This analysis explores the Netflix dataset, focusing on summary statistics, visualizations, and insights into various attributes of Netflix content. The data dive includes: Numeric summaries for columns such as runtime and IMDb scores, providing insights into the central tendency, distribution, and range of values. Categorical summaries for content type, age certification, and genres, revealing the distribution of different categories in the dataset. Visualizations including histograms, scatter plots, and bar charts to explore runtime distributions, the correlation between IMDb and TMDB ratings, and the relationship between genres and age certification. Novel questions are addressed, such as comparing the average runtime between shows and movies, and visualizing interactions between categorical and continuous variables. The analysis provides an in-depth look at Netflix's content structure, target audience, and rating systems.

Modelos ARIMA

MODELOS ARIMA

Projeto da 2 Avaliação de Aprendizagem da disciplina de Computação para Análise de Dados - BCC UFRPE 2024.1

En este análisis, estimaremos el valor de π utilizando una simulación basada en la proporción de puntos dentro de un círculo inscrito en un cuadrado. La técnica consiste en generar puntos aleatorios dentro de un cuadrado y contar cuántos de ellos caen dentro de un círculo inscrito en el cuadrado.

Overview of early American government with a focus on the guiding ideals and internal conflicts. For UH GOVT2306 Fall 2024