Introduction I like to give makeovers to ugly and/or ineffective data visualizations I encounter as a way to keep my data graphic design skills sharp. This page serves to collect and showcase the results. Education & Parenthood A reliable way to remake an ineffective data visualization is to apply some of the ideas from Cole Nussbaumer Knaflic’s excellent introductory data visualization book…
Original Graphic Our goal is to recreate the graphic below, originally posted by Chris Martz on X. He says, This plot shows the average number of days per year with daily maximum temperatures ≥95°, ≥100° and ≥105° per USHCN station since 1895. The trend is down. Original data graphic Data Visualization Reproducibility Reproducibility refers to a set of practices which ensure that a data product…
Introduction Data analysis comprises a broad range of practices undertaken to extract meaning, discover insights, or inform decisions on the basis of data. Within this set of practices, it’s common to draw a distinction between descriptive and inferential analysis. In this project we’ll analyze how long it takes to solve a crossword puzzle, learn why descriptive and inferential data analysis are…
Introduction Today we’ll learn about an ancient Germanic writing system, clean up some messy data, engineer a couple of simple features, and see if we can find a way to predict the age of some historical artifacts without having to pay for a fancy-schmancy archaeology degree. Along the way, we’ll get a little overview of the tidyverse and tidymodels approaches to data analysis and modeling in R. A…
Introduction I live near Toronto . It’s springtime, and currently about 30 °C. In my opinion, Toronto is too hot in the summer and too cold in the winter. I’d like to know which cities have the least deviation from a tolerable average temperature. Tools This page was created using Quarto . I’m using the tidyverse for data wrangling, ggplot2 and ggExtra to plot. Data First, I created a CSV file…