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Gestión y Transformación de Datos
Manipulación inicial de datos. Carga de datos en diferentes formatos (CSV, Excel, etc.). Limpieza de datos. Identificación y tratamiento de valores faltantes. Normalización y transformación de variables. Herramientas para transformación: uso de dplyr para filtrado, selección, agrupamiento y mutación de datos. Análisis exploratorio: identificación de patrones y outliers.
Comparing Distributions with Base R: The boxplot() Function
This entry focuses on how to use the boxplot() function in base R to compare multiple groups. It covers customizations like color, labels, and adding references lines, making it easy to summarize and contrast data distributions.
Understanding Distributions Using Base R: The hist() Function
This post explores the creation and customization of histograms in base R using the hist() function. It shows how to visualize distributions, control bin widths, add color, and highlight summary statistics like the mean using abline().
Data Science Assignment 1
Data Science Assignment 1
Visualizing Relationships with Base R: The plot() Function
This post demonstrates the use of the plot() function in base R for creating scatter plots and line graphs. It includes customizations for point style, color, regression lines, and annotations, offering a clean approach to visualizing variable relationships without additional libraries.
