Simple step-by-step guide to visualize large Python datasets: • For initial exploration, use Matplotlib/Seaborn for basic plots. • Dive deeper with interactive Bokeh/Plotly dashboards ...

The Marketing Director has suggested using the RFM model. Previously, when the company was smaller, the team could calculate and classify customers using Excel. However, given the large scale of data ...

Visualizing large datasets with python libraries can be improved by reducing the data size before plotting. Sampling, aggregation, and dimensionality reduction are all ways to reduce the data size.