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Interactive Data Visualization Using R Markdown and Plotly
This project presents an interactive data visualization of the mtcars dataset using R Markdown and Plotly. It explores the relationship between vehicle weight, fuel efficiency, and cylinder count through interactive scatter plots, allowing users to examine individual observations using hover, zoom, and pan features.
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DATA 624 - Homework 2
Exercises 3.1, 3.2, 3.3, 3.4, 3.5, 3.7, 3.8, 3.9 - FPP3 Chapter 3
Assignment 4 Question 2 Updated
Assignment 4 Question 2 Corrections
NES cross tabs
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Window Functions
Using a mock data set for tips to calculate YTD avg and 6-day avg
Assignment 4 Question 1 Updated
Assignment 4 Question 1 Corrections
Analisis Runtun Waktu Harga GKP Kabupaten Serang dengan Transformasi dan Differencing, serta Metrik Evaluasi Model Peramalan
Membahas pola pergerakan harga gabah kering panen (GKP) di Kabupaten Serang periode Januari 2023–Desember 2024, meliputi transformasi logaritma, differencing untuk mencapai stasioneritas, serta evaluasi akurasi ramalan naif menggunakan data uji tiga bulan terakhir.