6 Ways to Customise Your Raincloud Plot
Splitting, highlighting, connecting means, tuning the cloud, styling the rain, and knowing when to go vertical
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9 Scientific Data Plots and When They Fail
Every chart has a blind spot. Learn where common scientific visualisations start to hide the patterns that matter.
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From Boxplot to Raincloud: Building a Better Distribution Plot in Python
Constructing a raincloud plot one layer at a time
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3 Jupyter Notebook Habits That Hold Up When Someone Else Opens Them
Small habits that make notebooks easier to rerun and share
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Boxplots Are Hiding Your Data. Here’s a Simple Fix
How overlaying raw data points reveals what your summary statistics quietly discard
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From Default to Publication-Ready: Transforming Matplotlib Histograms
Seven Steps From a Default Chart to Something Worth Publishing
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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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Before You Let AI Write Code, Define the Rules
Why missing specifications can result in behavioural drift in technical workflows
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3 Python Charts You’re Probably Not Using (But Should Be)
Three underused chart types and when to reach for them when working with well log data
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Visualising Well Log Data Availability in the Terminal with Python
Building a coverage heatmap for LAS files using rich and lasio
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Python in Geoscience: An Essential Skill
How Python can help your daily subsurface geoscience workflows
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