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A variable is a symbol that represents a collection of data points, often known as values. Measurement and observation are two more words that have a similar meaning to "value."

  • Categorical variables.
  • Nominal variables.
  • Ordinal variables.
  • Numeric variables.
  • Continuous variables.
  • Discrete variables.

Data science is the process of extracting knowledge from data. The most common variables used in data science are:

  • Data: Data is the raw material for a data scientist to work with. It can be numerical or categorical and it can be structured or unstructured.
  • Dataset: A dataset is a collection of data that has been collected, organized, and formatted in such a way that it can be analyzed by a machine learning algorithm.
  • Machine Learning Algorithm: A machine learning algorithm is an algorithm that learns from training datasets to make predictions or decisions without being explicitly programmed by humans.
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A continuous variable is typically measured on a scale from 0 to 1, with 0 representing the lowest possible value and 1 the highest.

Categorical variables are variables that are categorized into groups and each variable is assigned to a specific group.

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