Data Analysis with R: Bank Marketing and Time Series Analysis

This assignment solution presents a comprehensive data analysis using the R programming language, addressing a series of tasks based on the provided datasets. The first task focuses on exploratory data analysis of a bank marketing dataset, including summary statistics, histograms, bar plots, and confidence intervals for age and proportions. The second task performs hypothesis testing, comparing means and examining the association between categorical variables. The third task delves into correlation and regression analysis using real estate data, exploring relationships between variables and building a linear model. The final task involves time series analysis, including plotting, autocorrelation, decomposition, and forecasting using Holt-Winters method. The solution provides the R code and interpretations for each task, offering a detailed analysis of the datasets and statistical techniques.