Data & Analytics

Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists o...

Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.

Analyze market risk with VaR, volatility, and position sizing using forecast data. Use when assessing investment risk. Trigger with 'analyze market risk' or 'calculate VaR'.

Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.

"Production-grade data science specialist with TensorFlow 2.20.0, PyTorch\

Performs enrichment analysis (GSEA-based) for metabolic pathways across different cell groups to identify significantly enriched pathways. Uses fast gene set enrichment analysis (fgsea package) to rank pathways by their association with specific clusters, conditions, or cell states. Generates summary plots and enrichment visualizations for biological interpretation.

A股全栈数据工具包 — 覆盖行情(mootdx+腾讯)、信号(同花顺热点+北向)、研报(东财+iwencai)、新闻(akshare)、基础数据(mootdx财务/F10)、公告(巨潮)六层数据源。适用于个股估值、研报检索、题材归因、产业链调研、批量筛选等场景。

R static visualization with ggplot2 and lattice. Use for scatter plots, bar charts, line graphs, histograms, box plots, and publication-quality graphics.

R wordcloud2 package for word clouds. Use for creating interactive HTML word clouds.

R visNetwork package for network visualization. Use for interactive network graphs with vis.js.

R threejs package for 3D JavaScript visualizations. Use for interactive 3D scatter plots and globe visualizations.

R rbokeh package for Bokeh visualizations. Use for interactive web-based plots using Bokeh.js.

R plotly package for interactive visualizations. Use for creating interactive charts, 3D plots, and converting ggplot2 to interactive.

R networkD3 package for D3 network graphs. Use for force-directed, Sankey, and tree diagrams.

R leaflet package for interactive maps. Use for creating web maps with markers, polygons, tiles, and layers.

R highcharter package for Highcharts visualizations. Use for interactive JavaScript charts with rich features.

R heatmaply package for interactive heatmaps. Use for creating interactive clustered heatmaps with D3.js.

R ggvis package for interactive graphics. Use for creating interactive web graphics with a grammar of graphics.

R formattable package for formatted data structures. Use for creating colorful, formatted tables with conditional formatting.

R echarts4r package for Apache ECharts. Use for interactive charts with Chinese language support.

R dygraphs package for time series visualization. Use for creating interactive time series charts.

R interactive visualization with plotly, leaflet, DT, highcharter. Use for interactive charts, maps, data tables, and dashboards.

R DiagrammeR package for graph and diagram creation. Use for creating flowcharts, network diagrams, and Graphviz/Mermaid diagrams.