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suezalla: A custom ggplot2 theme and colour paletteDocument
suezalla is a lightweight R package that provides: Custom ggplot2 themes: theme_suezalla(), theme_zombie(), theme_academic1940(), and theme_academic1940_pattern() Several curated colour palettes inspired by polaroids, jam jars, retro aesthetics, zombies, and classic scientific graphics Pattern fill utilities for ggpattern, including suezalla_academic_style() Custom scale functions: scale_colour_suezalla() and scale_fill_suezalla() These tools help you create clean, consistent, or stylistically bold visualizations with minimal effort.
Report for Motor Trend Magazine
This report explores whether manual or automatic transmissions are associated with better fuel efficiency (measured as miles per gallon, MPG) using the mtcars dataset. We first compare MPG by transmission type using summary statistics and visualizations, followed by regression modeling to quantify the effect while adjusting for confounding variables. Results show that manual transmissions are associated with significantly higher MPG than automatic transmissions, even after adjusting for weight and horsepower. This suggests that, on average, manual cars in this dataset offer better fuel economy.
3. Historia I
Analisis Data Asuransi Kesehatan
Analisis ini menggunakan regresi logistik multinomial untuk mengevaluasi faktor-faktor yang memengaruhi pemilihan produk asuransi kesehatan (A, B, atau C) berdasarkan data 1.453 nasabah, dengan mempertimbangkan usia, jumlah anggota rumah tangga, posisi pekerjaan, jenis kelamin, dan tingkat ketidakhadiran.
Heatmap des corrélations
Visualisation des variables proches
Document
HW7
First Glance at BC8
Maternal Health PRAMS 2011
This project explores how Medicaid coverage shapes maternal health across the U.S. Using 2011 PRAMS data, we focus on states that reported on Medicaid enrollment, early prenatal care, and pre-pregnancy behaviors. In places where more moms had Medicaid during pregnancy, access to essential care was better. That’s not a coincidence—it’s policy working on the ground.