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Rotating tabular data by converting columns to rows or rows to columns to change the data representation.
Distinct from Row and Column Manipulations: Specific to data analysis reshaping (stacking/unstacking) rather than UI layout manipulation.
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This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p
Demonstrates how to rotate data by converting columns into rows or vice versa to change the table layout.