This homework used the **tidyverse** and **ggplot2** packages to tidy and manipulate data. The data was cleaned and transformed for analysis by converting it into tibble and tsibble formats. Time series data was extracted and visualized, with **seasonal data** being specifically plotted using `gg_season()` and `gg_subseries()`. The **autocorrelation function (ACF)** was also applied for deeper analysis. Daily data was updated into the **tsibble()** format to ensure correct indexing and consistency. The combined data was visualized using various plotting functions from **ggplot2**, enabling a comprehensive exploration of trends, seasonality, and autocorrelation in the time series.

Documento para ilustrar a optenção de probabilidades em ambientes multidecrementais.

Group 8 1. Lee Min Qi 2. Lau Wen Xi 3. Sasmitta A/P Krishnan 4. Ng Jing Wen 5. Lee Xuan Yu

Hit 100 putts from 3ft per day for seven days. Data captured with Blast Motion