Analysis of Air Quality in India before and after COVID-19 lock down. Implemented basic analysis on change in pollution rates due to the lockdown in 2020 based a on dataset from Kaggle. Libraries used: pandas for data cleaning; seaborn and matplotlib for data visualization; numpy and scipy.stats for hypothesis testing and correlation. Implemented using Python (Jupyter Notebook). *Complete project report contained in word document - SDS Project.docx
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Analysis of Air Quality in India before and after COVID-19 lock down. Implemented using Python (Jupyter Notebook). *Complete project report contained in word document - SDS Project.docx
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