Time series analysis stands as a cornerstone technique across diverse fields like finance, economics, and meteorology, enabling the comprehension and prediction of data trends over time. In this case study, my focus is on delving into the realm of time series analysis using the R programming language. My objective is to navigate through various techniques for analyzing time series data. These techniques encompass generating synthetic data, visualizing trends, detecting seasonality, and conducting linear regression. Through active exploration and analysis, my aim is to glean insights into the underlying patterns and dynamics encapsulated within the data.

ARIMA Modeling of Inflation

exploratory analysis

Linda Herrera y Gina Buvoli solución de la tarea #2, parte 2

Un análisis sobre el Dengue en el Perú