierarchical visualization scenarios.
Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript. ALWAYS use when writing code importing "@unovis/vue". Consult for debugging, best practices, or modifying @unovis/vue, unovis/vue, unovis vue, unovis.