st-437 rough draft final project

Business organizations increasingly rely on data analytics and visualization techniques to improve decision-making and evaluate performance. This project focuses on analyzing business performance using data visualization techniques with the help of R programming and modern analytical tools. The study uses business sales datasets to identify trends, patterns, profitability indicators, customer behavior, and operational efficiency. Various visualization techniques including line charts, bar charts, scatter plots, box plots, heatmaps, histograms, and interactive dashboards are used to transform raw business data into meaningful insights. The project demonstrates how visualization techniques support strategic business decisions by improving understanding of sales growth, regional performance, customer purchasing patterns, and profitability trends. The findings show that data visualization improves clarity, simplifies complex business information, and supports effective managerial decision-making.

My R package of the day

Lab assignment #4

Laporan ini berisi analisis regresi linear sederhana untuk mengetahui pengaruh Hours Studied terhadap Performance Index menggunakan RStudio, termasuk uji asumsi, uji signifikansi, dan interpretasi hasil.

Se presenta un inventario de la araneofauna nocturna de la Reserva Natural Bachué (Farallones de Cali, Colombia) basado en dos noches de muestreo mediante transectos. Se registraron 54 individuos (50 identificados a nivel de familia), distribuidos en ocho familias. Theridiidae dominó en abundancia y registros reproductivos, seguida de Ctenidae. Los resultados aportan información base sobre la diversidad de arañas en bosques subandinos del Valle del Cauca, un grupo escasamente estudiado en la región.