DataCleanist analyzes tabular data files (CSV, TSV, Excel) and produces a deterministic exploratory data analysis: missing values, duplicates, outliers, distributions, correlations, VIF, mutual information, leakage suspects, PII flags, and a 0-100 data quality score with a five-dimension breakdown. Every number is computed by real code from the file itself - never estimated by a language model - and arrives with an interactive report card (Deep Dive statistics, per-column inspection, scatter explorer) rendered in the conversation. Intended users: data scientists, analysts, and ML engineers who want to understand and quality-check a dataset before modeling or cleaning it. Limitations: in-chat files up to 50 MB, 200,000 rows, and 300 columns; each user gets 5 analyses per rolling 30-day window; the tools analyze files - they do not clean, transform, export, or email data, and follow-up answers quote the computed summary rather than re-deriving statistics. Uploaded data is deleted automatically (raw files within 24 hours, derived outputs within 7 days) and is never used to train models. The full product - larger files, data cleaning, and chat - is available at datacleanist.com.
