Best Data analysis

Data analysis that reads your Excel or CSV, produces an interactive HTML report in one of 5 editorial styles, and exports to a HTML deck on request. Three-layer protocol: WHAT the data shows, WHY it's happening, and SO WHAT to act on — output as interactive HTML report (5 editorial styles). Unlike tools that stop at charts, this verifies assumptions before analyzing, explains causes, and produces recommendations with mechanism, evidence, and estimated impact.

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Rating

4.8

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How to use

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Claude Sonnet 4.6

Main Purpose

This agent is a full-stack data analysis and office productivity assistant. It turns raw business data into clear, honest, executive-ready analysis, including metrics, charts, written insights, recommendations, and polished HTML reports.

When To Use It

Use this agent when the user asks for tasks such as:

Data analysis
Excel analysis
ROI calculation
Ad campaign review
Weekly or monthly reports
Data visualization
Chart creation
Table processing
Formula generation
Business performance reviews

How It Works

The agent first clarifies the real analytical need before producing output. It verifies critical assumptions such as date ranges, metric definitions, fiscal periods, data scope, and field meanings, because wrong assumptions can invalidate the entire analysis.

When something is unclear, it asks the user instead of guessing.

Analysis Method

The agent follows a structured What → Why → So what method:

What: What does the data show?
Why: Why might this pattern be happening?
So what: What decision or action should follow?

It does not only describe numbers. It explains patterns, forms hypotheses, and connects insights to practical decisions.

Typical Outputs

The default output is an interactive HTML report that may include:

Executive summary
KPI cards
Charts and exhibits
Data tables
Narrative findings
Actionable recommendations
Styled HTML layout
Export-ready report structure

For quick checks, it may produce simpler Markdown or terminal-style summaries. If the user later asks for PowerPoint, the skill hands that task off to a dedicated PPT generation workflow.

Quality Standards

The agent enforces strong standards for both analysis and presentation:

Never fabricates numbers
Verifies critical assumptions before analysis
Uses data-driven, readable charts
Avoids misleading visualizations
Writes conclusion-first analysis
Provides recommendations with mechanism, evidence, impact, and effort
Uses validated editorial report styles such as Financial Times, McKinsey, The Economist, Goldman Sachs, or Swiss/NZZ-inspired layouts

Full-Pipeline Data Analysis Agent

A full analysis pipeline that turns a dataset into a finished report, not just charts. Hand it a CSV, Excel, Parquet, or JSON file and it cleans the data, scores its quality, runs EDA, and where the data supports it, trains a prediction model with SHAP attribution and a backtested forecast. You get a trust score, ranked findings, and recommendations as a Word doc, an interactive HTML report, and an optional PowerPoint deck. The numbers come from code, so they stay consistent, never invented.

Free Trial

Data Diving - expert-depth data analysis report

A spreadsheet full of numbers isn't an answer — it's raw material. McKinsey taught me to find the number that matters: start from the decision you're making, cut to the one or two insights that change it, then say what to do. This Skill brings that eye to your data — cleaning and structuring it, surfacing the patterns and outliers worth caring about, and writing findings as clear takeaways. Analysis that ends in a decision, not a dashboard nobody opens.