Analysis

Analyze CSV and Excel files with statistical summaries and charts

Analyze Walmart sales against unemployment rates with charts and an HTML report

Update and analyze 68 US economic and social indicators from government APIs

Write R scripts for Windmill data analysis and reporting jobs

Analyze datasets with statistics, pandas and visualizations

Forecast events with calibrated confidence, signal taxonomies and accuracy tracking

Analyze ML experiment results, compute statistics and build comparison tables

Answer data questions end to end with the Wren CLI and semantic SQL

Create and manage Lark Base tables, fields, records, views and dashboards

Create and edit Lark spreadsheets with formulas, charts, pivots and imports

Write and debug Excel and Google Sheets formulas, pivots and array formulas

Choose statistical tests, check assumptions and report results in APA format

Build and format Google Sheets with values, charts and validation rules

Clean, join, pivot and resample pandas DataFrames for analysis and time series

Find the insights in a dataset or table and recommend how to chart them

Create, edit and clean Excel xlsx and CSV files with formulas and charts

Fetch dataset rows, splits, filters and parquet links from the Hugging Face viewer API

Analyze raw data with formulas and charts and get plain-language conclusions

Deduplicate and standardize messy tables with a line-by-line cleaning log

Clean survey responses and run cross-tabs and charts for a findings report

Analyze CSV files in your workspace and summarize the key insights

Read, write, style and transform Excel sheets, ranges and formulas via MCP

Pull keywords with YAKE or RAKE and detect document language

Build traceable fact, explanation, risk and action cards from research or legal docs

Turn parsed documents into fact, explanation, risk and action cards with sources

Analyze Chrome or Perfetto trace files for MoE operator timing, overlap and bubbles

Pull Bank of Korea rates, exchange rates and inflation time series

Look up Korean farm and livestock wholesale and retail prices with trends

Search and fetch Korean official statistics tables from the KOSIS portal

Analyze LCK esports results, standings, draft matchups and team ratings

Find long-running Korean shops still open by matching past store records

Pull stock, macro and government datasets from Wind, FRED, World Bank and IMF

Clean, explore and analyze datasets with statistics and visualizations

Parse Excel sheets with irregular headers, merged cells and unknown header rows

Check whether a dataset or dashboard is trustworthy enough to cite or decide on

Write answer-first analytical reports with evidence, charts and caveats

Analyze live and post-call conversations for sentiment, agent assist and trends

Create and repair a semantic layer that future analytics work can cite

Analyze and edit Google Sheets with formulas, charts and cell-range updates

Route data, metric, dashboard and notebook requests to the right analytics workflow

Create and validate reproducible SQL and Python notebooks for analysis

Find the likely drivers behind a metric change, anomaly or unexpected gap

Check an analysis's methods, numbers and caveats before sharing or deciding

Clean, analyze and plot data with Pandas, NumPy and Matplotlib

Run Python code in a sandbox with data and image libraries preinstalled

Run statistical modeling, A/B tests and causal inference across Python, R and SQL

Retrieve official statistics from international organizations and economic data providers

Write formula table calculations for ratios, comparisons, windows and rankings

Analyze datasets, compute statistics and summarize numbers into clear findings