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Glossary

Data preparation

Everything done to raw data to make it ready for a particular use: cleaning, reshaping, combining, and selecting.

Cleaning is one part of preparation. Data can be perfectly clean and still be the wrong shape for the analysis in front of you.

See also

  • Data cleaningFinding and correcting values in a dataset that are wrong, inconsistent, duplicated, or missing, so the data can be relied on.
  • Tidy dataA table layout in which each row is one observation, each column is one variable, and each cell holds one value.
  • SchemaThe declared structure of a dataset: its columns, their names and types, and the rules they must satisfy.

Karg checks for many of these when it profiles a file, applies the fixes it is confident about, and sets the rest aside for your review. See how it works, or have our team clean your data for you.