Here is a notebook I started that examines the correlation between infection rates and vaccination rates among states in the US.

Here I re-work the analysis I did for the COVID-19 deaths in New York City & Florida, but this time for South Carolina, looking at deaths between January 1 and Sept, comparing to previous years since 2014. I use *total* deaths (not just COVID) to show that it is extremely unlikely we are under counting COVID deaths.

Here I re-work the analysis I did for the COVID-19 deaths in New York City, but this time for Florida, looking at deaths between January 1 and July/August, comparing to previous years since 2014.

These slides present different ways to use data visualization to analyze relationships, including many examples in R and GGplot. We will also briefly discuss other plotting tools.

This week's lecture looks more closely at different methods to visualize differences and deviations from patterns.

This lecture focuses on choices regarding visualizing time, for both discrete time and continuous time series.

This lecture takes a systematic tour through single- and multi-variate visualization of proportional data, including some atypical visualizations.

In this lecture, we will step back and review some general principles for keeping plots uncluttered and legible, as well as the how to deal with different axes, scales, and baselines.

These slides introduce how to use ggplot2 to produce plots, including the idea of a graphics pipeline.

This is the slides for the third week of IDC 6700 (Interdisciplinary Approach to Data Visualization). It reviews some simple common, effective plotting techniques (with examples), and introduces the idea of interaction and navigation in data at a high level.

Slides for the second week of UCF's IDC 6700 (Data Viz). It contains a discussion of graphical perception tasks, ways to encodw numeric data visually, ways to encode distinctions visually, and abstraction / cognitive considerations.

These slides provide a basic overview of various methods of handling and manipulating data in R.

Slides for the first week of UCF's IDC 6700 (Interdisciplinary Approach to Data visualization). It contains an orientation to the course, a basic statistics review, some background terms and concepts, a small history of data visualization, trains of meaningful data, effective graphing basics, and some limitations in data visualization.

These slides provide a simple introduction to the R and RStudio environments for UCF's IDC 6700 (Interdisciplinary Approach to Data Visualization).

I was just noodling a bit with CDC/NCHS data.