Hi peeps! Let me share my assignment titled "Visualisasi Data Time Series" In this project, I explored time series data using R and visualized it to understand trends over time. Feel free to take a look and let me know your thoughts!

This analysis compares batting performance under pressure and low-pressure situations using simulated scores and a permutation test. The observed mean difference in scores was tested against 1000 randomly generated permutations. Results showed that the observed difference is unlikely due to chance, indicating a statistically significant impact of pressure on performance (if p-value < 0.05).

Model SARIMA (0,0,0)(0,0,4) dengan seasonal s=12 beserta Time Series, ACF, dan PACF plot.

Tugas Seasonal ARIMA Simulation ARIMA (0,0,1)(0,1,2)^12

naive coeffs