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Data Science & Analytics vocabulary · Data Collection and Cleaning

Dataset

Meaning in data science & analytics, with examples

/ˈdeɪtəset/nounCore term

In data science & analytics, dataset means: A collection of related data, usually organised as a table of rows and columns, that is used for analysis or for training a model.

In Turkish: veri seti, veri kümesi

How it is used

One of the most frequent words in data work. You load, explore, clean, merge and share a dataset; people talk about a training dataset, a public dataset or a large dataset. Usually written as one word, though 'data set' also appears.

Example sentences

  1. The dataset has about two million rows, so let's take a sample before plotting.

  2. Can you share the cleaned dataset in the team folder?

Common collocations

  • load a dataset
  • clean a dataset
  • public dataset
  • training dataset
  • merge datasets
  • raw dataData in the form in which it was first collected or exported, before anyone has cleaned, combined or summarised it.
  • 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.
  • variableA characteristic that can take different values from one case to another, such as age, city or price; in a table it is usually one column.

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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