Section 1.1: NATO vs. Russia

One of the most significant events of 2022 was the conflict between Russia and Ukraine. The infographic below illustrates the contrasting military capabilities of NATO and Russia. You can find the underlying data here.

This infographic is impressive, combining multiple pictographs into a cohesive design that clearly conveys its message. It highlights NATO's superiority over Russia in nearly every category, with the exception of nuclear weapons. It’s intriguing to consider how this dynamic might shift if Russia allocated its nuclear budget towards other areas. 🤔

Section 1.2: Inflation’s Impact on Daily Costs

The conflict between Russia and Ukraine has also led to rising inflation rates. By examining the visualization above, you can see how inflation has affected the prices of everyday goods such as gasoline, coffee, and corn. (On a positive note, orange juice prices have decreased!)

If you’re interested in a similar style of visualization, it resembles a bar chart race—a dynamic representation that evolves over time. If you're keen to create your own, here's a tutorial to guide you.

You can start making your own visualizations today on Saturn Cloud!

Section 1.3: School Shootings by Country

Sometimes, a straightforward bar chart is all that's needed to deliver a powerful message. This visualization details the frequency of school shootings by country from 2009 to 2018. If this doesn't signify a gun problem in the U.S., I'm not sure what does!

For context, the U.S. experiences 48 times more school shootings than the next highest country.

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Section 1.4: Educational Trends in U.S. Colleges

Shifting the focus back to education, the image above depicts the fastest-growing and declining fields of study in U.S. colleges. STEM disciplines are rapidly expanding, while the arts and humanities are experiencing significant reductions. This information comes from the U.S. Department of Education.

Section 1.5: Password Security in 2022

Have you ever wondered why certain websites enforce complex password requirements? This visualization illustrates how long it takes for a hacker to crack your password in 2022.

What enhances this visualization is its comprehensive nature, especially the color coding that represents the time required to successfully breach different password types. The data was sourced from How Secure is My Password and was crafted using Illustrator and Excel.

Section 2.1: Dominance of Web Browsers Over 28 Years

Now, let’s look at popular trends; this visualization tracks the most widely used web browsers over the past 28 years. As of March 2022, Google Chrome commands a staggering 80% of the market share, which contrasts sharply with earlier years.

This visualization is categorized as a pie chart race, which serves a similar purpose to a bar chart race but emphasizes proportions rather than absolute figures. The data was gathered from various sources, including:

• W3Schools (from July 1999 to present)
• WebSideStory (from February 1999 to June 2006)
• GVU WWW user survey (from January 1994 to October 1998)
• EWS Web Server at UIUC (from June 1996 to December 1998)

Section 2.2: Popular Websites Since 1993

While browser trends are intriguing, website popularity is equally compelling. This visualization illustrates the most visited websites since 1993. Surprisingly, Yahoo still ranks as the ninth most visited site as of January 2022!

This type of data visualization is known as a bar chart race, which you might have seen frequently on platforms like YouTube and Reddit.

Section 2.3: Languages Spoken Worldwide

Another straightforward yet impactful visualization is the bar chart displaying the most spoken languages globally, with English, Mandarin, and Hindi at the top.

This chart was created using ggplot in R, leveraging data from Wikipedia. You can also design your own visualizations using ggplot on SaturnCloud!

Section 2.4: Fast Food Chain Dominance

To conclude, this visualization showcases the top 50 largest fast food chains in the U.S. based on the number of locations. It categorizes them by food type, where the size of each restaurant symbolizes its scale.

Who would have guessed that there are more Subways and Starbucks than McDonald's?

This visualization employs a treemap format, ideal for displaying hierarchical and partitioned data. If you're interested in learning how to create one using Python, check out this link.