Creating Jitter Plots in Google Data Studio

Jitter plots (or strip plots) are a method for better visualizing the distribution of a set of data. When plotting a large number of data points, overlapping marks can often be a problem. By introducing a small amount of random noise into the data, a jitter plot slightly disperses the data points to make the […]

Makeover Monday with Google Data Studio

Makeover Monday is a social data visualization project that started within the Tableau community. Over the past 2 years, I have participated in many of the weekly challenges to rework a given chart and dataset. Although I’ve been inactive for several months, I’m taking the new year as an opportunity to get back into completing […]

Makeover Monday: Employment Growth in the G7

The subject of this week’s Makeover Monday is a pair of pie charts displaying employment data from the G7. The chart is used in an article on Business Insider, but the original source is a report by the White House Council of Economic Advisers. These charts are used to support the conclusion that the United […]

Makeover Monday: Scottish Index of Multiple Deprivation

This week’s #MakeoverMonday dataset presented a lot of options for visualization. The data is from the Scottish Index of Multiple Deprivation (SIMD), a national report that scores and ranks the relative “deprivation”, or poverty level, across Scotland. The population is divided into “datazones”, which areĀ each associated with a local authority. Each datazone is evaluated onĀ seven […]

Makeover Monday: U.S. National Debt

This week’s #MakeoverMonday features a really simple dataset: the size of the U.S. national debt ($19.5 trillion) compared to that of the rest of the world combined ($39 trillion). I aimed to maintain simplicity in my visualization, representing the debt in blocks of $500 billion: