This project presents a comprehensive statistical analysis and exploratory data analysis (EDA) of the Chocolate Sales dataset using R. The analysis includes data cleaning, descriptive statistics, exploratory visualizations, correlation analysis, regression modeling, ANOVA, hypothesis testing, and time-based trend analysis. Various charts such as histograms, boxplots, bar charts, scatter plots, heatmaps, and line graphs are used to explore sales performance across countries, products, and salespersons. The project aims to identify key sales patterns, relationships between variables, and business insights that support data-driven decision-making.

Este documento contiene información sensible para uso exclusivo del destinatario. Las fuentes son públicas; el análisis es propietario. Este reporte integra información pública y bases estructuradas para interpretar condiciones territoriales relevantes para planeación política y análisis municipal.

This animation presents Leiden subnetwork detection results for directed, weighted bilateral export trade among the set of countries identified as autonomous actors from 1993 to 2025, using IMF Direction of Trade Statistics. Subnet labels and colors are applied consistently across years to facilitate comparison. These labels are substantive interpretations of the detected communities rather than fixed algorithmic community numbers.

use to help visualize what changed between lab versions