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7 Public Interest Charts made with Data.World

At least 18 million open datasets exist today. As data scientists and enthusiasts know, data is often expressed in ways that are incompatible and difficult to work with. We’ve all been there: spending long periods of time just preparing datasets for use, not knowing if someone may have already been through the trouble.

Data.world has built a platform where problem solvers can find an array of interesting, high-quality datasets.

Once you find the dataset you are looking for, data.world offers full Plotly integration. Simply click “open in app” and select Plotly:

There are a variety of other tools that you can analyze your dataset in, including Tableau and Excel among others.

data.world integrations

In this post, we’ll introduce you to this data resource by exploring datasets and making great charts with interesting, salient data.

1. College majors and post-graduate employment: a quick way to investigate what majors have the top employment rates.

Data source: https://data.world/fivethirtyeight/college-majors.

In our first graph, we investigate a dataset from FiveThirtyEight. It was used to generate data for FiveThirtyEight’s story on earnings by college major.

We learn that, among the most popular majors, that fine arts, psychology, and english language and literature have the highest unemployment rates. Conversely, when considering the least popular majors, educational administration, pharmacology, and geological and geophysical engineering have the lowest unemployment rates.

2. Most popular college majors and gender distribution: what popular majors have more women than men and vice versa?

Data source: https://data.world/fivethirtyeight/college-majors.

This grouped bar chart examines the gender distribution within the ten most popular college majors. The most popular college major is biology, which has a total enrollment of 280,709 in the United States — women account for over 60% of this figure. Nursing, the second most popular major with an enrollment of 209,394, is comprised of nearly 90% women. On the other hand, women account for 22% of enrollment in the third most popular major, computer science.

If you’re interested in learning about what type of chart best suits your data.world dataset, see our recent post “Where science meets art,” which was featured in Medium’s Towards Data Science.

3. Men’s mile run records: who has the world’s fastest mile time?

Data source: https://data.world/dataremixed/mens-mile-run-world-record-progression.

This scatter plot looks at the world’s fastest mile-run times since the early 1900s. It was May 1954, or nearly 64 years ago, when the 4-minute mile barrier was first breached. The current ‘fastest mile’ record has now stood for almost 19 years — an astounding 3 minutes and 43 seconds 🏃💨

4. Europe’s fastest growing companies with more than $0.5B revenue

Data source: https://data.world/aurielle/inc-5000-europe-2018.

Inc. 5000 Europe ranks the continent’s fastest-growing private companies. Below, we include only the companies with revenue >$0.5B.

With over $5B in annual revenue, network energy services provider Kommunale Beteiligungsgesellschaft GmbH & Co KG (KSBG) leads list. KSBG offers “comprehensive energy services to all municipalities, covering all essential value-added stages.”

5. State lottery prize to income ratios: where might you have the most luck with a scratch card?

Data source: https://data.world/garyhoov/state-lottery-use-of-funds

West Virginia, South Dakota, Oregon, Delaware, and Rhode Island. What do these states have in common? Their lotteries have the lowest prize-to-income ratios in the United States. In fact, WV gave back a paltry $111,761,000 to lottery prize winners in 2014 while $654,542,000 was spent on games.

Massachusetts is the most generous state when it comes to lottery prizes, giving back 72% of what it takes in. Arkansas, with 71%, is the second most generous state.

6. Price for crude oil vs. what you pay at the pump: examining the relationship.

Data source: https://data.world/ian/petroleum-prices-by-month

Have you ever wondered about the price of crude oil in relation to what you are paying at the pump? Here, we break down a dataset that compares the cost of crude and gasoline over the last 30 years.

Overall, the change in price was very well correlated from the 1980s into the early 2000s. However, in the mid 2000s, the change in the price of fuel (at the pump) exceeded that of crude on the high side. There was another similar occurrence in the early 2010s.

The difference can at least be partially attributed to the fact that crude oil only comprises a portion of the cost that goes into making a gallon of gas. The refining step and then distribution of fuel also leads to the fluctuation of prices at the pump.

7. High school completion and bachelor’s degree attainment in the U.S. since 1940

Data source: https://data.world/nces/high-school-completion-and-bachelors-degree-attainment

Did you know? In 1940, the high school completion rate for females in the United States was just 26.3%! 75 years later, that number increased over three-fold and was sitting at nearly 90% in early 2016.

As of early 2016, females were also graduating with a bachelor’s degree more frequently than men: 33.7% to 33.2%. That wasn’t the case in 1940; men accounted for 5.5% and women 3.8%.

Here’s a little rundown:

1940 graduation rates [High school | bachelor’s]

Male: 22.7% |5.5%

Female: 26.3% |3.8%

2016 graduation rates [High school | bachelor’s]Male 88.5% | 33.2%

Female 89.6% | 33.7%

Inspired by the diversity of the data and some of the graphs in this post? Dig into it on data.world.

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