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Data Profiling Report Generator

Data Profiling Report Generator tells you what the dataset actually contains, which is usually not what the schema says.

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Data Profiling Report Generator

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Profiling report

Dataset has 5,000 rows and 12 columns. 3 columns have missing values (0.2–1.8%). 2 outliers detected in the amount column.

How the Data Profiling Report Generator works

  1. Load the dataset and generate the profile before doing anything else with it.
  2. Read null rates and cardinality first — a constant column and a mostly-null column are both signals something upstream is wrong.
  3. Look at the outliers individually rather than removing them. A negative amount in a payments column is a finding, not noise.

FAQ

Why profile before analysing?

Because the analysis assumes things about the data that are frequently untrue — that a column is populated, that a date is a date, that amounts are positive. Profiling surfaces those before they become conclusions.

What does a constant column mean?

That every row has the same value, which usually means a field stopped being populated or a filter was applied upstream that nobody mentioned. It carries no information and often signals a problem.

Should outliers be removed?

Not automatically. Some are data errors and some are the most interesting rows in the dataset. Removing them before understanding them is how genuine findings get discarded.

How we compare

Feature Online Tool Store A spreadsheet A BI platform
Nulls and cardinality
Outlier detection
Nothing uploaded
No install

Data Profiling Report Generator tells you what the dataset actually contains, which is usually not what the schema says.

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