<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>sendos</author><text>I sorted the data by which occupation marries within the same occupation the most:&lt;p&gt;&lt;pre&gt;&lt;code&gt;     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&lt;/code&gt;&lt;/pre&gt;</text><parent_chain><item><author>casca</author><text>If anyone wants to improve the usability, data files are:&lt;p&gt;&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;job-name.csv&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;job-...&lt;/a&gt;&lt;p&gt;&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;pair-count.csv&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;pair...&lt;/a&gt;</text></item></parent_chain></comment><story><title>Chart Shows Who Marries CEOs, Doctors, Chefs and Janitors</title><url>http://www.bloomberg.com/graphics/2016-who-marries-whom/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>amsilprotag</author><text>I&amp;#x27;d recommend popping this into your console.&lt;p&gt;$(&amp;#x27;.job-text&amp;#x27;).css({color: &amp;#x27;black&amp;#x27;})</text><parent_chain><item><author>casca</author><text>If anyone wants to improve the usability, data files are:&lt;p&gt;&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;job-name.csv&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;job-...&lt;/a&gt;&lt;p&gt;&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;pair-count.csv&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.bloomberg.com&amp;#x2F;graphics&amp;#x2F;2016-who-marries-whom&amp;#x2F;pair...&lt;/a&gt;</text></item></parent_chain></comment><story><title>Chart Shows Who Marries CEOs, Doctors, Chefs and Janitors</title><url>http://www.bloomberg.com/graphics/2016-who-marries-whom/</url></story>