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Data-Science-Project-Tuberculosis

Url: https://github.com/DTAMBU/Data-Science-Project-Tuberculosis/blob/main/Data_Science_Project_Tuberculosis_.ipynb

Google Colab: https://colab.research.google.com/drive/1PHE2bGd1YHUXVcxGlzK02yS8Lp_5UrvB#scrollTo=x5HdsZ2TooLN

For this work, 2 different information sources are used, shown below, to extract datasets that will be jointly analyzed:

https://data.worldbank.org/indicator/NY.GDP.PCAP.KD.ZG?most_recent_value_desc=true

https://www.who.int/teams/global-tuberculosis-programme/data

The “geopandas” library will also be used to create geographic plots. To use the library, proceed to load the “ne_110m_admin_0_countries.zip” file also available along with the datasets.

The idea of this report is to generate a working methodology and use several of the Data Analysis tools commonly used in the performance of the data scientist’s activity.

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