Last active
June 11, 2020 20:49
-
-
Save angelialau/bb7762643bc527cf8be878af2f78d59c to your computer and use it in GitHub Desktop.
DV3 - Lab// source https://jsbin.com/zuwugup
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <title>DV3 - Lab</title> | |
| <script src="https://d3js.org/d3.v5.min.js"></script> | |
| <script src="https://cdn.plot.ly/plotly-latest.min.js"></script> | |
| <style id="jsbin-css"> | |
| #plotTitle { | |
| font-family: Helvetica; | |
| font-size: 16px; | |
| } | |
| .axisLabel { | |
| font-family: Helvetica; | |
| font-size: 14px; | |
| fill: Black; | |
| text-anchor:middle; | |
| } | |
| .legendText { | |
| font-family: Helvetica; | |
| font-size: 12px; | |
| } | |
| .tickLabel { | |
| font-family: Helvetica; | |
| font-size: 8px; | |
| } | |
| #background { | |
| fill: white; | |
| } | |
| #legendBox { | |
| fill: LightGray; | |
| stroke: black; | |
| } | |
| .tickMark { | |
| stroke: black; | |
| fill: none; | |
| } | |
| .dot,.legendItem { | |
| stroke: black; | |
| } | |
| .c2002 { | |
| fill: SteelBlue; | |
| } | |
| .c2004 { | |
| fill: SeaGreen; | |
| } | |
| .c2006 { | |
| fill: IndianRed; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="chart"></div> | |
| <script id="jsbin-javascript"> | |
| d3.csv('https://raw.githubusercontent.com/hvo/datasets/master/nyc_grads.csv') | |
| .then(grads => { | |
| var data = grads | |
| .filter(row => ((row.Type=='Borough Total') && | |
| (row.Cohort%2===0))) | |
| .map(row => [row.Advanced/row.Total*100, | |
| row.DroppedOut/row.Total*100, | |
| row.Cohort, | |
| row.Borough | |
| ]); | |
| createPlot(data); | |
| }); | |
| function createPlot(data){ | |
| let byCohort = d3.nest() | |
| .key(d=>d[2]) // groupby the third element ie year | |
| .entries(data); | |
| let colors = ['SteelBlue', 'SeaGreen', 'IndianRed']; | |
| // create a list of traces, where each trace is one data series: | |
| let traces = byCohort.map((cohort, i) => ({ | |
| // convert each key and value into x and y that plotly detects | |
| x: cohort.values.map(d=>d[0]), // % Advanced | |
| y: cohort.values.map(d=>d[1]), // % droppedOut | |
| mode: 'markers', | |
| type: 'scatter', | |
| name: cohort.key, | |
| marker: { | |
| color: colors[i], | |
| size: 10, | |
| line: { | |
| color: 'black', | |
| width: 1 | |
| }, | |
| } | |
| })); | |
| let layout = { | |
| title: 'NYC High School Graduate Statisics', | |
| width: 500, | |
| height: 500, | |
| xaxis: { | |
| title: 'Advanced Regents (%)', | |
| range:[0, 30], | |
| nticks:7, | |
| ticks: 'outside', | |
| mirror: true, // top border | |
| linewidth: 1, | |
| }, | |
| yaxis: { | |
| title: 'Dropped Out (%)', | |
| range:[0, 30], | |
| nticks:7, | |
| ticks: 'outside', | |
| mirror: true, // right border | |
| linewidth: 1, | |
| } | |
| } | |
| Plotly.newPlot('chart', traces, layout); | |
| // ^ same as | |
| // let chart = d3.select('#chart').node(); | |
| // Plotly.newPlot(chart, traces, layout); | |
| } | |
| </script> | |
| <script id="jsbin-source-css" type="text/css">#plotTitle { | |
| font-family: Helvetica; | |
| font-size: 16px; | |
| } | |
| .axisLabel { | |
| font-family: Helvetica; | |
| font-size: 14px; | |
| fill: Black; | |
| text-anchor:middle; | |
| } | |
| .legendText { | |
| font-family: Helvetica; | |
| font-size: 12px; | |
| } | |
| .tickLabel { | |
| font-family: Helvetica; | |
| font-size: 8px; | |
| } | |
| #background { | |
| fill: white; | |
| } | |
| #legendBox { | |
| fill: LightGray; | |
| stroke: black; | |
| } | |
| .tickMark { | |
| stroke: black; | |
| fill: none; | |
| } | |
| .dot,.legendItem { | |
| stroke: black; | |
| } | |
| .c2002 { | |
| fill: SteelBlue; | |
| } | |
| .c2004 { | |
| fill: SeaGreen; | |
| } | |
| .c2006 { | |
| fill: IndianRed; | |
| } | |
| </script> | |
| </body> | |
| </html> |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #plotTitle { | |
| font-family: Helvetica; | |
| font-size: 16px; | |
| } | |
| .axisLabel { | |
| font-family: Helvetica; | |
| font-size: 14px; | |
| fill: Black; | |
| text-anchor:middle; | |
| } | |
| .legendText { | |
| font-family: Helvetica; | |
| font-size: 12px; | |
| } | |
| .tickLabel { | |
| font-family: Helvetica; | |
| font-size: 8px; | |
| } | |
| #background { | |
| fill: white; | |
| } | |
| #legendBox { | |
| fill: LightGray; | |
| stroke: black; | |
| } | |
| .tickMark { | |
| stroke: black; | |
| fill: none; | |
| } | |
| .dot,.legendItem { | |
| stroke: black; | |
| } | |
| .c2002 { | |
| fill: SteelBlue; | |
| } | |
| .c2004 { | |
| fill: SeaGreen; | |
| } | |
| .c2006 { | |
| fill: IndianRed; | |
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| d3.csv('https://raw.githubusercontent.com/hvo/datasets/master/nyc_grads.csv') | |
| .then(grads => { | |
| var data = grads | |
| .filter(row => ((row.Type=='Borough Total') && | |
| (row.Cohort%2===0))) | |
| .map(row => [row.Advanced/row.Total*100, | |
| row.DroppedOut/row.Total*100, | |
| row.Cohort, | |
| row.Borough | |
| ]); | |
| createPlot(data); | |
| }); | |
| function createPlot(data){ | |
| let byCohort = d3.nest() | |
| .key(d=>d[2]) // groupby the third element ie year | |
| .entries(data); | |
| let colors = ['SteelBlue', 'SeaGreen', 'IndianRed']; | |
| // create a list of traces, where each trace is one data series: | |
| let traces = byCohort.map((cohort, i) => ({ | |
| // convert each key and value into x and y that plotly detects | |
| x: cohort.values.map(d=>d[0]), // % Advanced | |
| y: cohort.values.map(d=>d[1]), // % droppedOut | |
| mode: 'markers', | |
| type: 'scatter', | |
| name: cohort.key, | |
| marker: { | |
| color: colors[i], | |
| size: 10, | |
| line: { | |
| color: 'black', | |
| width: 1 | |
| }, | |
| } | |
| })); | |
| let layout = { | |
| title: 'NYC High School Graduate Statisics', | |
| width: 500, | |
| height: 500, | |
| xaxis: { | |
| title: 'Advanced Regents (%)', | |
| range:[0, 30], | |
| nticks:7, | |
| ticks: 'outside', | |
| mirror: true, // top border | |
| linewidth: 1, | |
| }, | |
| yaxis: { | |
| title: 'Dropped Out (%)', | |
| range:[0, 30], | |
| nticks:7, | |
| ticks: 'outside', | |
| mirror: true, // right border | |
| linewidth: 1, | |
| } | |
| } | |
| Plotly.newPlot('chart', traces, layout); | |
| // ^ same as | |
| // let chart = d3.select('#chart').node(); | |
| // Plotly.newPlot(chart, traces, layout); | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment