Primary Data

Primary data refers to the original data collected for a specific research purpose. It is collected directly from the source through methods such as surveys, experiments, and observations. Primary data is considered more reliable and accurate than secondary data, which is data that has already been collected and published by others. In data science, primary data is often used to train machine learning models and to gain insights into specific research questions. It can be collected through various methods such as online surveys, interviews, and sensor data. The collection and analysis of primary data can be time-consuming and expensive, but it provides valuable insights that cannot be obtained from secondary data alone.

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Hypothesis: In data science, a hypothesis is a proposed explanation or prediction for a phenomenon that can be tested through experimentation or observation. It is a tentative assumption made in order to draw out and test its logical or empirical conse ... Read More >>
Self-driving Cars: Self-driving cars, also known as autonomous vehicles, are vehicles that are capable of sensing their environment and navigating without human input. They use a combination of sensors, cameras, and machine learning algorithms to perceive the ... Read More >>
Location And Time Information: Location and Time Information refers to the data that provides the geographical location and time of an event or occurrence. In data science, this information is used to analyze patterns and trends based on location and time. Location data ... Read More >>

Primary Data

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