When a Line Chart Becomes Spaghetti
Past a handful of series, a line chart stops letting you follow any of them. Here is what breaks and what to plot instead
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Filtering by tag: data science (8)
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Why a Histogram Can Show You the Wrong Shape
How the number and position of bins can change what you think the distribution is telling you
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What Your Scatter Plot Stops Showing You Once It Gets Crowded
Overplotting is easy to miss and easy to fix, once you stop asking your chart to show every point.
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Raincloud Plots with PtitPrince: See What Your Data Is Really Doing
Three views of your data distribution in one function call
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How to Organise Jupyter Notebooks So Older Work Stays Usable
A lightweight workflow for keeping notebook-heavy projects searchable, readable, and easy to return to
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When a Jupyter Notebook Is the Wrong Tool: Moving Logic Into Modules and Scripts
Notebooks are great for thinking. They are not always the right place to keep the machinery
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Ridgeline Plots in Matplotlib: An Underused Way to Compare Distributions
Build stacked KDE plots from scratch and with joypy to show shape, skew, and spread across multiple groups
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6 Jupyter Notebook Habits That Make Your Work Easy to Return To
From messy exploration to a record that still makes sense months later
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