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June 17, 2020 16:42
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DV - HW2// source https://jsbin.com/mukiciw
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <title>DV - HW2</title> | |
| <script src="https://d3js.org/d3.v5.js"></script> | |
| <script src="https://serv.cusp.nyu.edu/~hvo/files/us-refugees.js" type="text/javascript"></script> | |
| <script src="https://cdn.plot.ly/plotly-latest.min.js"></script> | |
| <style id="jsbin-css"> | |
| .bar { | |
| fill: SteelBlue; | |
| stroke: Black; | |
| } | |
| #title { | |
| font-size:20; | |
| font-family:Sans-Serif; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="chart"></div> | |
| <script id="jsbin-javascript"> | |
| Promise.all([ | |
| d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us.csv"), | |
| d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv"), | |
| d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv") | |
| ]).then(function(data) { | |
| var us = data[0]; | |
| var nys = data[1].filter(record => record.state=='New York'); | |
| var nyc = data[2].filter(record => record.county=='New York City'); | |
| let datasets = [us, nys, nyc], | |
| titles = ['US', 'NYS', 'NYC'], | |
| colors= ['#1f77b4', '#ff7f0e', '#2ca02c']; | |
| let traces = []; | |
| datasets.forEach((dataset, i)=>{ | |
| // for cases | |
| traces.push({ | |
| x: dataset.map(d => d.date), | |
| y: dataset.map(d => d.cases), | |
| type:'line', | |
| name: titles[i] + ' Cases', | |
| marker: {color:colors[i]} | |
| }); | |
| // for deaths | |
| traces.push({ | |
| x: dataset.map(d => d.date), | |
| y: dataset.map(d => d.deaths), | |
| mode:'lines', | |
| name: titles[i] + ' Deaths', | |
| line: {dash: 'dot'}, | |
| marker:{color:colors[i]} | |
| }); | |
| }); | |
| let layout = { | |
| title: 'Covid-19 Cases in NYC vs. NYS and US', | |
| width: 700, | |
| height: 400, | |
| xaxis:{ | |
| title: 'Date', | |
| ticks: 'outside', | |
| nticks: 5, | |
| mirror: true, | |
| linewidth: 1, | |
| }, | |
| yaxis: { | |
| title: 'Number of Cases', | |
| ticks: 'outside', | |
| mirror: true, | |
| linewidth: 1, | |
| } | |
| } | |
| Plotly.newPlot('chart', traces, layout); | |
| }); | |
| </script> | |
| </body> | |
| </html> |
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| .bar { | |
| fill: SteelBlue; | |
| stroke: Black; | |
| } | |
| #title { | |
| font-size:20; | |
| font-family:Sans-Serif; | |
| } |
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
| Promise.all([ | |
| d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us.csv"), | |
| d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv"), | |
| d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv") | |
| ]).then(function(data) { | |
| var us = data[0]; | |
| var nys = data[1].filter(record => record.state=='New York'); | |
| var nyc = data[2].filter(record => record.county=='New York City'); | |
| let datasets = [us, nys, nyc], | |
| titles = ['US', 'NYS', 'NYC'], | |
| colors= ['#1f77b4', '#ff7f0e', '#2ca02c']; | |
| let traces = []; | |
| datasets.forEach((dataset, i)=>{ | |
| // for cases | |
| traces.push({ | |
| x: dataset.map(d => d.date), | |
| y: dataset.map(d => d.cases), | |
| type:'line', | |
| name: titles[i] + ' Cases', | |
| marker: {color:colors[i]} | |
| }); | |
| // for deaths | |
| traces.push({ | |
| x: dataset.map(d => d.date), | |
| y: dataset.map(d => d.deaths), | |
| mode:'lines', | |
| name: titles[i] + ' Deaths', | |
| line: {dash: 'dot'}, | |
| marker:{color:colors[i]} | |
| }); | |
| }); | |
| let layout = { | |
| title: 'Covid-19 Cases in NYC vs. NYS and US', | |
| width: 700, | |
| height: 400, | |
| xaxis:{ | |
| title: 'Date', | |
| ticks: 'outside', | |
| nticks: 5, | |
| mirror: true, | |
| linewidth: 1, | |
| }, | |
| yaxis: { | |
| title: 'Number of Cases', | |
| ticks: 'outside', | |
| mirror: true, | |
| linewidth: 1, | |
| } | |
| } | |
| Plotly.newPlot('chart', traces, layout); | |
| }); |
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