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Explore and understand the intricacies of global mortality patterns with our comprehensive analysis project. Leveraging the power of R for data analysis and forecasting, we delve into the world of non-communicable diseases, emphasizing gender disparities and regional trends in causes of death.

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nihareeka/Global-Cause-of-Death-Analysis-R-Forecasting

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Global Cause of Death Analysis (R, Data Analysis, Forecasting)

Welcome to the Global Cause of Death Analysis repository! This project aims to provide a comprehensive analysis of global death causes, with a particular focus on non-communicable diseases. Through extensive data analysis and forecasting using R, we delve into identifying gender disparities and regional trends, enabling informed decision-making in the realm of public health.

Key Features:

  • Data Analysis: Explore detailed insights into global death causes, emphasizing non-communicable diseases.

  • Gender Disparities: Uncover patterns and disparities in death causes based on gender.

  • Regional Trends: Analyze geographical variations and trends in global death causes.

  • Forecasting: Utilize regression and time series analysis to forecast non-communicable disease-related deaths over the next five years.

Clone the Repository:

git clone https://github.com/nihareeka/Global-Cause-of-Death-Analysis-R-Forecasting.git

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Explore and understand the intricacies of global mortality patterns with our comprehensive analysis project. Leveraging the power of R for data analysis and forecasting, we delve into the world of non-communicable diseases, emphasizing gender disparities and regional trends in causes of death.

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