ggplot

MAF tools application by using TCGA dataset.

This report presents a multivariate analysis of two datasets: California school data and Canadian political contributions. The analysis involves descriptive statistics, correlation studies, and data visualization to explore relationships between key variables. Key findings include: A strong positive correlation (0.87) between the number of teachers and computers in California schools. Descriptive statistics indicate variations in the number of teachers (ranging from 20 to 150) and computers (ranging from 50 to 1200) across schools. A moderate correlation (0.34) between political parties and pharmaceutical industry contributions in Canada. Visual representations such as scatter plots and bar charts provide insights into these relationships, highlighting patterns that could be further examined through advanced multivariate techniques.

As usual, in this weekly review of January 26th, 2025, we will examine the top-performing and underperforming stocks on the Euronext and BRVM (Bourse Régionale des Valeurs Mobilières) financial markets.