jvns/stats-fun

The jvns/stats-fun repository is a small collection of Jupyter notebooks exploring statistics concepts in a hands-on, visual way. It is less a polished tool and more a learning sandbox, where the author works through statistical ideas using code and charts rather than abstract formulas. The notebooks cover topics like random sampling, how sample sizes affect results, and what happens when you generate data from different distributions. The approach is practical: instead of just reading about a concept, you can run the code, see the outputs, and tweak parameters to build intuition. The interactive format makes it easy to experiment and see how changing inputs shifts the results. This would appeal to anyone trying to get a more intuitive grasp of statistics, whether you are a student, a data-curious PM, or a developer who occasionally encounters statistical claims and wants to understand them better. The concrete examples, like simulating repeated random draws and comparing outcomes, make abstract ideas feel tangible. The README itself does not include any description or setup instructions, so you will need to open the notebooks directly to see what each one covers. Given the minimal documentation, this is best suited to someone comfortable enough with Jupyter notebooks to explore on their own.