Skills DirectoryData & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
Browse data & analytics skills
Showing 10,801–10,824 of 13,063 skills
R REST APIs with plumber and httr. Use for creating and consuming web APIs.
R RSelenium package for browser automation. Use for web scraping JavaScript-rendered pages and browser automation.
R web technologies and reproducible research. Use for Shiny apps, web scraping, REST APIs, dynamic reports (rmarkdown, knitr), and document generation.
R scales package for axis scales and transformations. Use for formatting labels, color palettes, and scale transformations in ggplot2.
R rgl package for 3D visualization. Use for interactive 3D graphics using OpenGL.
R rayshader package for 2D and 3D data visualization. Use for creating 3D maps, elevation plots, and ray-traced visualizations.
R patchwork package for combining ggplot2 plots. Use for arranging multiple plots into composite figures.
R lattice package for trellis graphics. Use for multi-panel conditioning plots and high-level statistical graphics.
R gt package for publication-quality tables. Use for creating beautiful, customizable tables for reports and presentations.
R ggthemes package for extra ggplot2 themes. Use for publication-ready themes like Economist, WSJ, FiveThirtyEight.
R ggtext package for rich text in ggplot2. Use for adding formatted text, markdown, and HTML to plots.
R ggstatsplot package for statistical plots. Use for publication-ready plots with statistical details.
R ggridges package for ridgeline plots. Use for creating ridgeline/joy plots showing distributions.
R ggrepel package for non-overlapping text labels. Use for automatically positioning labels to avoid overlap in ggplot2.
R ggplot2 package for data visualization. Use for creating plots with grammar of graphics - geoms, aesthetics, facets, scales, themes.
R ggforce package for ggplot2 extensions. Use for advanced geometries, annotations, and transformations.
R ggdist package for distribution visualizations. Use for visualizing distributions and uncertainty.
R ggalt package for extra ggplot2 geoms. Use for lollipop charts, dumbbell plots, and encircling.
R cowplot package for combining ggplot2 plots. Use for publication-ready multi-panel figures with shared legends.
R corrplot package for correlation matrix visualization. Use for creating beautiful correlation heatmaps and plots.
Creates a professional forensic trading audit dashboard from any broker's trading history export. Use this skill whenever a user uploads a trading statement, CSV export, PDF report, or any file containing trade history from brokers like Trading 212, Interactive Brokers, eToro, Binance, MetaTrader, Robinhood, or any other platform. Triggers on phrases like "analyze my trades", "audit my trading", "create a trading dashboard", "review my performance", "analyze my CFD trades", "trading report", ...
Use this skill any time a spreadsheet file is the primary input or output (.xlsx, .xlsm, .csv, .tsv). This includes: creating, reading, editing, analyzing, or formatting spreadsheets; cleaning messy tabular data; converting between formats; and data visualization with charts. Also use for pandas-based data analysis when the deliverable is a spreadsheet. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets AP...
"Use this skill when the user wants to build a financial model,
Use this skill when the user wants to create a data dashboard, analytics dashboard, KPI dashboard, or executive summary from CSV/tabular data in Excel format. Trigger on: 'dashboard', 'KPI report', 'analytics summary', 'data visualization', 'CSV to Excel dashboard', 'executive dashboard', 'metrics dashboard'. Output is always a single .xlsx file.