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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 601–624 of 12,629 skills
- 572 Usage Guide 0f974469Visualize and statistically analyze metagenomic profiles using Python (matplotlib, seaborn, scikit-learn) or R (phyloseq, vegan, ggplot2).Votes: 0GitHub stars: 9
- 572 Usage Guide 099e20a4Work with sparse matrices (CSR, CSC, COO) for memory-efficient storage and operations on count data with many zero values, especially single-cell RNA-seq data.Votes: 0GitHub stars: 9
- 572 Usage Guide 075e5f98Create sashimi plots to visualize splicing events with read coverage and splice junction counts. These plots show coverage across exons and arcs representing junction-spanning reads, essential for validating differential splicing results.Votes: 0GitHub stars: 9
- 572 Usage Guide 00afb9fbInfer transcription factor regulons from single-cell RNA-seq data using the pySCENIC three-step pipeline. Discovers co-expression modules between TFs and candidate targets with GRNBoost2, prunes these to retain only links supported by cis-regulatory motif enrichment (cisTarget), and scores regulon activity per cell with AUCell. Identifies master regulators of cell identity and enables TF-activity-based cell clustering.Votes: 0GitHub stars: 9
- 362 Searchable Skill F3d75da5Searchable index of 89 skills learned from Terminal Bench 2.0. Skills are available in both `trajectory-only/` and `trajectory-feedback/` variants.Votes: 0GitHub stars: 9
- 2729 Plotly Server 3921f69aThe Plotly MCP Server provides advanced data visualization capabilities using Plotly for creating interactive charts and graphs. It supports multiple chart types, interactive HTML output, static export options, and flexible data input formats. The server is powered by FastMCP for enhanced type safety and automatic validation.Votes: 0GitHub stars: 9
- 2726 Data Analysis Server Cef0d00aA comprehensive MCP server providing advanced data analysis, statistical testing, visualization, and transformation capabilities. This server enables AI applications to perform sophisticated data science workflows through a standardized interface.Votes: 0GitHub stars: 9
- 2725 Csv Pandas Chat Server 454d219fThe CSV Pandas Chat MCP Server provides a secure environment for analyzing CSV data using natural language queries. It integrates with OpenAI models to generate and execute safe pandas code for data analysis, offering multiple security layers including input validation, code sanitization, and execution sandboxing. The server is powered by FastMCP for enhanced type safety and automatic validation.Votes: 0GitHub stars: 9
- 2682 Arviz 9490fd82This guide covers ArviZ like an expert Bayesian modeler uses it: not just what each function does, but *when* to use it, *what* to look for, and *how* to interpret results.Votes: 0GitHub stars: 9
- 2681 Caption Guide D14c32bf当用户要求为图表生成英文标题或中英双语标题时，请遵循以下规范。由于中文学位论文（如各大高校基于国标的模板：thuthesis, pkuthss等）通常要求图表采用**中英双语**形式，因此生成的英文必须精确且符合特定格式。Votes: 0GitHub stars: 9
- 264 Quickstart 25901d75Get Skill Compose running and build your first agent.Votes: 0GitHub stars: 9
- 2636 Pyodide Packages Bbb0f687These packages are pre-built for Pyodide and available in WASM environments. Any package **not** on this list must have a pure Python wheel on PyPI to work. > **Note:** This list was snapshotted on 2026-02-26 from Pyodide's docs. > For the latest list, check https://pyodide.org/en/stable/usage/packages-in-pyodide.html affine, aiohappyeyeballs, aiohttp, aiosignal, altair, annotated-types, anyio, apsw, argon2-cffi, argon2-cffi-bindings, asciitree, astropy, astropy_iers_data, asttokens, async-ti...Votes: 0GitHub stars: 9
- 2626 Data Presentation 84af36d4**General guidelines:** - Clear, concise title describing table contents - Column headers with units - Row labels aligned left, data aligned appropriately (numbers right, text left) - Footnotes for abbreviations, statistical notation, special cases - Consistent decimal places (typically 1-2 for percentages, 1-3 for continuous variables) - Consistent formatting throughout documentVotes: 0GitHub stars: 9
- 2624 Patient Cohort Analysis 1b4962c1Patient cohort analysis involves systematically studying groups of patients to identify patterns, compare outcomes, and derive clinical insights. In pharmaceutical and clinical research settings, cohort analysis is essential for understanding treatment effectiveness, biomarker correlations, and patient stratification.Votes: 0GitHub stars: 9
- 2623 Outcome Analysis 9d9c20e4Rigorous outcome analysis is essential for clinical decision support documents. This guide covers survival analysis, response assessment, statistical testing, and data visualization for patient cohort analyses and treatment evaluation.Votes: 0GitHub stars: 9
- 2613 Trpc E55724ce**CRITICAL**: Do NOT use tRPC for SQL queries or data retrieval. Use `config/queries/` + `useAnalyticsQuery` instead. Use tRPC ONLY for: - **Mutations**: Creating, updating, or deleting data (INSERT, UPDATE, DELETE) - **External APIs**: Calling Databricks APIs (serving endpoints, jobs, MLflow, etc.) - **Complex business logic**: Multi-step operations that cannot be expressed in SQL - **File operations**: File uploads, processing, transformations - **Custom computations**: Operations requiring...Votes: 0GitHub stars: 9
- 2573 Aggregation Methods 65094458Techniques for combining and analyzing results from simulation campaigns.Votes: 0GitHub stars: 9
- 2572 Sensitivity Guidelines 16bb86e1Sensitivity analysis quantifies how input parameter variations affect simulation outputs. It helps identify the most influential parameters for calibration and uncertainty reduction.Votes: 0GitHub stars: 9
- 2571 Xy Chart 4df50afc> **Back to [Style Guide](../mermaid_style_guide.md)** — Read the style guide first for emoji, color, and accessibility rules. **Syntax keyword:** `xychart-beta` **Best for:** Numeric data visualization, trends over time, bar/line comparisons, metric dashboards **When NOT to use:** Proportional breakdowns (use [Pie](pie.md)), qualitative comparisons (use [Quadrant](quadrant.md)) > ⚠️ **Accessibility:** XY charts do **not** support `accTitle`/`accDescr`. Always place a descriptive _italic_ Mar...Votes: 0GitHub stars: 9
- 2571 Quality Metrics 929e98c0Comprehensive guide for evaluating and ensuring mesh quality.Votes: 0GitHub stars: 9
- 2570 Microsimulation Reform Guide 4eea584b> **Note**: Always use MicroSeries arithmetic (`.sum()`, `.mean()`, `*`, `>`) instead of extracting `.values` and using numpy. MicroSeries handles weighting automatically. Only use `household_weight` — it's the only calibrated weight. Guide for implementing policy reforms and microsimulation analysis in PolicyEngine UK ONLY projects.Votes: 0GitHub stars: 9
- 2564 Value Boxes 3b530b15Value boxes are specialized card-like components designed for displaying key metrics, KPIs, and statistics in dashboards. They provide a focused, scannable way to communicate important numbers.Votes: 0GitHub stars: 9
- 2564 Git Graph B93d7f71> **Back to [Style Guide](../mermaid_style_guide.md)** — Read the style guide first for emoji, color, and accessibility rules. **Syntax keyword:** `gitGraph` **Best for:** Branching strategies, merge workflows, release processes, git-flow visualization **When NOT to use:** General processes (use [Flowchart](flowchart.md)), project timelines (use [Gantt](gantt.md)) ---Votes: 0GitHub stars: 9
- 2562 Page Layouts 7aa85757This reference covers the page-level layout functions in bslib that structure entire Shiny applications. These are the top-level containers that determine the overall architecture of your app.Votes: 0GitHub stars: 9