Andresviz.log()
Welcome to Andresviz.log()! Here, I share my collection of data visualizations made with R, featuring TidyTuesday challenges and other interesting project!
2025
Visualizing penguin body mass distributions across species (Adelie, Chinstrap, Gentoo) and gender, using data collected from Antarctic islands between 2007-2009.
Agencies from the FBI Crime Data
This map shows the number of law enforcement agencies in California that report crime data to the FBI’s National Incident-Based Reporting System (NIBRS).
This visualization showcases IMDb ratings for The Simpsons episodes across multiple seasons, where color represents the rating (from 4.5 to 8.4) and dot size reflects the number of votes. Notably, Barthood (S27E09) holds the highest rating (8.4), while Lisa Goes Gaga (S23E22) is the lowest-rated episode (4.5) with the most votes.
The top 10 most efficient scorers in the Big West Conference for the 2024-2025 season are ranked by field goal percentage (FG%), with a minimum of 150 field goal attempts (FGA). Player details include team logos, class year, height, total shot attempts, and FG%, with a gradient emphasizing shooting efficiency.
The tidycensus package in R is used to access and visualize U.S. Census data on social vulnerability indicators related to water insecurity in the Western U.S.
Damage Assessment From The Palisades Fire
The damage levels caused by the Palisades Fire are shown across homes built in different decades, with 53.7% of damage assessments categorized as Destroyed (>50%) and 65.9% of homes from the 1970s sustaining No Damage.
A map of Pacific Palisades, California, showing streets, building footprints, and the Pacific Ocean in a minimalist blue-and-beige design.
2024
The James Beard Foundation Awards are annual honors recognizing excellence in the culinary, hospitality, and food media industries across the United States.
Perfume ratings have become more varied in recent decades, with the 2000s and 2010s displaying the widest range driven by diverse user opinions, while the highest ratings consistently reflect luxury brands.
The blog post listing is based on the website source of Andrew Heiss, who has put together an incredible listing template under CC-BY-SA 4.0 license. Thank you!
