Lawrence Graduates GPA vs. Salary Scatterplot
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LU Graduates GPA vs. Salary
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| year | status | major | gender | gpa | salary | |
|---|---|---|---|---|---|---|
| 2012 | fellowship | psychology | male | 2.8 | none | |
| 2012 | employed | biology | male | 3.3 | 50176 | |
| 2012 | employed | economics | male | 2.2 | 30933 | |
| 2012 | employed | economics | male | 3.4 | 54243 | |
| 2012 | employed | math | female | 3.3 | 44351 | |
| 2012 | employed | economics | female | 3 | 32700 | |
| 2012 | internship | biology | male | 2.8 | none | |
| 2012 | internship | economics | female | 3.1 | none | |
| 2012 | employed | math | male | 3 | 47100 | |
| 2012 | employed | math | male | 3.1 | 50892 | |
| 2012 | employed | economics | male | 2.9 | 25150 | |
| 2012 | grad_school | psychology | female | 2.7 | none | |
| 2012 | job_search | economics | female | 2.2 | none | |
| 2012 | grad_school | math | female | 2.6 | none | |
| 2012 | employed | psychology | male | 3 | 44540 | |
| 2012 | employed | math | male | 2.5 | 34340 | |
| 2012 | internship | spanish | female | 2.3 | none | |
| 2012 | employed | psychology | female | 2.1 | 23635 | |
| 2012 | employed | economics | male | 3.5 | 36700 | |
| 2012 | grad_school | biology | female | 4 | none | |
| 2012 | grad_school | biology | female | 2.5 | none | |
| 2012 | employed | biology | male | 3.3 | 53601 | |
| 2012 | employed | psychology | female | 2.8 | 39850 | |
| 2012 | employed | economics | male | 3.2 | 29078 | |
| 2012 | employed | psychology | male | 3.1 | 42817 | |
| 2012 | grad_school | economics | male | 3.4 | none | |
| 2012 | grad_school | english | male | 2.4 | none | |
| 2012 | employed | economics | male | 3.4 | 44871 | |
| 2012 | employed | economics | male | 3.7 | 63124 | |
| 2012 | employed | math | female | 2.9 | 35428 | |
| 2012 | employed | psychology | female | 2.6 | 21932 | |
| 2012 | employed | math | female | 3.2 | 37800 | |
| 2012 | employed | biology | male | 3.4 | 57629 | |
| 2012 | internship | economics | female | 2.6 | none | |
| 2012 | volunteering | spanish | male | 3.8 | none | |
| 2012 | employed | biology | female | 4 | 60600 | |
| 2012 | employed | economics | male | 3.2 | 11671.2 | |
| 2012 | employed | economics | male | 3.5 | 42800 | |
| 2012 | employed | biology | female | 3 | 30400 | |
| 2012 | grad_school | english | male | 3.7 | none | |
| 2012 | grad_school | psychology | male | 3.1 | none | |
| 2012 | employed | economics | female | 3.3 | 57826 | |
| 2012 | employed | economics | male | 3.3 | 50476 | |
| 2012 | employed | biology | female | 2.1 | 22335 | |
| 2012 | employed | economics | female | 3.8 | 63652 | |
| 2012 | employed | economics | male | 3.7 | 56201 | |
| 2012 | grad_school | economics | female | 3.1 | none | |
| 2012 | employed | psychology | female | 2.1 | 27654 | |
| 2012 | grad_school | biology | male | 2.3 | none | |
| 2012 | employed | math | female | 3.9 | 77315 | |
| 2012 | grad_school | economics | female | 2.3 | none | |
| 2012 | employed | economics | male | 4 | 34160 | |
| 2012 | employed | economics | male | 3.5 | 47100 | |
| 2012 | employed | biology | male | 3.1 | 28365 | |
| 2012 | employed | math | male | 3.5 | 41700 | |
| 2012 | employed | biology | male | 2.5 | 37900 | |
| 2012 | employed | economics | male | 3.7 | 69246 | |
| 2012 | employed | math | female | 3.6 | 46306 | |
| 2012 | employed | economics | female | 2.8 | 33125 | |
| 2012 | employed | math | female | 3.5 | 36700 | |
| 2012 | employed | biology | male | 2.4 | 28064 | |
| 2012 | employed | economics | female | 2.8 | 40550 | |
| 2012 | employed | psychology | female | 3.4 | 48057 | |
| 2012 | employed | psychology | female | 3.8 | 62252 | |
| 2012 | employed | economics | female | 2.5 | 35100 | |
| 2012 | internship | biology | male | 3.3 | none | |
| 2012 | employed | biology | female | 2.9 | 38321 | |
| 2012 | grad_school | economics | male | 3.3 | none | |
| 2012 | employed | economics | male | 2.8 | 43163 | |
| 2012 | employed | biology | female | 2.7 | 28000 | |
| 2012 | employed | psychology | male | 2.3 | 31775 | |
| 2012 | employed | psychology | female | 3.2 | 38300 | |
| 2012 | employed | biology | male | 2.1 | 27954 | |
| 2012 | employed | math | male | 3.9 | 53800 | |
| 2012 | employed | biology | male | 2.9 | 44507 | |
| 2012 | employed | biology | female | 3.6 | 64034 | |
| 2012 | employed | economics | male | 3.7 | 43856 | |
| 2012 | employed | math | female | 2.6 | 35827 | |
| 2012 | internship | psychology | male | 3.6 | none | |
| 2012 | grad_school | psychology | female | 2.4 | none | |
| 2012 | employed | biology | female | 3 | 25600 | |
| 2012 | internship | biology | female | 2.2 | none | |
| 2012 | grad_school | economics | male | 2.4 | none | |
| 2012 | employed | psychology | male | 2.3 | 32575 | |
| 2012 | employed | biology | male | 2.9 | 12934 | |
| 2012 | employed | economics | female | 3.3 | 32376 | |
| 2012 | employed | economics | male | 2.8 | 36038 | |
| 2012 | internship | economics | male | 2.9 | none | |
| 2012 | internship | spanish | female | 2.2 | none | |
| 2012 | employed | economics | male | 3.3 | 49976 | |
| 2012 | employed | math | female | 3.4 | 49657 | |
| 2012 | employed | math | male | 2.8 | 36638 | |
| 2012 | employed | economics | female | 3.7 | 44556 | |
| 2012 | employed | economics | male | 3.5 | 64200 | |
| 2012 | employed | economics | female | 4 | 92900 | |
| 2012 | employed | biology | female | 4 | 85600 | |
| 2012 | grad_school | economics | female | 3 | none | |
| 2012 | grad_school | spanish | male | 2.6 | none | |
| 2012 | employed | economics | female | 2.5 | 28800 | |
| 2012 | employed | economics | female | 2.4 | 22971 | |
| 2012 | employed | biology | female | 2.8 | 22988 | |
| 2012 | internship | psychology | female | 3.1 | none | |
| 2012 | grad_school | psychology | male | 3.5 | none | |
| 2012 | employed | economics | female | 3.5 | 58600 | |
| 2012 | employed | math | male | 2.3 | 26862 | |
| 2012 | grad_school | math | male | 3.2 | none | |
| 2012 | employed | psychology | female | 2.7 | 38667 | |
| 2012 | grad_school | economics | female | 2.2 | none | |
| 2012 | employed | economics | male | 3.1 | 49992 | |
| 2012 | grad_school | economics | male | 2.1 | none | |
| 2012 | grad_school | spanish | male | 3.4 | none | |
| 2012 | employed | economics | male | 2.5 | 28400 | |
| 2012 | employed | economics | female | 3.1 | 28465 | |
| 2012 | employed | economics | female | 3 | 33000 | |
| 2012 | employed | math | female | 2.1 | 30113 | |
| 2012 | employed | math | female | 3.2 | 33689 | |
| 2012 | employed | math | female | 2.5 | 31800 | |
| 2012 | employed | biology | female | 2.6 | 21432 | |
| 2012 | grad_school | economics | male | 3.9 | none | |
| 2012 | internship | spanish | male | 2.9 | none | |
| 2012 | employed | economics | female | 3.5 | 52700 | |
| 2012 | grad_school | economics | female | 2.4 | none | |
| 2012 | employed | biology | female | 3.5 | 42300 | |
| 2012 | grad_school | spanish | male | 3.2 | none | |
| 2012 | employed | psychology | male | 3.2 | 49634 | |
| 2012 | internship | biology | female | 2.5 | none | |
| 2012 | grad_school | economics | female | 3.9 | none | |
| 2012 | employed | psychology | male | 2.9 | 30635 | |
| 2012 | grad_school | english | female | 3 | none | |
| 2012 | employed | economics | male | 3 | 43900 | |
| 2012 | employed | psychology | female | 4 | 60200 | |
| 2012 | fellowship | biology | male | 2.1 | none | |
| 2012 | employed | psychology | male | 3.6 | 46406 | |
| 2012 | grad_school | psychology | male | 3.8 | none | |
| 2012 | employed | math | female | 2.9 | 42714 | |
| 2012 | employed | biology | male | 3.5 | 54000 | |
| 2012 | employed | economics | male | 2.3 | 26962 | |
| 2012 | employed | economics | female | 3.1 | 39479 | |
| 2012 | employed | economics | male | 3.9 | 61172 | |
| 2012 | employed | math | female | 3.8 | 49152 | |
| 2012 | employed | biology | female | 3.9 | 76415 | |
| 2012 | employed | economics | male | 4 | 77600 | |
| 2012 | employed | math | female | 3 | 30700 | |
| 2012 | employed | psychology | female | 2.8 | 43363 | |
| 2012 | employed | biology | male | 2.8 | 10600 | |
| 2012 | employed | economics | female | 3.4 | 54443 | |
| 2012 | employed | economics | male | 3.4 | 38886 | |
| 2012 | employed | psychology | female | 2.7 | 40422 | |
| 2012 | employed | economics | male | 2.1 | 26194 | |
| 2012 | employed | psychology | female | 3 | 40200 | |
| 2012 | employed | economics | female | 3.6 | 57858 | |
| 2012 | grad_school | economics | female | 3.7 | none | |
| 2012 | employed | economics | male | 3.6 | 47306 | |
| 2012 | employed | economics | male | 3.6 | 74585 | |
| 2012 | grad_school | psychology | male | 2.1 | none | |
| 2012 | volunteering | english | female | 3.5 | none | |
| 2012 | employed | psychology | male | 3.7 | 76669 | |
| 2012 | employed | psychology | male | 3.8 | 55702 | |
| 2012 | internship | spanish | female | 3.4 | none | |
| 2012 | volunteering | economics | male | 2.4 | none | |
| 2012 | employed | biology | female | 2.8 | 23188 | |
| 2012 | grad_school | economics | male | 3.7 | none | |
| 2012 | employed | math | male | 3.8 | 63152 | |
| 2012 | internship | english | male | 2.5 | none | |
| 2012 | employed | psychology | male | 4 | 114920 | |
| 2012 | grad_school | psychology | male | 2.5 | none | |
| 2012 | employed | economics | female | 3.2 | 46423 | |
| 2012 | employed | psychology | female | 3.7 | 69746 | |
| 2012 | employed | psychology | male | 2.8 | 32925 | |
| 2012 | employed | biology | female | 2.2 | 24750 | |
| 2012 | employed | economics | female | 2.3 | 19944 | |
| 2012 | grad_school | economics | female | 2.2 | none | |
| 2012 | internship | psychology | male | 3.9 | none | |
| 2012 | internship | psychology | male | 3.2 | none | |
| 2012 | employed | economics | male | 3.4 | 43671 | |
| 2012 | employed | math | female | 3.6 | 40030 | |
| 2012 | employed | math | male | 3.6 | 51282 | |
| 2012 | internship | biology | male | 2.5 | none | |
| 2012 | employed | psychology | male | 3 | 34100 | |
| 2012 | grad_school | math | male | 3.7 | none | |
| 2012 | employed | economics | female | 3.3 | 50476 | |
| 2012 | employed | economics | female | 4 | 85300 | |
| 2012 | employed | economics | male | 3.1 | 80163.5 | |
| 2012 | employed | biology | female | 3.9 | 61772 | |
| 2012 | employed | economics | female | 3.5 | 48500 | |
| 2012 | employed | economics | male | 4 | 102300 | |
| 2012 | employed | economics | male | 3.6 | 57758 | |
| 2012 | employed | economics | male | 2.9 | 45007 | |
| 2012 | employed | economics | female | 3.9 | 60672 | |
| 2012 | internship | math | female | 3.9 | none | |
| 2012 | employed | math | female | 3.5 | 100130 | |
| 2012 | volunteering | spanish | male | 3.1 | none | |
| 2012 | employed | biology | male | 3.2 | 42212 | |
| 2012 | employed | economics | male | 2.4 | 42103.9 | |
| 2012 | internship | spanish | male | 3 | none | |
| 2012 | grad_school | economics | female | 3.9 | none | |
| 2012 | internship | spanish | male | 4 | none | |
| 2012 | employed | biology | female | 3.5 | 38100 | |
| 2012 | employed | economics | male | 3.4 | 52743 | |
| 2012 | employed | math | male | 3.9 | 84486 | |
| 2012 | employed | economics | female | 2.8 | 37038 | |
| 2012 | employed | economics | female | 3.3 | 32076 | |
| 2012 | employed | economics | male | 2.5 | 36600 | |
| 2012 | employed | psychology | female | 2.7 | 37167 | |
| 2012 | employed | economics | male | 2.1 | 23535 | |
| 2012 | employed | biology | female | 3.4 | 39686 | |
| 2012 | grad_school | english | female | 3.8 | none | |
| 2012 | employed | economics | female | 2.9 | 34528 | |
| 2012 | internship | math | male | 3.4 | none | |
| 2012 | employed | math | male | 2.4 | 24567 | |
| 2012 | employed | biology | female | 3.6 | 97508.59999999999 | |
| 2012 | employed | economics | male | 2.5 | 34400 | |
| 2012 | employed | economics | female | 3.8 | 62652 | |
| 2012 | employed | biology | male | 4 | 110300 | |
| 2012 | employed | psychology | male | 3.8 | 76553 | |
| 2012 | employed | math | female | 2.8 | 35838 | |
| 2012 | employed | psychology | female | 2.2 | 23850 | |
| 2012 | grad_school | biology | female | 3.8 | none | |
| 2012 | employed | economics | female | 3.7 | 56301 | |
| 2012 | employed | math | female | 2.9 | 35928 | |
| 2012 | employed | biology | female | 2.7 | 40822 | |
| 2012 | grad_school | biology | female | 2.2 | none | |
| 2012 | employed | economics | male | 3.2 | 43112 | |
| 2012 | employed | economics | male | 2.4 | 30660 | |
| 2012 | grad_school | psychology | female | 3.8 | none | |
| 2012 | employed | math | male | 3.5 | 37400 | |
| 2012 | employed | biology | male | 2.2 | 18194 | |
| 2012 | employed | economics | male | 2.7 | 35311 | |
| 2012 | grad_school | psychology | male | 2.3 | none | |
| 2012 | employed | biology | female | 3.4 | 49757 | |
| 2012 | employed | biology | female | 2.3 | 29169 | |
| 2012 | employed | biology | female | 2.2 | 33661 | |
| 2012 | employed | economics | female | 2.7 | 22089 | |
| 2012 | grad_school | psychology | male | 3.5 | none | |
| 2012 | grad_school | economics | male | 3.9 | none | |
| 2012 | employed | math | male | 3.2 | 53745 | |
| 2012 | grad_school | economics | male | 2.6 | none | |
| 2012 | employed | biology | male | 3.3 | 40726 | |
| 2012 | grad_school | math | male | 3.5 | none | |
| 2012 | employed | economics | male | 3.7 | 75469 | |
| 2012 | employed | economics | male | 2.8 | 30113 | |
| 2012 | grad_school | psychology | female | 3.5 | none | |
| 2012 | grad_school | economics | male | 3.3 | none | |
| 2012 | employed | biology | male | 3.5 | 68400 | |
| 2012 | employed | economics | male | 4 | 86000 | |
| 2012 | grad_school | biology | female | 2.4 | none | |
| 2012 | grad_school | economics | female | 2.2 | none | |
| 2012 | employed | economics | male | 2.7 | 22889 | |
| 2012 | employed | biology | female | 3.6 | 41230 | |
| 2012 | grad_school | math | male | 2.6 | none | |
| 2012 | grad_school | psychology | female | 2.9 | none | |
| 2012 | internship | economics | female | 2.8 | none | |
| 2012 | employed | economics | female | 3 | 48300 | |
| 2012 | internship | economics | female | 3.2 | none | |
| 2012 | grad_school | economics | female | 3.9 | none | |
| 2012 | internship | biology | female | 3 | none | |
| 2012 | employed | biology | male | 3.2 | 50334 | |
| 2012 | employed | psychology | female | 2.6 | 35327 | |
| 2012 | grad_school | math | male | 3.2 | none | |
| 2012 | employed | economics | male | 3.7 | 45556 | |
| 2012 | employed | economics | male | 3.7 | 44256 | |
| 2012 | employed | math | female | 2.2 | 23950 | |
| 2012 | volunteering | psychology | male | 2.2 | none | |
| 2012 | employed | biology | female | 2.9 | 27443 | |
| 2012 | employed | economics | male | 2.7 | 25544 | |
| 2012 | employed | economics | male | 3 | 36100 | |
| 2012 | grad_school | math | female | 2.3 | none | |
| 2012 | employed | economics | male | 2.9 | 42214 | |
| 2012 | employed | economics | female | 3.3 | 35501 | |
| 2012 | employed | math | male | 2.9 | 34828 | |
| 2012 | employed | biology | female | 2.9 | 44207 | |
| 2012 | internship | spanish | female | 2.9 | none | |
| 2012 | employed | psychology | female | 3.1 | 42317 | |
| 2012 | grad_school | economics | male | 3.1 | none | |
| 2012 | grad_school | math | male | 3.9 | none | |
| 2012 | grad_school | psychology | female | 2.9 | none | |
| 2012 | employed | economics | male | 3.8 | 75953 | |
| 2012 | employed | economics | male | 3.7 | 69546 | |
| 2012 | employed | economics | male | 3.2 | 30578 | |
| 2012 | grad_school | biology | male | 2.8 | none | |
| 2012 | internship | psychology | male | 2.4 | none | |
| 2012 | employed | psychology | female | 2.3 | 59467.7 | |
| 2012 | employed | economics | male | 2.9 | 38621 | |
| 2012 | grad_school | spanish | male | 4 | none | |
| 2012 | employed | biology | male | 3.2 | 41312 | |
| 2012 | employed | economics | female | 2.9 | 41814 | |
| 2012 | employed | economics | male | 2.9 | 39121 | |
| 2012 | employed | economics | male | 2.2 | 22222 | |
| 2012 | employed | economics | female | 2.1 | 23535 | |
| 2012 | employed | math | female | 4 | 85100 | |
| 2012 | employed | math | male | 2.6 | 20832 | |
| 2012 | employed | math | male | 3.6 | 74885 | |
| 2012 | employed | economics | male | 2.9 | 27443 | |
| 2012 | employed | biology | female | 3.6 | 47206 | |
| 2012 | employed | math | male | 2.8 | 29913 | |
| 2012 | grad_school | psychology | male | 3 | none | |
| 2012 | employed | economics | male | 2.9 | 17962.8 | |
| 2012 | volunteering | economics | female | 3.1 | none | |
| 2012 | employed | economics | male | 3.1 | 39279 | |
| 2012 | employed | math | female | 2.6 | 30689 | |
| 2012 | employed | math | female | 3.8 | 82903 | |
| 2012 | volunteering | economics | male | 3.8 | none | |
| 2012 | employed | economics | male | 3.7 | 44456 | |
| 2012 | internship | english | female | 2.5 | none | |
| 2012 | internship | biology | female | 3.3 | none | |
| 2012 | grad_school | biology | female | 3.7 | none |
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| var margin = {top: 20, right: 100, bottom: 30, left: 60}, | |
| width = 960 - margin.left - margin.right, | |
| height = 500 - margin.top - margin.bottom; | |
| var x = d3.scale.linear() | |
| .range([0, width]); | |
| var y = d3.scale.linear() | |
| .range([height, 0]); | |
| var color = d3.scale.category10(); | |
| var xAxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom"); | |
| var yAxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("left"); | |
| var svg = d3.select("body").append("svg") | |
| .attr("width", width + margin.left + margin.right) | |
| .attr("height", height + margin.top + margin.bottom) | |
| .append("g") | |
| .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| d3.csv("luGrads2012.csv", function(d) { | |
| return { | |
| year: +d.year, | |
| status: d.status, | |
| major: d.major, | |
| gender: d.gender, | |
| gpa: +d.gpa, | |
| salary: d.salary | |
| }; | |
| }, function(error, data) { | |
| data = _.filter(data, function(obj) { | |
| return obj.salary != "none"; | |
| }); | |
| data = _.map(data, function(obj){ | |
| obj.salary = +obj.salary; | |
| return obj; | |
| }); | |
| x.domain(d3.extent(data, function(d) { return d.gpa; })).nice(); | |
| y.domain(d3.extent(data, function(d) { return d.salary; })).nice(); | |
| svg.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis) | |
| .append("text") | |
| .attr("class", "label") | |
| .attr("x", width) | |
| .attr("y", -6) | |
| .style("text-anchor", "end") | |
| .text("GPA"); | |
| svg.append("g") | |
| .attr("class", "y axis") | |
| .call(yAxis) | |
| .append("text") | |
| .attr("class", "label") | |
| .attr("transform", "rotate(-90)") | |
| .attr("y", 6) | |
| .attr("dy", ".71em") | |
| .style("text-anchor", "end") | |
| .text("Salary") | |
| update(data); | |
| function update(dat){ | |
| svg.selectAll(".dot").remove(); | |
| var points = svg.selectAll(".dot") | |
| .data(dat) | |
| points.enter().append("circle") | |
| .attr("class", "dot") | |
| .attr("r", 3.5) | |
| .attr("cx", function(d) { return x(d.gpa); }) | |
| .attr("cy", function(d) { return y(d.salary); }) | |
| .style("fill", function(d) { return color(d.major); }); | |
| } | |
| var legend = svg.selectAll(".legend") | |
| .data(color.domain()) | |
| .enter().append("g") | |
| .attr("class", "legend") | |
| .attr("class", "major") | |
| .attr("transform", function(d, i) { return "translate(85," + i * 20 + ")"; }); | |
| legend.append("rect") | |
| .attr("x", width - 18) | |
| .attr("width", 18) | |
| .attr("height", 18) | |
| .style("fill", color); | |
| legend.append("text") | |
| .attr("x", width - 24) | |
| .attr("y", 9) | |
| .attr("dy", ".35em") | |
| .style("text-anchor", "end") | |
| .text(function(d) { return d; }); | |
| legend.on("mouseenter", function(maj){ | |
| var newData = _.filter(data, function(stu) { | |
| return stu.major == maj; | |
| }); | |
| update(newData); | |
| }); | |
| legend.on("mouseleave", function(maj){ | |
| update(data); | |
| }) | |
| }); | |
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