Marriage not dating chart

By Nathan Yau People typically gravitate towards others who can relate or live a similar lifestyle, which is often reflected in choice of occupation. Similar story with farming. Or the food industry. How people with different occupations match up can say something about how personalities are compatible. In the chart below, select an occupation to see who those with that occupation are more likely to match up with.

This is based on data from the American Community Survey from I counted both married and unmarried couples for the analysis. However, because of the wide array of job choices close to classified by ACS , an occupation can end up in the top five with a fraction of a percentage. I was interested in the wider distributions. I also wanted a mode of comparison that accounted for occupations that are way more common than others.

However, a lot of the CEO and secretary relationships come about because a lot of people are secretaries. It goes the other way around too. Less common occupations overall, such as a stucco mason, are less likely to show up near the top anywhere.

So I used a relative scale that compares occupation-specific rates with the overall married population. You can also still see the data on an absolute scale. How does marriage choice for people with a given occupation differ from how everyone marries? Marriage within the entertainment industry is much more prominent. Family businesses in farming and construction are also more obvious. Mathematicians and statisticians are more likely to match up with financial examiners, social scientists, statistical assistants, andÖcabinetmakers?

How do those with your job match up? When looking at the relative scale, some of the less common jobs really blow up sometimes, because the denominator is so small e.

I thought about placing a maximum threshold on the radius size, but opted to keep it as-is. I suspect less noise with the ACS 5-year sample. Many who work, have a spouse who is not in the labor force. For both scales, I placed minimum thresholds to show labels and decrease opacity, which highlights the more prominent occupations.

The labels were unreadable otherwise. I analyzed the data in R and visualized it with d3. Chart Type Used Points are placed like in a scatter plot, but they are sized based on the square root of data values.

Not Your Mother's Rules: The New Secrets for Dating (The Rules) [Ellen Fein, Sherrie Schneider] on *FREE* shipping on qualifying offers. How long should I wait to respond to his text message? Can I friend him on Facebook? Why did he ask for my number but never call me? When The Rules was published in This is based on data from the American Community Survey from I counted both married and unmarried couples for the analysis. The visual was inspired by Adam Pearce and Dorothy Gambrellís chart for Bloomberg, which looked at the five most common matchups for each desy.tkr, because of the wide array of job choices (close to classified by ACS), an occupation can end up in.

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