List propertyTypesSerieData = new ArrayList() PropertyTypesSet.data(propertyTypeSeriesData) Log.d(prettyFormatter.format(period.get(i)), values.toString() + " size: " + String.valueOf(values.size())) PropertyTypeSeriesData.add(new AreaChartDataEntry(prettyFormatter.format(period.get(i)), values)) List propertyTypeSeriesData = new ArrayList() įor (int i=0 i values = new ArrayList() The chart ().stackMode(ScaleStackMode.VALUE) const chartCanvas = document.getElementById( 'chart-canva').getContext( '2d') The canvas reference to display the chart. The chart instance, which is needed to initiate a new type of chart.The chart label, which is the title or name of the chart.The chart data, the vertical labels of the chart.The chart labels, the horizontal labels of the chart.The canvas reference to display the chart.Welcome to the JavaScript part, there are a couple of things that are common and important when working with any chart in chart.js, this includes The canvas id will be used later to make reference to the canvas element in the JavaScript part. Specify where you what to display the chart in your HTML document, also note that it is very important to wrap the canvas tag inside of a container, as the canvas tag needs the parent container to make the chart responsive, we will address this issue later in this guide. You can get the latest version of chart.js from here. Import chart.js cdn in your HTML document. The html tag is used to draw graphics on a web page using JavaScript, now you understand why there are two parts to cover when working with chart.js.ġ. This part involves importing the chart.js cdn link into your html document and setting up a html tag. I will break this section down into two parts The HTML part and The JavaScript part. In this section, I will lay out how chart.js works and explain the minimum things you need to set up a chart with the chart.js library. In this tutorial, we will be making use of the cdnjs method to add chart.js to our project, you can always try out other methods on your own using this guide. You can install Chart.js through npm, yarn, or any other package manager installer for your Node, React, Vue, Angular, or any other supporting frameworks.Īnother way of adding chart.js to a project is through the Content Delivery Network, which means all the built files of chart.js can be accessed directly from the cdnjs or jsDelivr.Ĭhart.js is an open source project, which means you can download the latest version of chart.js directly from GitHub here, but this method requires you to fork, clone, build and test the chart.js before getting it to work on your machine, this method is way too tedious. Through Package Manager (Highly recommended) There are three major ways of adding chart.js to your project:ġ. You can check out the demo of what we will be building together in this article here.Ĭhart.js is an open source JavaScript library that is used for data visualization that supports up to eight different charts including the bar chart, line chart, area chart, pie chart, bubble chart, radar chart, polar chart, and scatter chart.įor this tutorial, we will be focusing on the bar chart, line chart, and pie chart, and at the end of this article, you will learn how to implement these three charts. In this tutorial article, we'll learn how to make use of chart.js to create a visual representation of data in JavaScript. Whether it's financial data, page view analytics, or statistics of items, which are mostly found on the dashboard. One of the most important features that a developer should be able to implement on a web application is a diagrammatic representation of data, which allows users to have a clear visual of data on a website.
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