I am trying to learn some chart rendering techniques for front end web development. There is a d3 tutorial where the javascript function can be edited on the website (great for learning purposes) and I am attempting to use my own data instead. In the tutorial website I am attempting to modify the rawgit
//Read the data
d3.csv("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/3_TwoNumOrdered_comma.csv",
with my own rawgit dataset:
//Read the data
d3.csv("https://raw.githubusercontent.com/bbartling/Data/master/City%20Rec%20Center%202%20kW%202019.csv",
One thing to note is my data is hourly and the tutorial data is daily.. So would I need to modify anything with the time parse function?
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
},
I am trying to follow this learn javascript site that talks about timeParse but not having anyluck... Could anyone give me a tip?
Also to mention my dataset the timestamp/index column is Date not date and the data is kW not value... Do I need to modify the tutorial code to accommodate for this as well?
I think I actually figured this out. At least I got the chart to render on the tutorial site... Changing the timeParse function to this:
//Read the data
d3.csv("https://raw.githubusercontent.com/bbartling/Data/master/City%20Rec%20Center%202%20kW%202019.csv",
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%m/%d/%Y %H:%M")(d.Date), value : d.kW }
},
Hello everyone i'm a beginner in highstock
i want to work with this to convert my data to graph
then i find some problem in this example of Lazy Loading
i have much question :
need to change this highstock to my data just use a simple data
like this :
[883612800000,3.41,5.01,3.37,4.58],
[886291200000,4.62,5.97,4.34,5.91],
[888710400000,5.89,7.01,5.40,6.88],
[891388800000,6.87,7.41,6.17,6.85],
[893980800000,6.88,7.91,6.42,6.68],
[896659200000,6.61,7.24,6.39,7.16],
[899251200000,7.22,9.54,7.12,8.67],
[901929600000,8.56,10.92,7.75,7.80],
[904608000000,7.84,10.05,7.65,9.52],
[907200000000,9.19,10.33,7.12,9.28],
[909878400000,9.39,9.85,7.94,7.99],
[912470400000,8.00,10.37,7.90,10.23],
[915148800000,10.53,11.82,9.27,10.29],
[917827200000,10.42,10.48,8.63,8.71]`
then in the same example i want a method how to removed the zoom and the scroll in the bottom
and in last
need to sample exampling about this function
function afterSetExtremes(e) {
var chart = $('#container').highcharts();
chart.showLoading('Loading data from server...');
$.getJSON('http://www.highcharts.com/samples/data/from-sql.php?start=' + Math.round(e.min) +
'&end=' + Math.round(e.max) + '&callback=?', function (data) {
chart.series[0].setData(data);
chart.hideLoading();
});
}
** in the end thanks for all and sorry for my bad english any confused ask in commentaire **
You cannot load form filesystem (security reasons in browsers) so you need to have a webserver. Please check our article how to load data and process
consider this fiddle link FIDDLE. In this example I would like to use a csv file to load data at line no.33-[data.csv] and data at line no.158-[data1.csv]. I want to use two separate csv files. I tried using a csv file for data at line no.33 with this code
d3.csv("data.csv", function(csvData) {
csvData.forEach(function (d,i) {
data[i] = {
first: +d.first,
second: +d.second
}
});
console.log(data);
I was able to get an output but the charts had moved far away from each other with the following errors : Unexpected value NaN parsing cy attribute. How to load the two datasets in an efficient way using two separate csv files ?
Here is hopefully the final plunker in this ever-growing project :) (A lot of the csv work here has been guided by the great Lars...as usual, many kudos to him.)
Updated plunker with data on top chart coming from datam.csv.
I am new to JavaScript and D3 and cannot figure out how to allow users to upload a csv file and displaying a scatterplot using d3. I am using the tag to allow user to select file. But I am not sure on what the next step should be. Is there a way to read the csv file and store it's contents in a d3 array and then displaying a graph using that array ??
Thanks in advance
Look into the d3.csv function (https://github.com/mbostock/d3/wiki/CSV). Here is a simple example
//load up the example.csv file
d3.csv('example.csv',
function(data){
//this is an object, the contents of which should
//match your example.csv input file.
console.log(data);
// do more stuff with 'data' related to
// drawing the scatterplots.
//
//-----------------------
},
function(error, rows) {
console.log(rows);
};
);
There are a number of examples online showing you how to go from a data array to a scatterplot...it's a matter of modifying those examples to fit your specific data format.
I need to extract the data from an excel sheet into csv or json format and then display the content in the form of charts(bar, pie and line) using javascript. I have been working on it since 2 days and not able to find any good source. Any help regarding this would be appreciated. Thank you.
You can also pull data from a google spreadsheet as CSV data like this:
var spreadsheet = "https://docs.google.com/spreadsheet/pub?key=youruniquekeyhere&single=true&gid=2&output=csv"
d3.csv(spreadsheet, function (error, data) {
// use your data here
});
Notice the output=csv at the end of that URL.
gid=0 is worksheet 1, gid=1 is worksheet 2 and so on. You must publish your worksheet to the web first to make it available.
In addition to Christophe Viau's tutorials, here are more resources:
https://github.com/mbostock/d3/wiki/Gallery#basic-charts
http://www.d3noob.org