CUB

Лабораторная работа №9 (R) - Визуализация данных в ggplot2

R code ini berisi ringkasan dari rata-rata kecepatan mobil, rata-rata jarak yang ditempuh mobil, standar deviasi data jarak yang ditempuh mobil, scatter plot serta histogram disertai dengan interpretasi visualisasi masing-masing grafik.

Mapa de los epicentros en la ciudad de México desplegados a la par de las líneas del Sistema del Metro.

This project applies time series forecasting techniques to two real-world datasets: ATM cash withdrawals and residential electricity consumption. Part A forecasts daily cash withdrawals for four ATM machines in May 2010 using ARIMA and ETS models, with weekly seasonality patterns identified and incorporated. Part B models monthly residential power usage from 1998-2013 and generates 2014 forecasts, featuring seasonal decomposition and comparison of ARIMA, ETS, STLF, and seasonal naive methods to capture strong monthly patterns driven by heating and cooling demands. The analysis includes data cleaning, exploratory visualization, model comparison, residual diagnostics, and forecast validation.

Kelompok 2: - Sefia Herlina (140610230003) - Tatyaningrum Utami (140610230075) - Hadeelina Shakira Zalianty (140610230083)

Phân tích phương sai, Phân tích tương quan, Hồi qui tuyến tính