6 ms·

If anyone wants to improve the usability, data files are: http://www.bloomberg.com/graphics/2016-who-marries-whom/job-name.csv http://www.bloomberg.com/graphic

• 1wheel 11y ago
  I collected the raw files used from the American Community Survey: https://drive.google.com/folderview?id=0ByZIeqREehZySFg3MTdoOVhYTk0&usp=sharing https://drive.google.com/folderview?id=0ByZIeqREehZySFg3MTdo... It looks like I forgot to check in the R script used to process the .dat files to my gist https://gist.github.com/1wheel/a8e65b1576b750c5e3e3 https://gist.github.com/1wheel/a8e65b1576b750c5e3e3, but I'll add it when I get home. We also tried to use salary info like the magazine version https://twitter.com/adamrpearce/status/697844614754123776 https://twitter.com/adamrpearce/status/697844614754123776 did, but had some problems with slighty different occuptation categories: http://www.bloomberg.com/graphics/2016-who-marries-whom/salary.csv http://www.bloomberg.com/graphics/2016-who-marries-whom/sala... Interested to see what people come up with! This is a super interesting, rich data set that deserves much more than what I've done.
• amsilprotag 11y ago
  I'd recommend popping this into your console. $('.job-text').css({color: 'black'})
• stared 11y ago
  If I get some time tomorrow, I will try to do a network visualization - a coincidence graph (like this one http://p.migdal.pl/tagoverflow/ http://p.migdal.pl/tagoverflow/) or something in the line for word2vec (job2vec? ;)).
• sendos 11y ago
  I sorted the data by which occupation marries within the same occupation the most: 13.9% Physicians and Surgeons 10.7% Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders 10.1% none 9.7% Farmers, Ranchers, and Other Agricultural Managers 9.7% Lawyers, and judges, magistrates, and other judicial workers 9.5% Miscellaneous Personal Appearance Workers 9.3% Veterinarians 8.8% Dentists 8.5% Miscellaneous agricultural workers including animal breeders 8.4% Postsecondary Teachers 7.6% Software Developers, Applications and Systems Software 7.6% Health Diagnosing and Treating Practitioners, All Other 7.5% Optometrists 7.3% Chiropractors 7.2% Pharmacists 6.7% Elementary and Middle School Teachers 6.4% Food Service Managers 6.2% Agricultural and Food Scientists 6.1% Physical Therapists 6.1% Gaming Services Workers 6.0% Upholsterers 5.9% Communications Equipment Operators, All Other 5.8% Air Traffic Controllers and Airfield Operations Specialists 5.8% Physical Scientists, All Other 5.8% Nurse Anesthetists 5.5% Chief executives and legislators 5.5% Real Estate Brokers and Sales Agents 5.4% Clergy 5.2% Marine Engineers and Naval Architects 5.0% Psychologists 4.9% Lodging Managers 4.8% First-Line Supervisors of Retail Sales Workers 4.7% Miscellaneous Managers, Including Funeral Service Managers and Postmasters and Mail Superintendents 4.7% Medical Scientists, and Life Scientists, All Other 4.6% Secondary School Teachers 4.0% Textile Knitting and Weaving Machine Setters, Operators, and Tenders 4.0% Podiatrists 4.0% News Analysts, Reporters and Correspondents 4.0% Sewing Machine Operators 3.9% Bailiffs, Correctional Officers, and Jailers 3.9% First-Line Supervisors of Personal Service Workers 3.8% Tailors, Dressmakers, and Sewers 3.8% Economists 3.8% Musicians, Singers, and Related Workers 3.8% Environmental Scientists and Geoscientists 3.8% Property, Real Estate, and Community Association Managers 3.7% Insurance Sales Agents 3.5% Agricultural Inspectors 3.3% Butchers and Other Meat, Poultry, and Fish Processing Workers 3.2% Morticians, Undertakers, and Funeral Directors
  • hkmurakami 11y ago
    Looks like there's a correlation with long hours and isolated work environments away from other peer groups. Doctors for instance are well known for pairing up during the residency grind since it dramatically drops their interactions with anyone outside of their residency program and also occurs during their late 20's. A perfect storm.
    • rayiner 11y ago
      The top 5 is also a list of professions requiring extensive graduate education. There is a lot of pairing up in medical/dental/law school.
      • sendos 11y ago
        FYI, the ranking has changed. The results depend on how the lines of the form "1, 10, BLANK, BLANK, 2.04E+07" are interpreted. Physicians are still up there, but some other occupations have also entered, such as "Farmers, Ranchers"
    • dominotw 11y ago
      >Looks like there's a correlation with long hours and isolated work environments away from other peer groups. Doctors are prestige seekers who see marrying a software programmer as a step down.
      • shitgoose 11y ago
        you are not a doctor, are you?
        • rolfvandekrol 11y ago
          Not a doctor, just frustrated: https://news.ycombinator.com/item?id=11085519 https://news.ycombinator.com/item?id=11085519
          • 11y ago
• kukx 11y ago
  How to interpret this kind of entry (pair-count.csv): 1,1010,,,1.53E+07 where sex_sp and occ_sp is omitted. Also, how to interpret the first entry in the job-name.csv: none,none,0,none I'm currently inclined to simply ignore these in my analysis.
  • 1wheel 11y ago
    In my graphic I ignored those rows, but you could look at only those rows to see which occupations are most likely not to be married.
  • stared 11y ago
    It looks like counts of people with particular job.