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Kaggle offers innovative business results and solutions to companies.
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Your data has a story. Share it with the world.
Another option is to use Tableau Public. Tableau is often marketed as a tool for building dashboards and fancy visualisations, but it's also really useful for exploring a dataset in a quick, visual way. It has a bit of a learning curve too, but not as high as R/Python simply because it's drag-and-drop rather than coding. The ceiling for the kind of analysis you can do in Tableau alone is lower, however.
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NumPy is the fundamental package for scientific computing with PythonPricing:
- Open Source
If you're going to use Python for data analysis, you'll probably want to learn a package like pandas or NumPy on top of vanilla Python, so you're not necessarily saving yourself much time or effort compared to learning Python and R separately.
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