Welcome to the solution repository for the Mock Paper of the IBA 2023 Batch 4's Big Data Analytics course. Here, we embark on an exciting journey through data exploration and analysis, uncovering insights that drive understanding and innovation.
Understanding data is an exciting journey that starts with familiarity. The beauty of our solution lies in its adaptability. The dataset's local location is subject to your preference, ensuring a seamless reading experience tailored to your setup.
Our solutions come alive through insightful datasets, carefully curated for your exploration:
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Swiggy Restaurant Dataset: Delve into the world of culinary delights! This dataset, sourced from Kaggle, is a treasure trove of information about restaurants on Swiggy. Access the Swiggy dataset on Kaggle: Swiggy Restaurant Dataset
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Students Dropout Dataset: Education's journey is never smooth without data-driven insights. This dataset, also from Kaggle, offers valuable perspectives on student retention predictors. Explore the Students Dropout dataset on Kaggle: Higher Education Predictors of Student Retention, despite missing a couple of columns from our version
If you encounter any issues with notebook rendering, fret not! We've got you covered. Simply click the link below to access the notebook through Binder and continue your data exploration journey uninterrupted.
Just a gentle heads-up, launching the notebook through Binder might take a tad bit of time
In case you prefer a noninteractive notebook viewing experience, you can also check out the notebook using the link provided below: View Notebook via nbviewer
Happy exploring, and may your data-driven insights shine bright! 🚀📊