“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…

Use on Desktop when profiling, cleaning, comparing, or analyzing local CSV, TSV, JSON, or spreadsheet-like data with reproducible evidence.

Analyze structured data or create visualizations from data.

对 CSV、Excel、ZIP 或其他附件数据执行可复现的数据清洗、统计、建模、图表和报告工作；用户要求 data science 报告、探索性分析、预测或从数据生成交付文件时使用。

Practical workflow for exploring tables, CSV, JSON, logs, or survey data — sanity checks, aggregation, descriptive statistics, and honest reporting of patterns.

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

Use for exploratory analysis, statistical analysis, trends, cohorts, segmentation, variance drivers, forecasting inputs, analytical visualisation or decision…

Answer a business question from a database, warehouse or spreadsheet: SQL, EDA, a decision memo.

Analyses a dataset correctly and reports what it shows.

Economic data-analysis discipline.

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

Execute complete, rigorous data analysis workflows from problem understanding through validated results delivery.

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

Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots…

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

Expert-level Data Analyst skill covering SQL analysis, Python/pandas data manipulation, statistical analysis, A/B test design and interpretation, business…

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF.

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

Analyze Excel spreadsheets, create pivot tables, generate charts, and perform 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 /…

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights.