Universal Data Cleaning Planner
Profile a dataset, detect problems, get prioritized fixes, preview changes, and export cleaned data with a data dictionary.
A complete data workflow toolkit that runs entirely in your browser. Profile and clean datasets, check data quality, translate logic between Excel, SQL, Power Query, pandas, and DAX, and handle every date and time problem — without uploading your data anywhere.
19 tools · Local processing · No account required · No uploads
Profile a dataset, detect problems, get prioritized fixes, preview changes, and export cleaned data with a data dictionary.
Describe one transformation and get the equivalent for Excel, SQL, Power Query, pandas, and DAX — with caveats.
Readiness scores for SQL, Power BI, and machine learning — with prioritized blockers and suggested fixes.
Auto-generate a shareable data dictionary from any CSV — inferred types, fill rates, ranges, and samples.
Label every column — email, phone, SSN, card, date, ID — and flag personal data before you share a dataset.
Translate SQL SELECT queries into pandas code and back — selection, filters, GROUP BY, ORDER BY, LIMIT.
Convert SUMIF, COUNTIF, IF, and VLOOKUP formulas to SQL and back, plus a data-type mapping reference.
Reshape wide ↔ long CSV locally with aggregation — like pandas melt / pivot_table or Power Query unpivot.
Convert CSV rows into SQL INSERT statements with dialect quoting, batching, and NULL handling.
Paste two sample tables, pick the keys, and see the relationship type, expected row counts, and explosion warnings.
Run ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, and running aggregates on live sample data.
Compare two JSON documents semantically — order-insensitive arrays, type-aware changes, schema drift.
Unix epoch, Excel serial dates, ISO formats, date arithmetic, and relative time — all DST-aware and local.
Map column data types across Excel, SQL Server, MySQL, PostgreSQL, Power BI, and pandas with gotchas.
Convert number bases, data sizes (KB vs KiB), length, mass, and temperature, plus number-to-words.
Build VLOOKUP, XLOOKUP, SUMIFS, COUNTIFS, IF, IFS, and TEXTJOIN formulas visually with explanations.
Format DAX expressions locally and generate YTD, YoY, MoY, and moving-average measures for Power BI.
Translate cron expressions into plain English with a field-by-field breakdown and next-run previews.
Find a common meeting time across timezones with a DST-aware 24-hour grid and local-time summary.
Data work rarely happens in one tool. A dataset arrives as a CSV, gets cleaned, loads into a database, feeds a BI model, and ends up in a report. This category follows that journey:
Every tool processes your data locally in the browser. Nothing is uploaded, which matters when you are working with real business data or personal information.