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Data Science & Analytics vocabulary · Data Collection and Cleaning

Raw data

Meaning in data science & analytics, with examples

nounCore term

In data science & analytics, raw data means: Data in the form in which it was first collected or exported, before anyone has cleaned, combined or summarised it.

In Turkish: ham veri, işlenmemiş veri

How it is used

You collect, store, export or keep raw data. Teams often keep an untouched raw copy so they can rerun the cleaning steps. 'Raw' contrasts with 'clean', 'processed' and 'aggregated'. Treated as uncountable: 'the raw data is…'.

Example sentences

  1. Can you send me the raw data, not just the summary table?

  2. We keep the raw data for 90 days in case we need to reprocess it.

Common collocations

  • raw data file
  • keep the raw data
  • export raw data
  • raw event data
  • datasetA collection of related data, usually organised as a table of rows and columns, that is used for analysis or for training a model.
  • data cleaningThe process of finding and fixing problems in data, such as wrong formats, typos, duplicates and missing values, so that it can be trusted for analysis.
  • data sourceAny place that data comes from, such as a database, an app, a spreadsheet, a survey, an external API or a file sent by a partner.
  • ETLShort for extract, transform, load: the process of taking data out of source systems, cleaning and reshaping it, and loading it into a warehouse.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Data Collection and Cleaning

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