I’ll try to keep this short. I have a CSV with traffic counts for specific streets. So far I have plotted the street names on the (x) axis, and the total traffic count on the (y) axis. The CSV also contains counts for vehicles that travel for (< 15 min, 15-30 min, 30-45 min, 60 min, etc).
What I am trying to do is “split” the total count for each street in accordance with the (< 15, 15-30, etc) minute counts, kind of like categories. Essentially, I am trying to replicate this example:
http://dimplejs.org/examples_viewer.html?id=bars_vertical_grouped_stacked where the “Owner” category is instead the “Arterial” category from my dataset.
In short:
1. I can semi-successfully split some of the street names, however, some don’t seem to be split at all even though counts exist for the categories.
The tooltip is not showing category-specific counts. It seems to be shoving all of the counts into one tooltip regardless of hovering over a category.
For the legend, is there a way to ensure that it uses the street names? If I remove the “Commute” values and leave “Arterial” it uses the names correctly, but then I lose the ability to show the categories.
I hope this isn’t too confusing. I’d sincerely appreciate any help.
CODE:
var svg = dimple.newSvg("#chartContainer", 1280, 720);
d3.csv("../HTML/strippedData_v2.csv", function (data) {
var myChart = new dimple.chart(svg, data);
myChart.setBounds(60, 45, 510, 315)
myChart.addCategoryAxis("x", ["Arterial"]);
myChart.addMeasureAxis("y", "Total");
myChart.addSeries(["Arterial", "Commute15", "Commute1530", "Commute3045", "Commute4560", "Commute60"], dimple.plot.bar);
myChart.addLegend(200, 10, 380, 20, "right");
myChart.draw();
});
IMAGES: (Don't have enough rep :/)
(Only the first 3 images of the gallery apply.)
http://imgur.com/a/8P2tN#0
I'm struggling to work out exactly how you would like the chart to look. I suspect the problem may be the CommuteXX fields. It sounds like you are trying to treat them as dimension values, whereas dimple treats columns as dimensions (and their row values as dimension values). Therefore you need to reorganise your data something like this:
Arterial |Commute |Population
Colfax Avenue |Commute15 |1380
Colfax Avenue |Commute1530 |1641
Colfax Avenue |Commute3045 |855
Etc...
This can be done in Javascript once the CSV is loaded. Here is a function to do that:
function unPivot(sourceData, valueFields, newCategoryField, newValueField) {
var returnData = [],
newRow,
key,
i,
j;
for (i = 0; i < sourceData.length; i += 1) {
for (j = 0; j < valueFields.length; j += 1) {
newRow = {}
for (key in sourceData[i]) {
if (sourceData[i].hasOwnProperty(key) && valueFields.indexOf(key === -1)) {
newRow[key] = sourceData[i][key];
}
}
newRow[newCategoryField] = valueFields[j];
newRow[newValueField] = sourceData[i][valueFields[j]];
returnData.push(newRow);
}
}
return returnData;
};
And here it is in a fiddle: http://jsfiddle.net/GeLng/15/
I'm not sure if this is the chart you are looking for, you mention a grouped bar but I'm not sure what you want to group by. Hopefully this will give you enough to create the chart the way you want.
Related
I've got a system that generates and automatically maintains lots of spreadsheets on a Drive account.
Whenever I add data to the sheet I run a 'format' method to pass over and make sure everything is ok.
This generally does things like:
set the default font and size across the sheet
set up the heading row
freeze rows
In addition, I have the code below to make sure the first two columns (index 0 and 1) in the sheet are autoresizing to fit their contents. when I run it though, this element doesn't seem to make a difference. The font, column freezes etc all work.
Other notes:
I only want those 2 columns to auto-resize
the amount of rows in a sheet can vary
this job is appended to the end of several in requestList
My code:
requestList.Requests.Add(new Google.Apis.Sheets.v4.Data.Request()
{
AutoResizeDimensions = new AutoResizeDimensionsRequest()
{
Dimensions = new DimensionRange()
{
SheetId = Convert.ToInt32(sheetId),
Dimension = "COLUMNS",
StartIndex = 0,
EndIndex = 1
}
}
});
var updateRequest = sheetService.Spreadsheets.BatchUpdate(requestList, spreadSheetId);
var updateResponse = updateRequest.Execute();
Could the order which I request the 'format' changes be affecting things maybe? Can anyone help?
As written in the documentation,
the start index is inclusive and the end index is exclusive.
So, For the first two columns, it should be
startIndex = 0,
endIndex = 2
I am creating a dashboard in DC.js. One of the visualizations is a survival curve showing the percentage of survival on the y-axis and the time in weeks on the x-axis
Each record in the dataset contains a deathAfter column called recidiefNa. This shows the number of weeks after death occurred, and shows -99 for survival.
See sketches for example dataset and desired chart form:
I created this code to create the dimensions and groups and draw the desired chart.
var recDim = cf1.dimension(dc.pluck('recidiefNa'));//sets dimension
var recGroup = recDim.group().reduceCount();
var resDim = cf1.dimension(dc.pluck('residuNa'));
var resGroup = resDim.group().reduceCount();
var scChart = dc.compositeChart("#scStepChart");
scChart
.width(600)
.height(400)
.x(d3.scale.linear().domain([0,52]))
.y(d3.scale.linear().domain([0,100]))
.clipPadding(10)
.brushOn(false)
.xAxisLabel("tijd in weken")
.yAxisLabel("percentage vrij van residu/recidief")
.compose([
dc.lineChart(scChart)
.dimension(recDim)
.group(recGroup)
.interpolate("step-after")
.renderDataPoints(true)
.renderTitle(true)
.keyAccessor(function(d){return d.key;})
.valueAccessor(function(d){return (d.value/cf1.groupAll().reduceCount().value()*100);}),
dc.lineChart(scChart)
.dimension(resDim)
.group(resGroup)
.interpolate("step-after")
.renderDataPoints(true)
.colors(['orange'])
.renderTitle(true)
.keyAccessor(function(d){return d.key;})
.valueAccessor(function(d){return (d.value/cf1.groupAll().reduceCount().value()*100 );})
])
.xAxis().ticks(4);
scChart.render();
This gives the following result:
As you can see my first problem is that I need the line to extend until the y-axis showing x=0weeks and y=100% as the first datapoint.
So that's question number one: is there a way to get that line to look more like my sketch(starting on the y-axis at 100%?
My second and bigger problem is that it is showing the inverse of the percentage I need (eg. 38 instead of 62). This is because of the way the data is structured (which is somehting i rather not change)
First I tried changing the valueaccessor to 100-*calculated number. Which is obviously the normal way to solve this issue. However my result was this:
As you can see now the survival curve is a positive incline which is never possible in a survival curve. This is my second question. Any ideas how to fix this?
Ah, it wasn't clear from the particular example that each data point should be based on the last, but your comment makes that clear. It sounds like what you are looking for is a kind of cumulative sum - in your case, a cumulative subtraction.
There is an entry in the FAQ for this.
Adapting that code to your use case:
function accumulate_subtract_from_100_group(source_group) {
return {
all:function () {
var cumulate = 100;
return source_group.all().map(function(d) {
cumulate -= d.value;
return {key:d.key, value:cumulate};
});
}
};
}
Use it like this:
var decayRecGroup = accumulate_subtract_from_100_group(recGroup)
// ...
dc.lineChart(scChart)
// ...
.group(decayRecGroup)
and similarly for the resGroup
While we're at it, we can concatenate the data to the initial point, to answer your first question:
function accumulate_subtract_from_100_and_prepend_start_point_group(source_group) {
return {
all:function () {
var cumulate = 100;
return [{key: 0, value: cumulate}]
.concat(source_group.all().map(function(d) {
cumulate -= d.value;
return {key:d.key, value:cumulate};
}));
}
};
}
(ridiculous function name for exposition only!)
EDIT: here is #Erik's final adapted answer with the percentage conversion built in, and a couple of performance improvements:
function fakeGrouper(source_group) {
var groupAll = cf1.groupAll().reduceCount();
return {
all:function () {
var cumulate = 100;
var total = groupAll.value();
return [{key: 0, value: cumulate}]
.concat(source_group.all().map(function(d) {
if(d.key > 0) {
cumulate -= (d.value/total*100).toFixed(0);
}
return {key:d.key, value:cumulate};
}));
}
};
}
In my app i use ios-charts library (swift alternative of MPAndroidChart).
All i need is to display line chart with dates and values.
Right now i use this function to display chart
func setChart(dataPoints: [String], values: [Double]) {
var dataEntries: [ChartDataEntry] = []
for i in 0..<dataPoints.count {
let dataEntry = ChartDataEntry(value: values[i], xIndex: i)
dataEntries.append(dataEntry)
}
let lineChartDataSet = LineChartDataSet(yVals: dataEntries, label: "Items count")
let lineChartData = LineChartData(xVals: dataPoints, dataSet: lineChartDataSet)
dateChartView.data = lineChartData
}
And this is my data:
xItems = ["27.05", "03.06", "17.07", "19.09", "20.09"] //String
let unitsSold = [25.0, 30.0, 45.0, 60.0, 20.0] //Double
But as you can see - xItems are dates in "dd.mm" format. As they are strings they have same paddings between each other. I want them to be more accurate with real dates. For example 19.09 and 20.09 should be very close. I know that i should match each day with some number in order to accomplish it. But i don't know what to do next - how i can adjust x labels margins?
UPDATE
After small research where i found out that many developers had asked about this feature but nothing happened - for my case i found very interesting alternative to this library in Swift - PNChart. It is easy to use, it solves my problem.
The easiest solution will be to loop through your data and add a ChartDataEntry with a value of 0 and a corresponding label for each missing date.
In response to the question in the comments here is a screenshot from one of my applications where I am filling in date gaps with 0 values:
In my case I wanted the 0 values rather than an averaged line from data point to data point as it clearly indicates there is no data on the days skipped (8/11 for instance).
From #Philipp Jahoda's comments it sounds like you could skip the 0 value entries and just index the data you have to the correct labels.
I modified the MPAndroidChart example program to skip a few data points and this is the result:
As #Philipp Jahoda mentioned in the comments the chart handles missing Entry by just connecting to the next data point. From the code below you can see that I am generating x values (labels) for the entire data set but skipping y values (data points) for index 11 - 29 which is what you want. The only thing remaining would be to handle the x labels as it sounds like you don't want 15, 20, and 25 in my example to show up.
ArrayList<String> xVals = new ArrayList<String>();
for (int i = 0; i < count; i++) {
xVals.add((i) + "");
}
ArrayList<Entry> yVals = new ArrayList<Entry>();
for (int i = 0; i < count; i++) {
if (i > 10 && i < 30) {
continue;
}
float mult = (range + 1);
float val = (float) (Math.random() * mult) + 3;// + (float)
// ((mult *
// 0.1) / 10);
yVals.add(new Entry(val, i));
}
What I did is fully feed the dates for x data even no y data for it, and just not add the data entry for the specific xIndex, then it will not draw the y value for the xIndex to achieve what you want, this is the easiest way since you just write a for loop and continue if you detect no y value there.
I don't suggest use 0 or nan, since if it is a line chart, it will connect the 0 data or bad things will happen for nan. You might want to break the lines, but again ios-charts does not support it yet (I also asked a feature for this), you need to write your own code to break the line, or you can live with connecting the 0 data or just connect to the next valid data.
The down side is it may has performance drop since many xIndex there, but I tried ~1000 and it is acceptable. I already asked for such feature a long time ago, but it took lot of time to think about it.
Here's a function I wrote based on Wingzero's answer (I pass NaNs for the entries in the values array that are empty) :
func populateLineChartView(lineChartView: LineChartView, labels: [String], values: [Float]) {
var dataEntries: [ChartDataEntry] = []
for i in 0..<labels.count {
if !values[i].isNaN {
let dataEntry = ChartDataEntry(value: Double(values[i]), xIndex: i)
dataEntries.append(dataEntry)
}
}
let lineChartDataSet = LineChartDataSet(yVals: dataEntries, label: "Label")
let lineChartData = LineChartData(xVals: labels, dataSet: lineChartDataSet)
lineChartView.data = lineChartData
}
The solution which worked for me is splitting Linedataset into 2 Linedatasets. First would hold yvals till empty space and second after emptyspace.
//create 2 LineDataSets. set1- till empty space set2 after empty space
set1 = new LineDataSet(yVals1, "DataSet 1");
set2= new LineDataSet(yVals2,"DataSet 1");
//load datasets into datasets array
ArrayList<ILineDataSet> dataSets = new ArrayList<ILineDataSet>();
dataSets.add(set1);
dataSets.add(set2);
//create a data object with the datasets
LineData data = new LineData(xVals, dataSets);
// set data
mChart.setData(data);
i have a plotmodel with 2 different lineSeries.
In the first lineSeries can be values between 1000 and 10000.
In the second lineSeries are values between 1 and 10.
So when i plot this I can see the first lineSeries very well, but the second one is just at the bottom.
So I defined two different LinearAxis, one for the right and one for the left side.
m.Axes.Add(new LinearAxis { Position = AxisPosition.Left,Minimum = 0, Maximum = maxPointValue1 });
m.Axes.Add(new LinearAxis { Position = AxisPosition.Right, Minimum = 0, Maximum = maxPointValue2 });
Is it possible to bind the first series to the left LinearAxis and the second to the right Axis?
So that the second series is not at the bottom?
Thanks in advance
Michael
Indeed there is my friend.
On your second axis, this case your right, you need to define a key.
var rightAxis = new OxyPlot.Axes.LinearAxis()
{
Key = "secondary",
Position = AxisPosition.Right,
// And then the rest
}
Now when you include a series, you give that the same key
yourLineSeries.XAxisKey = "secondary";
Now when your series is added, it should use your right axis.
Hope this helps!
I apologise in advance if there is already an answer to this problem; if so please just link it (I have looked, btw! I just didn't find anything relating to my specific example) :)
I have a text (.txt) file which contains data in the form 1.10.100.0.200 where 1, 10, 100, 0 and 200 are numbers storing the map terrain layout of a game. This file has multiple lines of 1.10.100.0.200 where each line represents an item of terrain in the map.
Here is what I would like to know:
How do I find out how many lines there are, so I know how many items of terrain to create when I read the map file?
What is the method I should use to get each of 1, 10, 100, 0 and 200:
E.g. when I am translating the file into a map terrain at runtime I might use the terrainitem1.Location = New Point(x, y) or terrainitem1.Size = New Size(p, q) commands, where x, y, p and q are integers or doubles relating to the terrain's location or size. Where would I then find x, y etc. out of 1, 10, 100, 0 and 200, if say x is equal to 1, y to 10 and so on?
I am sorry if this isn't clear, please just ask me and I'll try to explain.
N.B. I am using VB.NET WinForms
There is no way to know how many lines a file has without opening the file and reading its contents.
You didn't indicate how far you've got on this. Do you know how to open a file?
Here's some basic code to do what you want. (Sorry, this is C# but the idea is the same in VB.)
string line;
using (TextReader reader = File.OpenText(#"C:\filename.txt"))
{
// Read each line from the file (until null returned)
while ((line = myTextReader.ReadLine()) != null)
{
// Get each number in line (as string)
string[] values = line.Split(new[] { '.' }, StringSplitOptions.RemoveEmptyEntries);
// Convert each number to integer
id = int.Parse(values[0]);
height = int.Parse(values[1]);
width = int.Parse(values[2]);
x = int.Parse(values[3]);
y = int.Parse(values[4]);
}
}