Zusammenhang zwischen Schulqualität (LAYS) und Gender Development Index (GDI)

Digitised version of the data collected by Greg Forsyth for the biomass rankings at plot 10 in the swartboskloof.

An exploratory analysis of the NOAA Storm Database (1950-2011) identifying which severe weather event types are most harmful to population health (fatalities and injuries) and which cause the greatest economic damage (property and crop losses). Findings show tornadoes are the leading cause of both fatalities and injuries, while floods, hurricanes/typhoons, and tornadoes cause the greatest economic losses.

Math problems of the day for 7/13/26.

This report presents an exploratory analysis of the training data sets for the Data Science Capstone project. It includes basic summaries of the data, such as file sizes, word counts, line counts, and frequency analysis of common words and phrases. Visualizations are provided to highlight key patterns and characteristics of the data. The report also outlines the planned approach for building a text prediction algorithm and developing a Shiny application that will provide word predictions based on user input. The analysis is presented in a concise and understandable manner for both technical and non-technical stakeholders.