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Nama: Mellyana Dyah Febrianti NIM: 2507016035 Prodi: Statistika Kelas: B Mata Kuliah: Komputasi Statistika Tugas 1

Exploratory analysis of the SwiftKey dataset, including summary statistics, text-length distributions, frequent words, key findings, and plans for the prediction algorithm and Shiny application.

Una empresa inmobiliaria de Cali necesita entender mejor la oferta de vivienda que circula en el mercado urbano, con el fin de tomar decisiones más informadas sobre compra, venta y valoración de propiedades. Para eso se analiza una base de `r "8.319"` registros de propiedades residenciales publicadas en portales de internet (apartamentos y casas), con información de precio, área, ubicación, características físicas y estrato socioeconómico.

Math problems of the day for 8/15/26.

This report presents a analysis of the SwiftKey Dataset provided by Johns Hopkins and Coursera.

# ================================================================ # PALMER PENGUINS # MULTICLASS CLASSIFICATION USING TWO VARIABLES AT A TIME # # Response: # Adelie / Chinstrap / Gentoo # # Numerical variables: # bill_length_mm # bill_depth_mm # flipper_length_mm # body_mass_g # # For EVERY pair of variables fit: # 1. Softmax Regression # 2. LDA # 3. QDA # 4. Ridge Softmax # # Uses all complete observations for each pair. # # Outputs: # - Pairwise true-data scatter plot # - Decision boundary for every method # - Row-normalized confusion matrix for every method # - Accuracy / Macro Precision / Recall / F1 # - Final comparison across all 6 variable pairs # ================================================================

Bài thực hành R sử dụng dữ liệu NHANES để phân tích và trực quan hóa dữ liệu bằng ggplot2 và plotly.