About this dataset profiler

Drop in a CSV (or paste one) and the tool runs the first pass of exploratory data analysis for you: it infers each column's type, reports the missing-value count and percentage, counts unique values, and — for numeric columns — computes min, max, mean, median, standard deviation and quartiles, flagging outliers with the IQR rule (below Q1 − 1.5×IQR or above Q3 + 1.5×IQR). Categorical columns get a frequency breakdown with a class-imbalance warning, and the summary tiles surface duplicate rows.

It is the checklist from three data-science habits turned into one screen — deciding what to do about outliers, missing data and imbalanced datasets before you train anything. Delimiters (comma, semicolon, tab) are auto-detected and quoted fields are parsed per RFC 4180. Your file never leaves the browser — it is read with the FileReader API and analysed client-side. Related tool: CSV ↔ JSON Converter.