Your chart is full of information. So why does no one know what it means? Sam and Shifra break down everything you need to know about data visualization and storytelling, from picking the right Python library to presenting charts your exec will actually understand. Spoiler: the pie chart doesn't make it out alive. 🌊

We talk about:

• Matplotlib vs Seaborn vs Plotly (and when to use each)
• Declarative vs imperative frameworks and why it matters
• Chart types for EDA: scatterplots, heatmaps, box plots, and pair plots
• Color psychology, colorblindness, and pretty privilege for data
• Why pie charts get so much hate
• The right chart for the right people (Sam's trifecta)
• Chart titles, KISS, and presenting to executives

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