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Analisis Data Kategorik - Tugas Pendalaman Materi Pertemuan 5
Analisis hubungan penggunaan kelas online dengan kelulusan mahasiswa berdasarkan jalur masuk menggunakan data simulasi. Pembahasan mencakup odds ratio marginal dan bersyarat, Paradoks Simpson, serta uji Breslow–Day dan Cochran–Mantel–Haenszel.
Hubungan Antar Tiga Variabel Kategori: Kelas Online, Kelulusan, dan Jalur Masuk
Analisis tabel kontingensi 3 arah untuk melihat hubungan penggunaan kelas online dengan kelulusan mahasiswa, dengan jalur masuk (Reguler/Beasiswa) sebagai kovariat. Mencakup OR marginal dan bersyarat, pemeriksaan Paradoks Simpson, uji Breslow-Day, dan uji Cochran-Mantel-Haenszel (CMH).
Tugas Pendalaman Materi Statistika 5
Nehan Alinskie 3337260130
Tugas 6 Pengantar Regresi Nonparametrik
Regresi Spline Truncated dataset 2
Analisis Asumsi RLS dan RLB Dataset 1
Laporan Analisis Regresi Linier Sederhana (RLS) dan Regresi Linier Berganda (RLB) menggunakan Dataset 1. Pembahasan mencakup sintaks pemrograman R, visualisasi data, estimasi parameter, koefisien determinasi, uji signifikansi (parsial dan simultan), serta serangkaian pengujian asumsi klasik (uji heteroskedastisitas, autokorelasi, multikolinearitas, dan normalitas residual). Disusun untuk memenuhi tugas mata kuliah Pengantar Regresi.
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Se publica actividad relacionado aprendizaje frente a funciones y codigo claves de RStudio.
Visualization Data Based On Real Time Data from Customers
Turning real-time customer data into meaningful insights through data visualization with RStudio. In today’s data-driven environment, customer data is more than just numbers. It can reveal patterns, trends, preferences, and behaviors that help us better understand what customers need and how they interact with a product or service. By using RStudio, I explored and visualized real-time customer data to transform complex information into clear and understandable visual insights. Through interactive charts and meaningful visualizations, data becomes easier to interpret, allowing us to identify trends, monitor customer behavior, and support more informed decision-making. This process shows how data visualization can bridge the gap between raw data and actionable insights. Instead of simply looking at numbers and statistics, visualization helps us see the bigger picture and discover the story behind the data. From real-time data to real-world insights — every dataset has a story waiting to be discovered.
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