This study explores the NOAA Storm Database and explores the effects of severe weather events on both population and econommy. The database covers the time period between 1950 and November 2011 The following analysis investigates which types of severe weather events are the most harmful on: 1. Health (both injuries and fatalities) 2. Property and crops (economic consequences)

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Gráfico de áreas apiladas que nos permitirá visualizar cómo cambia la composición del gasto personal en Estados Unidos a lo largo del tiempo en diferentes categorías: Food and Tobacco”, “Clothing”, “Household Operations”, “Medical and Health”, y “Personal Care”.

The dataset Machinery.csv offers information on the amount of money spent on purchasing tractors and related services throughout the production period of 2022-2023 in South Africa. The variables are comprehensively delineated in the data analyses. The utilized skills and competencies gained include: R-programming, R-Markdown, ggplot2 visualizations, Data cleaning, Data pre-processing, Initial data analysis, Data visualizations, Scatterplots and correlation analysis as statistical techniques used to examine relationships between variables, Building regression and linear models, Analyses of simple and multiple linear regression, Diagnostic plots and assessment of the validity of regression assumptions, Regression analysis with categorical data, Addressing outliers and influential observations, and so on.

In this file I've updated my previous work on hypothesis testing and confidence interval calculation and enhanced it further by adding summary of tests in form of a markdown table.