More Base R functions to do general commands such as graphs, plots and data manipulation.

Using Base R to manipulate data frames and make graphics including plots and graphs.

Statistical Modelling

Time series analysis models

This project involves a series of data manipulation, visualization, and analysis tasks using R, specifically focusing on basketball data and climate data. The first problem examines Kobe Bryant’s play-by-play statistics from the 2008-2009 NBA season, requiring data transformation, filtering, and visualization. The tasks include filtering plays involving Kobe Bryant, centering his shot coordinates, and analyzing his shot attempts and free throws. Visualizations such as scatter plots, density plots, and histograms are created to assess shot patterns, free throw percentages, and the distribution of game days. The second problem analyzes monthly average temperatures in Auckland from July 1994 to January 2024. The task involves reading in the data, converting dates, and transforming it into a time series (tsibble) for further analysis. Throughout the project, the tidyverse, lubridate, and fpp3 packages are used for data wrangling, visualization, and time series analysis.