![]() ![]() ![]() var series įirstSeries = lumn(firstSeriesData) Now it’s time to create the three series with the respectively mapped data. Just in case, here’s how the entire JS code within the tag currently looks: anychart.onDocumentReady(function () ) Create the Series Lastly, I set the container element - here’s where its ID is needed - and make the resulting column chart visualization appear. Let’s set these: // add axis titlesĬhart.title("Top 10 Run Scorers at ICC Men's T20 World Cup 2022") It is always a good practice to add titles to the axes and chart itself to make it obvious what is represented. Then I create a JS column chart instance using the inbuilt function and add a series with the prepared data. The following JS code to create a column chart. Everything else will go into this function. The first thing that I do is add the anychart.onDocumentReady() function inside my tag in the section. Let me show you how to get it up and running by writing a few lines of JavaScript code. ![]() The ground is set, the players are ready, the toss is done, and now it is time for the match to begin! Creating a column chart with a JS charting library is like hitting a sixer in cricket - less effort and more reward. (Of course, you may use a different data format like JSON, XML, CSV, and so on.) [ I collected the total runs statistics for the ICC Men’s T20 World Cup’s top 10 scorers from ESPNcricinfo and collated them in a simple JavaScript multidimensional array. Next, prepare the data you want to visualize in a column chart. Put your JS column charting code here. It is a lightweight JS charting library with detailed documentation and many examples, free for non-commercial purposes. In this tutorial, to illustrate the process, I will be using one called An圜hart. Then add another tag anywhere in the or section - it’s where the column charting code will be placed. Whichever you opt for, include it in your web page by referencing its JavaScript file(s) in the tag in the section. The steps for creating a column chart are basically the same regardless of the specific library. They are sets of pre-written charting code, which makes it possible to build data visualizations with minimal additional coding efforts. The easiest way to quickly create an interactive chart for the web is to use one of the existing JavaScript charting libraries. Width: 100% height: 100% margin: 0 padding: 0 I have created a very basic HTML page, added a element with the “container” id, and specified its width and height as 100% so that the resulting JS-based column chart fills the whole page: Also, set its width, height, and other styling parameters to suit your requirements. Then add a block-level HTML element and give it an ID. If you already have a web page where you want to put it, open your HTML file, and if not, create one from scratch. Let me show you what is to be done in each of these steps along with explaining every line of code that I will write.įirst of all, you need to set up a place for your chart. ![]() Let’s have fun learning!Ī basic JavaScript column chart can be built very easily in just four steps. JavaScript column charts built throughout this tutorial will let us look into the batting statistics, and more precisely, the number of runs scored by the top 10 batsmen at the tournament. I decided to use some data related to the championship for illustrative visualizations. From this tutorial, you will learn to make its different variations - basic single-series, multi-series, stacked, and 100% stacked column graphs - and apply effective customizations in a few more lines of JS code.Īs a cricket fan, I thoroughly watched the ICC Men’s T20 World Cup held last month in Australia. One of the most common data visualization techniques is column charts, and I want to show you how you can easily create interactive ones using JavaScript.Ī column chart is a simple, yet powerful way to display data when you need to compare values. With data everywhere around, we should know how to graphically represent it to better (and faster) understand what it tells us. ![]()
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