I am trying to display a stacked bar chart with dates as xAxis. it display the number of sport session by type of sport.
The idea is to have for a specific time range the number of sessions displayed. For example for the last 4 weeks, the number of sessions per day will be displayed, and for the last 12 weeks, it will display the number of sessions per week.
These values are being calculated and displayed fine. The issue is that they are displayed as a 1px wide bar, instead of a "wide" automatically calculated bar width.
If someone have an idea how this fix this kind of issue... please help!
Data are structured as follows. I only show concerned data
const sessions_summary = [
{
activity_name: 'regular_biking',
date_time: '2020-03-18T15:57:47.853Z',
// ...
},
{
activity_name: 'swimming',
date_time: '2020-03-18T15:57:47.853Z'
},
{
activity_name: 'running',
date_time: '2020-03-19T15:57:47.853Z'
},
// ...
];
Crossfilter:
const ndx = crossfilter(sessions_summary);
const Dimension = ndx.dimension(function(d) {
return d3.timeDay(new Date(d.date_time));
});
Scaletime:
const today = new Date(new Date().toDateString());
const minDate = d3.timeDay(
new Date(
new Date().setDate(
today.getDate() - parseFloat(timeranges[timerange_name]) // 7 or 30 or 90 or 180 or 360 : number of days, depends on the interval selected in Select Entry
)
)
);
let maxDate = d3.timeDay(today);
maxDate = d3.timeDay.offset(maxDate, 1);
const scaletime = d3.scaleTime().domain([minDate, maxDate]);
Chart.x(scaletime);
const interval = intervals[timerange_name]; // d3.timeDay or d3.timeWeek or d3.timeMonth, depending on the choice made in Select Entry
Chart.xUnits(interval);
Group:
const types = [...new Set(sessions_summary.map(session => session.type))];
Group = Dimension.group(function(k) {
return interval(k);
}).reduce(
function(p, v) {
if (v.type in p.types) {
p.types[v.type]++;
} else {
p.types[v.type] = 1;
}
return p;
},
function(p, v) {
p.types[v.type]--;
if (p.types[v.type] === 0) {
delete p.types[v.type];
}
return p;
},
function() {
return {
types: {}
};
}
);
Chart.group(Group, types[0], sel_stack(types[0])).render();
for (let i = 1; i < types.length; i++) {
Chart.stack(Group, types[i], sel_stack(types[i]));
}
Bar Chart:
const Chart = dc.barChart('#sessions_chart');
Chart.width(968)
.height(240)
.elasticY(true)
.margins({
left: 40,
top: 10,
right: 20,
bottom: 40
})
.gap(5)
.centerBar(true)
.round(d3.timeDay.round)
.alwaysUseRounding(true)
.xUnits(d3.timeDays)
.brushOn(false)
.renderHorizontalGridLines(true)
.renderVerticalGridLines(false)
.dimension(Dimension)
.title(d => {
return (
'Date: ' +
new Date(d.key).toDateString() +
'\n' +
'Sessions: ' +
Object.keys(d.value.types)
);
});
Chart.legend(
dc
.legend()
.x(40)
.y(465)
.gap(10)
.horizontal(true)
.autoItemWidth(true)
);
Chart.render();
Complete code can be found on JSFiddle
Thanks in advance
[SOLVED]
The issue was the double xUnits, and the wrong use of d3.TimeDay instead of d3.TimeDays.
Related
What is the right way to filter multi line chart using a time series chart as filter?
I need a time series chart for my focus chart that it is shown the image below. Whenever I brush on time series chart my focus chart needs to be filtered with respect to time series chart.
The time series chart needs to contain only X axis and time as its dimension and it should be interactive with focus chart with respect to time.
var totalNumber = null;
// ------ main chart function -------
function makeCompetitiveGraphs(error, keywords_data) {
errorHandle(error);
cleanedData = getCompositeChartData(keywords_data);
console.log("===", cleanedData);
minDate = moment.min(cleanedData.timeStamp);
maxDate = moment.max(cleanedData.timeStamp);
margins = { top: 27, right: 27, bottom: 36, left: 54 };
// create composite chart.
var composite = dc.compositeChart('#competitiveChart');
// create cross filter
var cf = crossfilter(cleanedData.keywordData);
// create dimensions.
var keywordDateDimension = cf.dimension(function (dp) { return dp.date;
});
var Group = keywordDateDimension.group();
// compose for key words
composeCharts = composeKeywords(dc, composite, keywordDateDimension);
// create chart.
composite
.width(width())
.height(height())
.transitionDuration(1000)
.x(d3.time.scale().domain([minDate, maxDate]))
.ordering(function (d) { return d.value; })
.elasticY(true)
.elasticX(true)
.margins(margins)
.legend(
dc.legend()
.x(1100)
.y(10)
.itemHeight(16)
.gap(8)
.horizontal(false)
)
.renderHorizontalGridLines(true)
.brushOn(false);
// compose the chart array.
composite.compose(composeCharts);
// render the chart
composite.render();
function getCompositeChartData(keywords) {
let momentTimeStamps = [];
let totalKeywordPerDay = [];
let allKeywords = [];
// clean data for d3js chart's
keywords.forEach((kob) => {
kob.sd.forEach((ob) => {
allKeywords.push({
name: kob.kn,
total: ob.value.total__,
date: new Date(moment(ob._id.mention_created_date_, "MMM-DD-YYYY-hh")._d),
});
momentTimeStamps.push(moment(moment(ob._id.mention_created_date_, "MMM-DD-
YYYY-hh")._d));
totalKeywordPerDay.push(ob.value.total__);
});
});
console.log("--------", allKeywords)
// apply date filter.
allKeywords = limiteDataToDateFilter(allKeywords);
return { "keywordData": allKeywords, "timeStamp": momentTimeStamps,
"totalKeywordPerDay": totalKeywordPerDay };
}
function limiteDataToDateFilter(allKeywords) {
cleanedDateWithDates = [];
allKeywords.forEach(element => {
if (moment(element.date).isAfter(moment().date(1).month(6)) &&
moment(element.date).isBefore(moment().date(30).month(8))) {
cleanedDateWithDates.push(element);
}
});
return cleanedDateWithDates;
}
function getReduce(keyword, keywordDateDimension) {
return keywordDateDimension.group().reduceSum(function (dp) {
return dp.name === keyword ? dp.total : 0;
});
}
function composeKeywords(dc, composite, keywordDateDimension) {
composeChartsData = []
keywordsParams.forEach(keyword => {
keyword.chart = dc.lineChart(composite)
.dimension(keywordDateDimension)
.colors(keyword.color)
.group(getReduce(keyword.word, keywordDateDimension), keyword.word)
.interpolate('basis')
composeChartsData.push(keyword.chart);
});
return composeChartsData;
}
I am new to using crossfilter, dc.js, and d3.js. I am struggling to get the filters to apply to my composite line chart. I've gone through several tutorials, but apparently am missing something as the charts don't change or look different at all if I remove the dimension with the filter applied.
Here is an example of my data:
var data = array(
{
price:{value: 38}
shipment:{start_date: "2017-12-06", end_date: "2018-01-15"}
side:"sell"
},
{
price:{value: 44}
shipment:{start_date: "2017-10-08", end_date: "2018-01-15"}
side:"sell"
},
{
price:{value: 38}
shipment:{start_date: "2017-11-15", end_date: "2018-01-15"}
side:"buy"
},
{
price:{value: 38}
shipment:{start_date: "2017-10-25", end_date: "2018-01-15"}
side:"buy"
}
);
And here is where I declare my dimensions:
` var crossFilteredData = crossfilter(data);
// Dimension by start_date
var dateDimension = crossFilteredData.dimension(function(d) {
var date = Date.parse(d.shipment.start_date);
return date;
});
// Dimension by side
var sideDimension = crossFilteredData.dimension(function(d) {
console.log(d.side);
return d.side;
});
sideDimension.filter("buy");
sideDimension.top(Infinity);`
After declaring my dimensions and applying a filter to the sideDimension, I am building my group and calculating a date's max price and min price for each day:
var performanceByDateGroup = dateDimension.group().reduce(
function (p, v) {
++p.count;
p.sum += v.price.value;
// Calculate Min
if (p.minPrice > v.price.value) {
p.minPrice = v.price.value;
}
// Calculate Max
if (p.maxPrice < v.price.value) {
p.maxPrice = v.price.value;
}
return p;
},
function (p, v) {
--p.count;
p.sum -= v.price.value;
return p;
},
function () {
return {
count: 0,
sum: 0,
minPrice: 1000,
maxPrice: 0
};
}
);
Lastly, I put the dimension and groups into the composite line chart:
priceChart
.width(960)
.height(400)
.margins({top: 10, right: 10, bottom: 40, left: 10})
.transitionDuration(500)
.elasticY(true)
.renderHorizontalGridLines(true)
.yAxisLabel('Price')
.shareTitle(false)
.x(d3.time.scale().domain([Date.parse("2017-11-01"), Date.parse("2018-03-31")]))
.xAxisLabel('Shipment Start Date')
.legend(dc.legend().x(40).y(0).itemHeight(16).gap(4))
.compose([
dc.lineChart(priceChart)
.dimension(dateDimension)
.group(performanceByDateGroup, 'Min Price')
.colors('red')
.renderTitle(true)
.title(function(d) {
return 'Min: $' + d.value.minPrice.toFixed(2);
})
.valueAccessor(function (d) {
return d.value.minPrice;
}),
dc.lineChart(priceChart)
.dimension(dateDimension)
.group(performanceByDateGroup, 'Max Price')
.colors('green')
.renderTitle(true)
.title(function(d) {
return 'Max: $' + d.value.maxPrice.toFixed(2);
})
.valueAccessor(function (d) {
return d.value.maxPrice;
})
])
.brushOn(false);
dc.renderAll();
The chart shows all the plotted points, as if the entire sideDimension variable is not being recognized at all. If I remove the sideDimension variable and filter, the chart looks the exact same.
I greatly appreciate any help or suggestions you can offer.
It's difficult, but not impossible to calculate min and max values using a crossfilter reduction.
When crossfilter is evaluating a group, it will first add all the records and then remove the records that don't match the filters. This is so that the result is consistent whether or not the filters existed when the dimension was created. (For example, you want zeros for values that exist but are filtered out.)
In this case, you are not doing anything with minPrice and maxPrice inside of your reduceRemove function:
function (p, v) {
--p.count;
p.sum -= v.price.value;
return p;
},
So as we observe, the records are added but never removed.
However, the situation is worse than this, because min and max are more complicated aggregations than sums and averages. Think about it: you can remember the min and max, but when those are removed, what value do you fall back on?
reductio has handy functions for doing min and max, or if you want to do it yourself, this example shows how.
I've been trying to create a dc.js rowchart showing stats per day, my dimension and group are
var dayNameFormat = d3.time.format("%A");
var weekDayFormat = d3.time.format('%w'); //weekday as a decimal number [0(Sunday),6].
var dayOfWeek = ndx.dimension(function(d) {
return weekDayFormat(d.date) + '.' + dayNameFormat(d.date);
});
var dayOfWeekGroup = dayOfWeek.group().reduce(
function(p, d) {
++p.count;
p.totalPoints += +d.points_per_date;
p.averagePoints = (p.totalPoints / p.count);
if (d.student_name in p.studentNames) {
p.studentNames[d.student_name] += 1
} else {
p.studentNames[d.student_name] = 1;
p.studentCount++;
}
return p;
},
function(p, d) {
--p.count;
p.totalPoints -= +d.points_per_date;
p.averagePoints = (p.totalPoints / p.count);
if (p.studentNames[d.student_name] === 0) {
delete p.studentNames[d.student_name];
p.studentCount--;
}
return p;
},
function() {
return {
count: 0,
totalPoints: 0,
averagePoints: 0,
studentNames: {},
studentCount: 0
};
});
and chart
dayOfWeekChart
.width(250)
.height(180)
.margins({
top: 20,
left: 20,
right: 10,
bottom: 20
})
.dimension(dayOfWeek)
.group(dayOfWeekGroup)
.valueAccessor(function(d) {
return d.value.totalPoints
})
.renderLabel(true)
.label(function(d) {
return d.key.split('.')[1] + '(' + d.value.totalPoints + ' points)';
})
.renderTitle(true)
.title(function(d) {
return d.key.split('.')[1];
})
.elasticX(true);
I expected the results to match those of my database query
The total values are correct, but the days have been offset by a day (Sunday has Monday's total)
My fiddle https://jsfiddle.net/santoshsewlal/txrLw9Lc/
I've been doing my head in trying to get this right, any help will be great.
Thanks
It appears to be a UTC date/time problem. Dealing with data from multiple time zones is always confusing!
All of your timestamps are very near to the next day - they are all timestamped at 22:00. So it depends on the timezone which day they should be interpreted as. I guess you might be in the eastern hemisphere, which adds a couple of hours to these timestamps when you read them in your spreadsheet?
You're chopping off the time with substr:
d.date = dateFormat.parse(d.activity_date.substr(0, 10));
I'd suggest trying to parse the whole time instead:
var dateFormat = d3.time.format('%Y-%m-%dT%H:%M:%S.%LZ');
data.forEach(function(d, i) {
d.index = i;
d.date = dateFormat.parse(d.activity_date);
However, I'm no expert in timezones so I can't promise anything. Just pointing out where the problem likely lies.
I'm trying find out a method or a way by which i can move handson tables scroll bar to specific row and column.
I tried using
selectCell (row: Number, col: Number, rows: Number, cols: Number, scrollToSelection: Boolean (Optional)) but it doesn't seems to work
here is the Fiddle link for it http://jsfiddle.net/hpfvc9bx/
$(document).ready(function () {
function createBigData() {
var rows = []
, i
, j;
for (i = 0; i < 1000; i++) {
var row = [];
for (j = 0; j < 6; j++) {
row.push(Handsontable.helper.spreadsheetColumnLabel(j) + (i + 1));
}
rows.push(row);
}
return rows;
}
var maxed = false
, resizeTimeout
, availableWidth
, availableHeight
, $window = $(window)
, $example1 = $('#example1');
var calculateSize = function () {
if(maxed) {
var offset = $example1.offset();
availableWidth = $window.width() - offset.left + $window.scrollLeft();
availableHeight = $window.height() - offset.top + $window.scrollTop();
$example1.width(availableWidth).height(availableHeight);
}
};
$window.on('resize', calculateSize);
var table = $example1.handsontable({
data: createBigData(),
colWidths: [55, 80, 80, 80, 80, 80, 80], //can also be a number or a function
rowHeaders: true,
colHeaders: true,
fixedColumnsLeft: 2,
fixedRowsTop: 2,
minSpareRows: 1,
stretchH: 'all',
contextMenu: true,
afterChange : function(changes){
console.log(changes);
}
});
$('.maximize').on('click', function () {
maxed = !maxed;
if(maxed) {
calculateSize();
}
else {
$example1.width(400).height(200);
}
$example1.handsontable('render');
});
$("#setSelectedRow").on('click',function(){
console.log(table);
table.select(9,3,12,6,true); // not working as it doesnt move scroll bar to specified column and range
})
function bindDumpButton() {
$('body').on('click', 'button[name=dump]', function () {
var dump = $(this).data('dump');
var $container = $(dump);
console.log('data of ' + dump, $container.handsontable('getData'));
});
}
bindDumpButton();
});
Can anyone please help me on this...
Thanks In advance...
You can move to specific cell using "selectCell" of handsontable.
You have use table.select(...) in $("#setSelectedRow").on('click',function(){....
It won't work as you are using table DOM element but you need to have "instance" of handsontable. That can be done as,
First Way:
var tblInstance = $example1.handsontable('getInstance');
And then apply "selectCell()" as
tblInstance.selectCell(rowNum, colNum);
Second Way:
Use $example1.handsontable("selectCell", rowNum, colNum);
Please refer to fiddle for the second way, in which :
$("#setSelectedRow").on('click',function(){
console.log(table);
$example1.handsontable("selectCell", 9, 5); // select 9th row's 5th column
})
Hope this will help you :)
I am using google API to create charts. I am able to create OHLC(Candlestick) charts. But I want to add an overlay of Moving Average to it. Can anyone please guide me as to how I can do it?
Thanks in advance.
Here's an example of how to add a moving average line to a CandlestickChart:
function drawChart() {
var data = new google.visualization.DataTable();
data.addColumn('date', 'Date');
data.addColumn('number', 'Low');
data.addColumn('number', 'Open');
data.addColumn('number', 'Close');
data.addColumn('number', 'High');
var low, open, close = 45, high;
for (var i = 0; i < 30; i++) {
open = close;
close += ~~(Math.random() * 10) * Math.pow(-1, ~~(Math.random() * 2));
high = Math.max(open, close) + ~~(Math.random() * 10);
low = Math.min(open, close) - ~~(Math.random() * 10);
data.addRow([new Date(2014, 0, i + 1), low, open, close, high]);
}
// use a DataView to calculate an x-day moving average
var days = 5;
var view = new google.visualization.DataView(data);
view.setColumns([0, 1, 2, 3, 4, {
type: 'number',
label: days + '-day Moving Average',
calc: function (dt, row) {
// calculate average of closing value for last x days,
// if we are x or more days into the data set
if (row >= days - 1) {
var total = 0;
for (var i = 0; i < days; i++) {
total += dt.getValue(row - i, 3);
}
var avg = total / days;
return {v: avg, f: avg.toFixed(2)};
}
else {
// return null for < x days
return null;
}
}
}]);
var chart = new google.visualization.ComboChart(document.querySelector('#chart_div'));
chart.draw(view, {
height: 400,
width: 600,
chartArea: {
left: '7%',
width: '70%'
},
series: {
0: {
type: 'candlesticks'
},
1: {
type: 'line'
}
}
});
}
google.load("visualization", "1", {packages:["corechart"], callback: drawChart});
see it working here: http://jsfiddle.net/asgallant/74u6ox8b/