The most interesting of data-sets have a habit of hiding in plain sight, waiting for ‘someone’ to skew their perspective and figure it out.
If you love to jump into data science, being that ‘someone’, read the note blog below to discover how Pratik navigates through exploratory analysis on Jupyter Notebook.
His Git repo walkthrough provides an in-depth, step-by-step process of the analysis. Perhaps you can find new patterns and pave your way into data analysis.
He uses Jupyter notebook because it makes it share a mix of live code, equations, visualizations, and narrative text. He uses numpy and pandas for computing and data analysis, and finally, matplotlib for a visual representation of the data.
The diagram above demonstrates an interesting analysis into one of the largest and most important open source projects. He has also analyzed the commits of Linus Torvalds which revealed a few interesting facts about him and its contributors.
We love to find a way to grow, explore and learn through enthralling projects like this one. We are relentlessly nurturing our creative drive to innovate. Let us know if you are someone who is passionate about data science. We’d love to explore data and comprehend meaningful insights.
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