I love data, so I wanted to somehow plot my wedding day. My now-husband wore his Fitbit on his wrist and I wore mine on my ankle (you can see it in the picture below).
The Data: Heart Rate and Temperature Measurements While Sick Somehow I managed to get mono during a global pandemic at the age of 28. While I was sick I kept track of my temperature just using an oral thermometer, noting the time and temperature.
The Data: Where’s Waldo? This data was found on Data Is Plural, originally posted January 2017.
From Data Is Plural:
In 2015, computer scientist Randy Olson tried computing “the optimal search strategy for finding Waldo” in the seven original Where’s Waldo?
The Data: Avocado Prices This data was found on Kaggle, originally pulled from the Hass Avocado Board website in 2018 and then updated in 2020.
From the Hass Avocado Board:
Presentation: Hear me talk through the making of this visualization. All code featured in the presentation (and more!) can be found in the sections below. The Data: Despite the frequency with which incidents of police brutality occurs in the US, an official centralized record of police violence does not exist.
The Data: SIDER 4.1 Side Effect Resource From the website:
SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts.
Radar plots are also known as spider web or polar plots. These charts are useful for conveying information about multiple quantitative variables using multiple axes, arranged in a circle. In R it is technically possible to use ggplot2 to make these kinds of charts but the fmsb package allows for much easier and more readily customizable charts.
The Data: Portland, OR 2010 Census Data Portland provides open access maps and GIS data as well as census data. Here I chose to focus on data from each Portland neighborhood describing the number of individuals who either own their housing versus rent their housing.
Also known as “radial network diagrams”, chord diagrams are useful for representing connections between groups (“nodes”). The nodes are circularly arranged and relationships are represented using “chords” connecting two nodes.
Ridgeline plots are a variation of density plots in which you aim to compare the distributions of several categorical variables (represented on the y-axis) for a single continuous variable (represented on the x-axis).