Recently Published
Frequency barchart
R code for the bar chart drawn from the frequency distribution table of the number of party supporters in Figure 1.1 for use in Data Science I classes.
Frequency table
R code to create a frequency table of the number of party supporters in Table 1.1 for use in Data Science I classes.
Edmonton Lendrum Site Document
March 2024
Actividad2_RegresionMultiple
Documento para maestria de ciencia de datos de la Universidad Javeriana Cali, estudiante Julian Ospina Código: 8984933
A Logistic Regression Approach Using Washdash Data
Access to safe sanitation facilities is a fundamental human right and a key indicator of public health and well-being. However, millions of people worldwide still lack access to adequate sanitation services, leading to significant health risks and environmental challenges. In this project, I aim to leverage data-driven techniques to understand and address the challenges associated with access to safe sanitation.
By analyzing a comprehensive dataset containing information on various factors such as geographical region, residence type, service type, and coverage, I will seek to uncover insights that can inform policy decisions, resource allocation, and interventions aimed at improving sanitation infrastructure and services.
Through statistical modeling, visualization, and interpretation of the data and identify patterns, trends, and disparities in access to safe sanitation. Also, exploring the effectiveness of different sanitation interventions and their impact on public health outcomes.