Tables

In data science, tables refer to a structured way of organizing data in rows and columns. Tables are commonly used to store and manipulate large amounts of data, and are often used in data analysis and machine learning tasks. Tables can be created using various tools and programming languages, such as SQL, Python, and R. They can also be stored in various formats, such as CSV, Excel, and databases. Tables can be joined, filtered, sorted, and aggregated to extract meaningful insights from the data. In addition, tables can be visualized using various chart types, such as bar charts, line charts, and scatter plots, to help understand the patterns and relationships in the data.
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