![]() It is always a good idea to explain what each axis of the line chart represents, even if it seems quite obvious. ![]() Let me show you how to make some changes in the same quick and easy manner. The basic line chart we created by following the four steps above already looks good. Var thirdSeries = chart.line(thirdSeriesData) Ĭhart.title("Big Three's Grand Slam Title Race") Var secondSeries = chart.line(secondSeriesData) Var firstSeries = chart.line(firstSeriesData) Third, create a data set and map it for each series (one for each player): // create a data set So, second, include the data (from the previous step). The main JS line charting code will be here.Įverything else goes inside of that function. So let’s get the match started and do some quick JavaScript coding!įirst, add anychart.onDocumentReady() as shown below: Now, the warm-up session is done, and the court is all set. Then comes the number of titles won by the three players subsequently (cumulative for each). In each array, the year is the first parameter (column #0). If you prefer other formats in your particular case, such as JSON, XML, CSV, or something else, check the ways to work with data. I will add it just like that as an array of arrays. I counted all Grand Slam singles titles won by Federer, Nadal, and Djokovic, by year. Then, add the data you want to visualize in your line chart. The JavaScript code for the line graph will be inserted between and tags located in the section (you may put those in the section if you want). (Of course, you can download it, put it in a folder on your website, and use your own link in that case.) It’s flexible, comes with extensive charting docs and API references, and you can use it for free (unless you are building something for a business.)įor the line chart, I add the “Base” module from the CDN. Many of them support line charts, and you can choose one or another depending on your project requirements.įor illustration purposes, in this tutorial, I am using An圜hart JS Charts. There are a whole lot of different JavaScript charting libraries which let you visualize data in a fast and simple way. Next, include all JavaScript files, which we'll use to create the line chart, in the section. Of course you can set the style settings to your own liking and needs. As a result, the line chart will render all over the web page. The width and height parameters of the element are set as 100%. Width: 100% height: 100% margin: 0 padding: 0 Here’s what such a page might look like: Then create a container for the line chart - add an HTML block-level element and give it a unique ID for further reference. If you don’t have one yet, create a basic web page. To start with, you need a place where you want your chart to appear. Let's go through each of these steps now. Generally speaking, the whole process of creating any chart in JavaScript is broken down into four steps, and a line chart is no exception: And the first serve is already coming! How to Build Line Charts in 4 Steps So, the JS line graphs in this tutorial will visualize the Big Three’s Grand Slam title race. I decided to plot their outstanding rivalry. These are the most prestigious championships. The Big Three - Roger Federer, Rafael Nadal, and Novak Djokovic - have won an astonishing combined 63 (of the past 78) Grand Slam tournaments. The last two decades have been nothing short of spectacular in the world of tennis. We'll look at some cool examples and build them step by step, which will make the process both clear and entertaining.įor your convenience, you can find all of them on CodePen so you could play with the line charting code further without limits. ![]() You can follow along with this tutorial to learn how to quickly create beautiful interactive line (and step-line) charts using JavaScript. It's primarily designed to represent data over time. One of them is a Line Chart (or Line Graph). ![]() Data visualization is a vast field with so many different types of charts to learn and create.īut there are several basic, evergreen graphs that every data designer and web developer dealing with analytics should know how to build. ![]()
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