Pivot tables are valuable tools for summarising and analysing large datasets through aggregation functions like sum and average. The pandas.pivot_table() function in Python allows users to create ...
Primarily started with a single excel file. Loaded that in Jupyter Notebook using Pandas. Created Pivot table with 3 important columns and all the entries. Exported that pivot table in a new Excel ...
Plotly is a popular open-source graphing library that creates interactive, publication-quality visualizations. It supports a wide range of chart types and is widely used in data science and analytics.
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