A Data Mining Lecture Assignment for wifi and Electricity data from Lanchester University Library

TUGASSS

This project explores the relationship between library occupancy (estimated through WiFi connection counts) and electricity consumption (measured from three energy meters in the library). The datasets are processed through data cleaning, timestamp synchronization, missing value imputation, and integration across sources. The analysis is presented using time series plots, scatter plots, and 24-hour daily profiles, with additional comparisons between weekdays and weekends. The goal is to understand library usage patterns, identify peak hours of occupancy, and examine how these patterns align with energy demand.

Kelompok 2 Data Mining & Visualization (C)

Proyek ini bertujuan untuk menganalisis hubungan antara jumlah pengunjung dan konsumsi energi di perpustakaan kampus. Dengan membandingkan pola pada hari kerja dan akhir pekan, penelitian ini akan memberikan rekomendasi berbasis data untuk mengoptimalkan penggunaan energi dan mendukung keberlanjutan.

Learning R -Tutorial 8 - Answers

Institut Teknologi Sepuluh Nopember | Data Mining dan Visualisasi C | Kelompok 4

La satisfacción es ligeramente mayor en el canal en línea, pero el intervalo de confianza del 93% incluye el 0, por lo que no se puede concluir una diferencia significativa entre los dos canales de atención.