Created
July 23, 2013 18:32
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My Chart with Code
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| require(quantmod) | |
| require(reshape2) | |
| require(rCharts) | |
| #get sp500 prices from Yahoo! Finance | |
| sp500 <- getSymbols("^GSPC", auto.assign = FALSE) | |
| #add 200 day moving average | |
| sp500$ma <- runMean( sp500[,4], n = 200) | |
| #get date, close, and 200day mov avg as a data.frame | |
| sp500.df <- data.frame(index(sp500),coredata(sp500)[,c(4,7)]) | |
| colnames(sp500.df) <- c("date","close","200dMovAvg") | |
| #melt to long format | |
| sp500.melt <- melt( sp500.df, id.vars = 1 ) | |
| #get dates to a javascript favorite format | |
| sp500.melt$date <- as.numeric(as.POSIXct(sp500.melt$date)) * 1000 | |
| #do a NVD3 lineWithFocus chart | |
| n1 <- nPlot( | |
| value ~ date, | |
| group = "variable", | |
| data = sp500.melt, | |
| type = "lineWithFocusChart", | |
| height = 400, | |
| width = 600 | |
| ) | |
| #set xAxis up to format dates | |
| n1$xAxis(tickFormat = "#!function(d) {return d3.time.format('%b %d, %Y')(new Date(d))}!#") | |
| #xAxis auto sets x2Axis, but I like a different format for x2Axis | |
| n1$x2Axis(tickFormat = "#!function(d) {return d3.time.format('%Y')(new Date(d))}!#") | |
| #set yAxis up to format numbers | |
| n1$yAxis(tickFormat = "#!function(d) {return d3.format('0,.0')(d)}!#") | |
| n1 |
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| <!doctype HTML> | |
| <meta charset = 'utf-8'> | |
| <html> | |
| <head> | |
| <link rel='stylesheet' href="http://netdna.bootstrapcdn.com/bootswatch/2.3.1/cosmo/bootstrap.min.css"> | |
| <link rel="stylesheet" href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.1/css/bootstrap-responsive.min.css" > | |
| <link rel='stylesheet' href="http://twitter.github.io/bootstrap/assets/js/google-code-prettify/prettify.css"> | |
| <link rel='stylesheet' href="http://aozora.github.io/bootplus/assets/css/docs.css"> | |
| <link rel='stylesheet' href='http://nvd3.org/src/nv.d3.css'> | |
| <script src='http://ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js' type='text/javascript'></script> | |
| <script src='http://d3js.org/d3.v2.min.js' type='text/javascript'></script> | |
| <script src='http://nvd3.org/nv.d3.js' type='text/javascript'></script> | |
| <script src='http://nvd3.org/lib/fisheye.js' type='text/javascript'></script> | |
| <style> | |
| .rChart { | |
| display: block | |
| margin: auto auto; | |
| width: 100%; | |
| height: 400px; | |
| } | |
| /* | |
| body { | |
| margin-top: 60px; | |
| } | |
| */ | |
| </style> | |
| </head> | |
| <body> | |
| <div class='container'> | |
| <div class='row'> | |
| <div class='span8'> | |
| <div class="bs-docs-example"> | |
| <div id='chart24d41f9a37e9' class='rChart nvd3Plot nvd3'></div> | |
| <br/> | |
| <pre><code class='r'>require(quantmod) | |
| require(reshape2) | |
| require(rCharts) | |
| #get sp500 prices from Yahoo! Finance | |
| sp500 <- getSymbols("^GSPC", auto.assign = FALSE) | |
| #add 200 day moving average | |
| sp500$ma <- runMean( sp500[,4], n = 200) | |
| #get date, close, and 200day mov avg as a data.frame | |
| sp500.df <- data.frame(index(sp500),coredata(sp500)[,c(4,7)]) | |
| colnames(sp500.df) <- c("date","close","200dMovAvg") | |
| #melt to long format | |
| sp500.melt <- melt( sp500.df, id.vars = 1 ) | |
| #get dates to a javascript favorite format | |
| sp500.melt$date <- as.numeric(as.POSIXct(sp500.melt$date)) * 1000 | |
| #do a NVD3 lineWithFocus chart | |
| n1 <- nPlot( | |
| value ~ date, | |
| group = "variable", | |
| data = sp500.melt, | |
| type = "lineWithFocusChart", | |
| height = 400, | |
| width = 600 | |
| ) | |
| #set xAxis up to format dates | |
| n1$xAxis(tickFormat = "#!function(d) {return d3.time.format('%b %d, %Y')(new Date(d))}!#") | |
| #xAxis auto sets x2Axis, but I like a different format for x2Axis | |
| n1$x2Axis(tickFormat = "#!function(d) {return d3.time.format('%Y')(new Date(d))}!#") | |
| #set yAxis up to format numbers | |
| n1$yAxis(tickFormat = "#!function(d) {return d3.format('0,.0')(d)}!#") | |
| n1 | |
| </code></pre> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <script type='text/javascript'> | |
| $(document).ready(function(){ | |
| drawchart24d41f9a37e9() | |
| }); | |
| function drawchart24d41f9a37e9(){ | |
| var opts = { | |
| "dom": "chart24d41f9a37e9", | |
| "width": 600, | |
| "height": 400, | |
| "x": "date", | |
| "y": "value", | |
| "group": "variable", | |
| "type": "lineWithFocusChart", | |
| "id": "chart24d41f9a37e9" | |
| }, | |
| data = [ | |
| { | |
| "date": 1.1678e+12, | |
| "variable": "close", | |
| "value": 1416.6 | |
| }, | |
| { | |
| "date": 1.1679e+12, | |
| "variable": "close", | |
| "value": 1418.3 | |
| }, | |
| { | |
| "date": 1.168e+12, | |
| "variable": "close", | |
| "value": 1409.7 | |
| }, | |
| { | |
| "date": 1.1682e+12, | |
| "variable": "close", | |
| "value": 1412.8 | |
| }, | |
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| }, | |
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| }, | |
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| }, | |
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| "variable": "200dMovAvg", | |
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| }, | |
| { | |
| "date": 1.1975e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
| "date": 1.1976e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
| "date": 1.1978e+12, | |
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| }, | |
| { | |
| "date": 1.1979e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
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| "variable": "200dMovAvg", | |
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| }, | |
| { | |
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| }, | |
| { | |
| "date": 1.1982e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
| "date": 1.1985e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
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| }, | |
| { | |
| "date": 1.1987e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
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| }, | |
| { | |
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| "variable": "200dMovAvg", | |
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| }, | |
| { | |
| "date": 1.1992e+12, | |
| "variable": "200dMovAvg", | |
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| }, | |
| { | |
| "date": 1.1993e+12, | |
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| }, | |
| { | |
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| "variable": "200dMovAvg", | |
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| }, | |
| { | |
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| "variable": "200dMovAvg", | |
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| { | |
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| }, | |
| { | |
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| "variable": "200dMovAvg", | |
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| { | |
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| { | |
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| "variable": "200dMovAvg", | |
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| }, | |
| { | |
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| }, | |
| { | |
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| }, | |
| { | |
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| { | |
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| { | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
| "value": 1504.2 | |
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| { | |
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| "variable": "200dMovAvg", | |
| "value": 1505.1 | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
| "value": 1506.9 | |
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| "value": 1507.8 | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
| "value": 1510.4 | |
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| "value": 1513 | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
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| "variable": "200dMovAvg", | |
| "value": 1520 | |
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| "variable": "200dMovAvg", | |
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| { | |
| "date": 1.374e+12, | |
| "variable": "200dMovAvg", | |
| "value": 1522.4 | |
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| { | |
| "date": 1.3741e+12, | |
| "variable": "200dMovAvg", | |
| "value": 1523.6 | |
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| { | |
| "date": 1.3742e+12, | |
| "variable": "200dMovAvg", | |
| "value": 1524.8 | |
| }, | |
| { | |
| "date": 1.3745e+12, | |
| "variable": "200dMovAvg", | |
| "value": 1526.1 | |
| } | |
| ] | |
| var data = d3.nest() | |
| .key(function(d){ | |
| return opts.group === undefined ? 'main' : d[opts.group] | |
| }) | |
| .entries(data) | |
| nv.addGraph(function() { | |
| var chart = nv.models[opts.type]() | |
| .x(function(d) { return d[opts.x] }) | |
| .y(function(d) { return d[opts.y] }) | |
| .width(opts.width) | |
| .height(opts.height) | |
| chart.xAxis | |
| .tickFormat(function(d) {return d3.time.format('%b %d, %Y')(new Date(d))}) | |
| chart.x2Axis | |
| .tickFormat(function(d) {return d3.time.format('%Y')(new Date(d))}) | |
| chart.yAxis | |
| .tickFormat(function(d) {return d3.format('0,.0')(d)}) | |
| d3.select("#" + opts.id) | |
| .append('svg') | |
| .datum(data) | |
| .transition().duration(500) | |
| .call(chart); | |
| nv.utils.windowResize(chart.update); | |
| return chart; | |
| }); | |
| }; | |
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| </body> | |
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| <script | |
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