Loading...
Loading...
Found 351 Skills
Implements Syncfusion .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Convert CSV/Excel/JSON data into beautiful visualization report pages
Use when analyzing research datasets, cleaning tabular data, selecting statistical tests, producing result tables, creating publication figures, or moving notebook logic into reproducible code.
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL and Streamlit
Implements Syncfusion .NET MAUI Polar Charts (SfPolarChart) for visualizing data in polar coordinates. Use when working with polar charts, radar charts, spider charts, web charts, or circular data visualization. Ideal for displaying data in terms of values and angles, creating line or area series in polar layouts, or comparing multiple data series radially.
Implements Syncfusion .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Provides comprehensive guidance for Lime ECharts including chart creation, configuration, data visualization, and interactive charts. Use when the user asks about Lime ECharts, needs to create charts, visualize data, or work with ECharts features.
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more.
R statistical programming for data analysis, visualization, and modeling. Use for .r files.
Plotly interactive visualization library. Use for interactive charts.