Data Profiling & Insights
Understand your data before you change it.
See what's really in your file, before you touch it.
Data Profiling infers each column's type from a random sample of 1,000 rows, then profiles the first 1,000 rows for headline stats. Every header shows a histogram plus null, invalid and unique counts — no click required. Around 20 types are recognized, so figures, dates, emails, currencies and more are told apart automatically.
Instant histograms
Visual distributions
See the shape of every column at a glance — where values cluster, and where they don't.
Outliers and mixed types
A value more than three standard deviations from the mean (z > 3), or a value that doesn't match its column's type, is flagged automatically in the Health Hub panel as you profile.
What each header shows
Uniqueness count
How many distinct values exist — useful for spotting duplicates in ID columns.
Null analysis
The exact share of missing values, so you can decide whether to Drop or Fill them.
Type inference
The detected type — Money, Date, Text, and around 20 others — plus a flag when a value doesn't match it.
Before and after
- 1 Raw import, before profiling.