{"id":925,"date":"2016-10-17T10:02:39","date_gmt":"2016-10-17T17:02:39","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f16\/?p=925"},"modified":"2016-10-17T10:02:39","modified_gmt":"2016-10-17T17:02:39","slug":"blog-post-3-top-earners","status":"publish","type":"post","link":"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/17\/blog-post-3-top-earners\/","title":{"rendered":"Blog Post 3 &#8211; Top Earners"},"content":{"rendered":"<p>For this week, I decided to analyze the <a href=\"https:\/\/controllerdata.lacity.org\/Payroll\/Top-City-Earners\/ar4b-r2td\">Top Earners<\/a> dataset from the LA City Controller&#8217;s Office. The data primarily looks at different occupations vs. the amount they earn. Their salary is further broken down into categories to help us better understand the data. The data types are the occupation, salary, and the types of pay. Some of the types of pay are base pay, \u00a0bonus pay, overtime pay, and others. A record can be described as the salary for each occupation. The recorded this information from payrolls from the year 2013, and are updated on a quarterly basis.<\/p>\n<p>Wallack and Srinivasan define an ontology as &#8220;systems of categories and their interrelations by which groups order and manage information about the people, places, things, and events around them.&#8221; The ontology in this particular dataset is how a single record of salary is broken up into multiple parts to better understand how the salary is structured within different occupations. For example, we can see how a main chunk of the fire captain&#8217;s salary is made up due to overtime pay, whereas the port pilots is due to bonus pay. We can also compare the different base pays across occupations and whether the majority of their income is due to other varied factors.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-930\" src=\"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-17-at-9.54.20-AM-300x157.png\" alt=\"screen-shot-2016-10-17-at-9-54-20-am\" width=\"300\" height=\"157\" srcset=\"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-17-at-9.54.20-AM-300x157.png 300w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-17-at-9.54.20-AM-768x402.png 768w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-17-at-9.54.20-AM-1024x535.png 1024w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-17-at-9.54.20-AM.png 1138w\" sizes=\"auto, (max-width: 300px) 85vw, 300px\" \/><\/p>\n<p>We can draw a conclusion that most of the highest earning individuals are port pilots, apart from that particular fire captain, in the top ten. This information is useful for researchers who would like to know how the salaries of these positions are divided and which occupations earn more on overtime vs. bonuses.<\/p>\n<p>I found it interesting to see how the actually salaries were almost double the base pay, and it was very interesting to learn how they were structured. I think adding more details like how long the people held the position for, and how their salaries evolved with experience might have been useful to a researcher. It might also be helpful to see the gender of the person in this role and compare the differences in the salary of the same post between genders.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For this week, I decided to analyze the Top Earners dataset from the LA City Controller&#8217;s Office. The data primarily looks at different occupations vs. the amount they earn. Their &hellip; <a href=\"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/17\/blog-post-3-top-earners\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Blog Post 3 &#8211; Top Earners&#8221;<\/span><\/a><\/p>\n","protected":false},"author":39,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-925","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/925","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/users\/39"}],"replies":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=925"}],"version-history":[{"count":0,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/925\/revisions"}],"wp:attachment":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=925"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=925"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=925"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}