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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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1. Boxplots.ipynb
1. Boxplots.ipynb
 
 
2. bar_graphs.ipynb
2. bar_graphs.ipynb
 
 
3. Point_plot.ipynb
3. Point_plot.ipynb
 
 
4. scatter_plot.ipynb
4. scatter_plot.ipynb
 
 
5. sds_mean-2.ipynb
5. sds_mean-2.ipynb
 
 
6. hypo_test.ipynb
6. hypo_test.ipynb
 
 
7. Correlation.ipynb
7. Correlation.ipynb
 
 
README.md
README.md
 
 
SDS Project.docx
SDS Project.docx
 
 
city_day.csv
city_day.csv
 
 
clean_ver.xlsx
clean_ver.xlsx
 
 

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SDS-Project

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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python data-science statistics correlation scatter-plot hypothesis-testing boxplot bargraph pointplot

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