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<!DOCTYPE html>
<html>
<head>
<title>highchARRRts - A web interface for constructing interactive charts</title>
<style>
body{
font-family: "HelveticaNeue-Light", "Helvetica Neue Light","Helvetica Neue", Helvetica,sans-serif;
font-weight: 300;
}
ul,ol{
margin:0;
font-weight: bold;
/*padding:0;*/
}
#main-option-list li{
margin-bottom:11px;
}
#main-option-list li span{
font-weight:normal;
}
.option-group{
display:none;
}
#chart-container{
min-width: 400px;
height: 400px;
margin: 0 auto;
}
a{
color:#26b6f1;
}
#attrib{
font-size:12px;
font-weight:bold;
}
h3{
margin:0;
padding:0;
font-size:20px;
}
</style>
<script src="libs/jquery-1.9.1.min.js"></script>
<script src="libs/highcharts.js"></script>
<script src="libs/miso.ds.deps.ie.0.4.1.min.js"></script>
</head>
<body>
<div style="float:left;width:250px;">
<div><img src="imgs/pirate-arr-slim.png" width="235"/></div>
<h3>make interactive charts</h3>
<div id="attrib"><a href="http://github.com/csvsoundsystem/highchARRRts" target="_blank">a csv soundsystem project</a></div>
</div>
<div style="float:left;">
<ol id="main-option-list">
<li>
<span>Enter the key of your Google spreadsheet of your data:</span> <input id="data-path" type="textfield"></input>
</li>
<li><span>Set some general options</span>
<div>
<input id="chart-title" type="texfield" placeholder="Title"></input>
<input id="x-axis-label" type="texfield" placeholder="X-Axis label"></input>
<input id="y-axis-label" type="texfield" placeholder="Y-Axis label"></input>
</div>
</li>
<li>
<span>What is your data?: </span>
<select id="template-selector">
<option value=""></option>
<option value="categorical">Categorical</option>
<option value="scatter">Scatter</option>
<option value="datetime">Time series</option>
</select>
<div id="categorical-options" class="option-group">
<span>Type:</span> <select class="chart-type-selector">
<option value='line'>Line</option>
<option value='column'>Column</option>
<option value='area'>Area</option>
<option value='bar'>Bar</option>
</select>
</div>
<div id="scatter-options" class="option-group">
<span>Type:</span> <select class="chart-type-selector">
<option value='scatter'>Scatter</option>
<option value='column'>Column</option>
<option value='area'>Area</option>
<option value='bar'>Bar</option>
</select>
<input class="x-val" type="texfield" placeholder="X-Value column name"></input>
<input class="y-val" type="texfield" placeholder="Y-Value column name"></input>
</div>
<div id="datetime-options" class="option-group">
<span>Type:</span> <select class="chart-type-selector">
<option value='line'>Line</option>
<option value='spline'>Spline</option>
<option value='scatter'>Scatter</option>
<option value='column'>Column</option>
<option value='area'>Area</option>
<option value='bar'>Bar</option>
</select>
<input class="date-col" type="texfield" placeholder="Date column name"></input>
<input class="val-col" type="texfield" placeholder="Value column name"></input>
<input class="date-format" type="texfield" placeholder="Date format (YYYY-MM-DD)"></input>
</div>
</li>
<li><span>Draw / Update chart with new option</span> <input id="draw-redraw" type="submit" value="GO!"></li>
</ol>
</div>
<div id="chart-container"></div>
<script>
(function(){
var CHART_INFO ={
template: null,
c_type: 'line'
}
$("#template-selector").change(function(){
var template = $(this).val();
$('.option-group').hide();
$("#"+template+"-options").show();
CHART_INFO.template = template;
if (template == 'scatter'){
CHART_INFO.c_type = 'scatter'
}else if (template == 'datetime'){
CHART_INFO.c_type = 'line'
}
});
$('.chart-type-selector').change(function(){
var chart_type = $(this).val();
CHART_INFO.c_type = chart_type;
// calcChartData();
// draw_redraw();
});
function draw_redraw(){
var tmpl = CHART_INFO.template;
var type = CHART_INFO.c_type;
var title = $("#chart-title").val();
var x_axis_label = $("#x-axis-label").val();
var y_axis_label = $("#y-axis-label").val();
var x_col = $('.x-val').val();
var y_col = $('.y-val').val();
var date_col = $('.date-col').val();
var val_col = $('.val-col').val();
var date_format = $('.date-format').val();
var data_path = $('#data-path').val()
if (tmpl == 'categorical'){
categorical_plot(type, title, x_axis_label, y_axis_label, data_path);
}else if (tmpl == 'scatter'){
// CHART_INFO.c_type = type = 'scatter'
scatter_plot(type, title, x_axis_label, y_axis_label, x_col, y_col, data_path)
}else if (tmpl == 'datetime'){
// CHART_INFO.c_type = type = 'line'
datetime_plot(type, title, x_axis_label, y_axis_label, date_col, val_col, date_format, data_path)
}
}
$('#draw-redraw').click(function(){
draw_redraw();
});
function datetime_plot(type, title, x_axis_label, y_axis_label, date_col, val_col, date_format, data_path){
var chart;
var CHART_OPTIONS = {
c_type: type,
date_col: date_col,
date_format: date_format,
val_col: val_col,
title: title,
x_label: x_axis_label,
y_label: y_axis_label,
color_array : ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf', '#aec7e8', '#ffbb78', '#98df8a','#ff9896', '#c5b0d5','#c49c94', '#f7b6d2', '#c7c7c7', '#dbdb8d', '#9edae5']
};
var ds = new Miso.Dataset({
importer : Miso.Dataset.Importers.GoogleSpreadsheet,
parser : Miso.Dataset.Parsers.GoogleSpreadsheet,
key : data_path,
worksheet : "1"
// url : data_path,
// delimiter: ','
});
ds.fetch({
success : function() {
calcChartData();
},
error: function(){
alert('Oh no! There was an error!')
}
});
function calcChartData(){
var series_data = constructDataSeries();
buildGraph(series_data);
};
function sortTimeData(rows){
/* HighCharts will get confused if the data isn't in the proper order */
rows.sort(function(a, b){
var dateA = new Date(a[CHART_OPTIONS.date_col])
var dateB = new Date(b[CHART_OPTIONS.date_col])
return dateA - dateB //sort by date ascending
});
return rows
}
function constructDataSeries(){
var series = [];
var rows = ds.toJSON();
var sorted_rows = sortTimeData(rows);
/* This assumes that your first column is your name column. We could also make CHART_OPTIONS.name_col to explicitly choose that */
var first_col_name = ds.columnNames()[0];
/* Group by name */
var nested = {};
var index_counter = 0;
_.each(sorted_rows, function(row, index){
var series_name = row[first_col_name];
if (!nested[series_name]){
nested[series_name] = {};
nested[series_name]['data'] = new Array();
nested[series_name]['color_index'] = index_counter;
index_counter++;
};
var date_object = moment.utc(row[CHART_OPTIONS.date_col], CHART_OPTIONS.date_format).valueOf()
var arr = [date_object, row[CHART_OPTIONS.val_col]]
nested[series_name]['data'].push(arr);
});
/* Format for HighCharts */
for (var serie in nested){
if (_.has(nested, serie)){
/* We only have 20 colors in our initial color hash, thank you ColorBrewer */
/* So if you load more than 20 series, each one thereafter will just have a random one of those colors */
if (nested[serie]['color_index'] > 20){
var random = Math.floor(Math.random() * (20 + 1));
nested[serie]['color_index'] = random;
};
var obj = {
'name': serie,
'color': CHART_OPTIONS.color_array[nested[serie]['color_index']],
'data': nested[serie]['data']
};
series.push(obj)
}
}
return series;
};
function constructColumnNames(){
var col_names = [];
/* For each column, start at 1 to skip the first column which holds the name */
for (var i = 1; i < ds.columnNames().length; i++){
col_names.push(ds.columnNames()[i]);
};
return col_names;
};
function buildGraph(series_data){
chart = new Highcharts.Chart({
chart: {
renderTo: 'chart-container',
type: CHART_OPTIONS.c_type
},
title: {
text: CHART_OPTIONS.title,
style: {
color: '#303030',
font: 'normal 15px "Arial", sans-serif'
}
},
subtitle: {
text: ''
},
xAxis: {
type: 'datetime',
title: {
text: CHART_OPTIONS.x_label,
style: {
color: '#303030',
font: 'normal 13px "Arial", sans-serif'
}
}
},
yAxis: {
min: 0,
title: {
text: CHART_OPTIONS.y_label,
style: {
color: '#303030',
font: 'normal 13px "Arial", sans-serif'
}
},
},
legend: {
layout: 'vertical',
backgroundColor: '#FFFFFF',
align: 'right',
verticalAlign: 'top',
x: 0,
y: 0,
floating: true,
shadow: false,
borderRadius:0
},
tooltip: {
formatter: function() {
return this.series.name + '<br/>'+
moment(this.x).format(CHART_OPTIONS.date_format) +': '+ this.y;
},
borderRadius: 1,
borderWidth: 1,
shadow: false
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
},
series: series_data
});
};
}
function categorical_plot(type, title, x_axis_label, y_axis_label, data_path){
var chart;
var CHART_OPTIONS = {
c_type: type,
title: title,
x_label: x_axis_label,
y_label: y_axis_label,
color_array : ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf', '#aec7e8', '#ffbb78', '#98df8a','#ff9896', '#c5b0d5','#c49c94', '#f7b6d2', '#c7c7c7', '#dbdb8d', '#9edae5']
};
var ds = new Miso.Dataset({
importer : Miso.Dataset.Importers.GoogleSpreadsheet,
parser : Miso.Dataset.Parsers.GoogleSpreadsheet,
key : data_path,
worksheet : "1"
});
ds.fetch({
success : function() {
calcChartData();
},
error: function(){
alert('Oh no! There was an error.');
}
});
function calcChartData(){
var series_data = constructDataSeries();
var column_names = constructColumnNames();
buildGraph(series_data, column_names);
};
function constructDataSeries(){
var series = [];
var rows = ds.toJSON();
var first_col_name = ds.columnNames()[0];
// For each row
_.each(rows, function(row, index){
var row_values = [];
// For each column, start at 1 to skip the first column which holds the name
for (var i = 1; i < ds.columnNames().length; i++){
row_values.push(row[ds.columnNames()[i]]);
};
// We only have 20 colors in our initial color hash, thank you ColorBrewer
// So if you load more than 20 series, each one thereafter will just have a random one of those colors
if (index > 20){
var random = Math.floor(Math.random() * (20 + 1));
index = random;
}
// Create a highchart series data object
var obj = {
name: row[ds.columnNames()[0]],
color: CHART_OPTIONS.color_array[index],
data: row_values
};
series.push(obj);
});
return series;
};
function constructColumnNames(){
var col_names = [];
// For each column, start at 1 to skip the first column which holds the name
for (var i = 1; i < ds.columnNames().length; i++){
col_names.push(ds.columnNames()[i]);
};
return col_names;
};
function buildGraph(series_data, column_names){
chart = new Highcharts.Chart({
chart: {
renderTo: 'chart-container',
type: CHART_OPTIONS.c_type
},
title: {
text: CHART_OPTIONS.title,
style: {
color: '#303030',
font: 'normal 15px "Arial", sans-serif'
}
},
subtitle: {
text: ''
},
xAxis: {
categories: column_names,
title: {
text: CHART_OPTIONS.x_label,
style: {
color: '#303030',
font: 'normal 13px "Arial", sans-serif'
}
}
},
yAxis: {
min: 0,
title: {
text: CHART_OPTIONS.y_label,
style: {
color: '#303030',
font: 'normal 13px "Arial", sans-serif'
}
},
},
legend: {
layout: 'vertical',
backgroundColor: '#FFFFFF',
align: 'right',
verticalAlign: 'top',
x: 0,
y: 0,
floating: true,
shadow: false,
borderRadius:0
},
tooltip: {
formatter: function() {
return this.series.name + '<br/>' +
this.x +': '+ this.y;
},
borderRadius: 1,
borderWidth: 1,
shadow: false
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
},
series: series_data
});
};
}
function scatter_plot(type, title, x_axis_label, y_axis_label, x_col, y_col, data_path){
var chart;
var CHART_OPTIONS = {
c_type: type,
x_col: x_col,
y_col: y_col,
title: title,
x_label: x_axis_label,
y_label: y_axis_label,
color_array : ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf', '#aec7e8', '#ffbb78', '#98df8a','#ff9896', '#c5b0d5','#c49c94', '#f7b6d2', '#c7c7c7', '#dbdb8d', '#9edae5']
};
var ds = new Miso.Dataset({
importer : Miso.Dataset.Importers.GoogleSpreadsheet,
parser : Miso.Dataset.Parsers.GoogleSpreadsheet,
key : data_path,
worksheet : "1"
});
ds.fetch({
success : function() {
calcChartData();
},
error: function(){
alert('Oh no! There was an error!')
}
});
function calcChartData(){
var series_data = constructDataSeries();
buildGraph(series_data);
};
function sortByXValue(rows){
/* HighCharts will get confused if the data isn't in the proper order */
rows.sort(function(a, b){
var A = a[CHART_OPTIONS.x_col]
var B = b[CHART_OPTIONS.x_col]
return A - B //sort by x ascending
});
return rows
};
function constructDataSeries(){
var series = [];
var rows = ds.toJSON();
var sorted_rows = sortByXValue(rows)
/* This assumes that your first column is your name column. We could also make CHART_OPTIONS.name_col to explicitly choose that */
var first_col_name = ds.columnNames()[0];
/* Group by name */
var nested = {};
var index_counter = 0;
_.each(sorted_rows, function(row, index){
var series_name = row[first_col_name];
if (!nested[series_name]){
nested[series_name] = {};
nested[series_name]['data'] = new Array();
nested[series_name]['color_index'] = index_counter;
index_counter++;
};
var arr = [row[CHART_OPTIONS.x_col], row[CHART_OPTIONS.y_col]]
nested[series_name]['data'].push(arr);
});
/* Format for HighCharts */
for (var serie in nested){
if (_.has(nested, serie)){
/* We only have 20 colors in our initial color hash, thank you ColorBrewer */
/* So if you load more than 20 series, each one thereafter will just have a random one of those colors */
if (nested[serie]['color_index'] > 20){
var random = Math.floor(Math.random() * (20 + 1));
nested[serie]['color_index'] = random;
};
var obj = {
'name': serie,
'color': CHART_OPTIONS.color_array[nested[serie]['color_index']],
'data': nested[serie]['data']
};
series.push(obj)
}
}
return series;
};
function constructColumnNames(){
var col_names = [];
/* For each column, start at 1 to skip the first column which holds the name */
for (var i = 1; i < ds.columnNames().length; i++){
col_names.push(ds.columnNames()[i]);
};
return col_names;
};
function buildGraph(series_data){
chart = new Highcharts.Chart({
chart: {
renderTo: 'chart-container',
type: CHART_OPTIONS.c_type
},
title: {
text: CHART_OPTIONS.title,
style: {
color: '#303030',
font: 'normal 15px "Arial", sans-serif'
}
},
subtitle: {
text: ''
},
xAxis: {
title: {
text: CHART_OPTIONS.x_label,
style: {
color: '#303030',
font: 'normal 13px "Arial", sans-serif'
}
},
startOnTick: true,
endOnTick: true,
showLastLabel: true
},
yAxis: {
min: 0,
title: {
text: CHART_OPTIONS.y_label,
style: {
color: '#303030',
font: 'normal 13px "Arial", sans-serif'
}
},
},
legend: {
layout: 'vertical',
backgroundColor: '#FFFFFF',
align: 'right',
verticalAlign: 'top',
x: 0,
y: 0,
floating: true,
shadow: false,
borderRadius:0
},
tooltip: {
formatter: function() {
return this.series.name + '<br/>'+
CHART_OPTIONS.x_label +': '+ this.x +'<br/>'+ CHART_OPTIONS.x_label +': ' + this.y;
},
borderRadius: 1,
borderWidth: 1,
shadow: false
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
},
series: series_data
});
};
}
}).call(this);
</script>
</body>
</html>