“data analysis”

High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data.

Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges.

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables…

Analyse tabular or structured data with short sandboxed Python scripts and report verified figures.

Use when analysing tabular data — CSV, Excel or JSON — computing aggregates, finding anomalies, cleaning messy data, or answering questions about a dataset…

CSV/JSON/Excel data analysis, statistics, visualization

Analyze data files (CSV, JSON) and generate insights, summaries, and statistical analysis

Análisis estadístico de datasets con Pandas y NumPy — explora, correlaciona, testea hipótesis y extrae conocimiento no obvio.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights.

This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data…

验证溢出是否成立，计算排队比、饱和度、绿灯利用率等核心指标。Use when phase is data_analysis_diagnosis.

Performs bounded, local exploratory analysis of explicitly supported scientific files.

Perform bounded, local exploratory analysis of explicitly supported scientific files.

Data analysis across SQL, visualization, statistics, and reporting.

Use this skill when you need to analyze test-data prerequisites, relationships, privacy, lifecycle, and environment blockers before test design or generation…

Full BI/BA data analysis — domain discovery, EDA and data quality, metric and KPI planning with analytical framework, data queries via MCP, Python analysis…

Load, convert, and manipulate Hi-C contact matrices using cooler format.

Systematic exploratory data analysis.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization.

Query the Artificial Analysis Data API (artificialanalysis.ai) to compare LLMs side by side, rank models by intelligence / coding / agentic index / speed /…

Use when analyzing code repositories, performing code reviews, or running table data analysis.

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted…

Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two…