Timestamps
In data science, timestamps refer to the specific points in time when an event occurred or a piece of data was collected. Timestamps are used to track changes over time and to analyze patterns and trends in data. They are often used in time series analysis, which involves analyzing data that is collected at regular intervals over time. Timestamps can be represented in a variety of formats, including Unix time (the number of seconds that have elapsed since January 1, 1970), ISO 8601 (a standardized format for representing dates and times), and others. In addition to their use in data analysis, timestamps are also important for data management and data integration, as they help ensure that data is properly organized and aligned across different systems and applications.
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