This presentation explores the fascinating world of cellular senescence through the lens of statistical analysis. I analyze patterns in the GenAge database to uncover relationships between different senescence mechanisms. The project showcases hypothesis testing, interactive 3D visualizations, and network analysis techniques while demonstrating how data science can provide insights into biological aging processes.

Implement an R function to generate a line graph depicting the trend of a time-series dataset with separate lines for each group,utilizing ggplot2’s group aesthetic.

This research project aims to analyze the impact of waterborne diseases on public health in West Africa, based on existing data and statistical analysis methods. Waterborne diseases such as cholera, typhoid fever, and acute diarrhea remain widespread in this region due to limited access to safe drinking water, sanitation, and hygiene.The project began with a structured literature review, which made it possible to:Define the main waterborne diseases and their transmission mechanisms,Provide an overview of access to drinking water in West Africa,Examine the correlations between waterborne diseases and water quality,Identify aggravating factors and mitigation policies.The study then relied on existing epidemiological data at the country level in West Africa. Using a set of variables such as access to safe drinking water, sanitation coverage, frequency of waterborne diseases, and socio-economic indicators, several quantitative methods were implemented, including:A factorial analysis, which showed that the first two axes explained 67.42% of the variance,A classification of household profiles based on sanitary conditions,Regression models to identify predictive variables of disease occurrence.Hypothetical data collection tools were also designed, such as a household questionnaire focusing on water sources, hygiene practices, and the frequency of illnesses within the household. The chosen approach takes into account field realities, including linguistic diversity, education levels, and geographical accessibility.Special attention was paid to the management of missing data, which was addressed using statistical imputation techniques in R to ensure the robustness of the analyses.In conclusion, this work highlights the close links between water infrastructure, public policy, and population health. It emphasizes the urgent need to strengthen investments in water, sanitation, and hygiene to sustainably reduce the burden of waterborne diseases in West Africa.

Write an R script to ccreate a scatterplot incooperating categorical analysis through color coded data points represent different groups using ggplot2.

Develop an R program to quickly explore a given data set, including categorical analysis using the group_by command , and visualize finding using ggplot2 feature.

residuals of the Cobb-Douglas cost function using Nerlove data

The RTI project on IWRM (Integrated Water Resources Management) aims to improve water governance by promoting fair, sustainable, and coordinated management of water resources. In the face of growing challenges related to water scarcity, pollution, and conflicting uses, the project seeks to propose appropriate solutions through a participatory and integrated approach. Its specific objectives are to identify the various uses of water in the intervention area, assess the condition of available resources, analyze potential conflicts, raise awareness among affected populations, and strengthen the capacities of stakeholders. The methodology relies on field surveys and consultations with users. A mapping of resources and an analysis of existing policies. Expected results include a shared diagnosis, concrete recommendations, a roadmap for implementing IWRM at the local level, and a framework for sustainable dialogue between stakeholders. This project involves partners from research, administration, local authorities, and civil society. Ultimately, it aims to reduce water-related tensions, promote more effective integrated management, and contribute to resilient development in the face of environmental and climate challenges.