This project mainly focus on incidence of TB in South East Asia WHO Region, Which Country in South East Asia mostly affected? Which Age Group are most affected? Either Men and Women who are more affected and why? Is there any factors that causing them prone to TB.
In this project I have used WHO Global Tuberculosis Report for last 2 years and downloaded the dataset, Cleaned them and started exploratory analysis to the data.
TB Project Presentation PDF TB Project PDF.
- Python 3.8.3
- Jupyter Notebook
- SQL Database(MySQL)
- pandas
- numpy
- matplotlib
- sqlite3
- from scipy.stats import ttest_ind (hypothesis testing for two independent variables)
- TB incidence by Age Sex and Risk factor, Who estimates: TB by age, sex and incidence of TB/HIV) https://www.kaggle.com/mpwolke/cusersmarildownloadsburdencsv
- Global Tuberculosis Report 2020 https://apps.who.int/iris/bitstream/handle/10665/336069/9789240013131-eng.pdf
- Global Tuberculosis Report 2019 https://apps.who.int/iris/bitstream/handle/10665/329368/9789241565714-eng.pdf?ua=1
- Global Tuberculosis Report 2018 https://apps.who.int/iris/bitstream/handle/10665/274453/9789241565646-eng.pdf?ua=1
- Global Tuberculosis Report 2017 https://www.who.int/tb/publications/global_report/gtbr2017_main_text.pdf?ua=1
- Global Tuberculosis Report 2016 https://apps.who.int/iris/bitstream/handle/10665/250441/9789241565394-eng.pdf?sequence=1