Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
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Updated
Mar 15, 2024 - Python
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Built an interactive Excel-based inventory dashboard using PivotTables, charts, slicers, and conditional formatting to monitor stock levels, reorder status, and supplier-wise performance across warehouses. Enabled 30% faster analysis and reporting through real-time, data-driven visualizations for supply chain decisions.
An interactive sales analytics dashboard built for Blinkit to analyze sales performance, product distribution, outlet trends, and key business metrics. Designed to turn raw retail data into clear, actionable insights through visuals, KPIs, and comparative analysis.
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