Archive for the JavaScript

How to Create Stacked Area Chart with JavaScript

June 10th, 2020 by Anastasia Zoumpliou

JS stacked area chart and percent stacked area JS chart visualizing key COVID-19 data for Italy over timeStacked area charts, a variation of classic area charts, are quite a popular form of data visualization. They work great to graphically represent how multiple variables and their totals are changing over time. In this tutorial, I will show you how to easily create an interactive JavaScript stacked area chart which will look compelling in any HTML5 project, web site or app.

To demonstrate this way, which is quite simple to master even if you only have basic HTML coding skills, I am going to visualize official data about the outbreak of the COVID-19 pandemic in Italy. The visualizations built along the tutorial will display how the numbers of cases, recoveries, and deaths have been changing — from January 31, when the first two cases were confirmed, to yesterday, June 9, when the total number of coronavirus cases in Italy reached 235,561.

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Building JavaScript Scatter Plot Module

May 27th, 2020 by Wayde Herman

Tutorial title image of a JavaScript Scatter Plot module (scatter chart)Scatter plots are a great way to visualize data. Data is represented as points on a Cartesian plane where the x and y coordinate of each point represents a variable. These charts let you investigate the relationship between two variables, detect outliers in the data set as well as detect trends. They are one of the most commonly used data visualization techniques and are a must have for your data visualization arsenal!

In this tutorial, I will teach you how to build your very own interactive scatter plot charts using JavaScript.

Ever wondered whether the population of the United States of America were dog people? Well, you’re about to find out! To help you learn more about building scatter plots I will be using the Cat vs Dog Popularity in US dataset. This dataset contains the percentage of homes with dogs and cats for each US state.

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JavaScript Charting Library 8.8.0 Released with New Exciting Data Viz Features

May 22nd, 2020 by AnyChart Team

AnyChart JavaScript Charting Library 8.8.0 release bringing new exciting data viz featuresWe’ve just updated our JavaScript charting library with new exciting features and improvements! In the 8.8.0 release of AnyChart JS, the focus is put on enhancements for Gantt charts. They will be helpful in making your project and resource data visualizations even more insightful with ease. We’ve also upgraded basic and time-series charts as well as maps. Below is an overview of the new key arrivals. Be sure to check it out, download the updated builds, and enjoy!

»»» See What’s New in AnyChart 8.8.0! «««

StopCorona Creator Shares How They Visualize COVID-19 Data Using AnyChart

May 21st, 2020 by AnyChart Team

StopCorona Creator Shares How They Visualize COVID-19 Data Using AnyChartEarlier, we introduced you to a new, ever-updating COVID tracker that uses AnyChart to visualize the latest pandemic data in insightful charts, StopCorona.info. To let you know more, we also talked to Vadim Peskov, CEO at Diffco, the app development company behind StopCorona, and asked him a few questions.

Read our quick interview to learn more about StopCorona and their experience using our JavaScript charting library for interactive data visualization. (Stack: MySQL/Symfony/Angular.)

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COVID Tracker StopCorona.info Adds AnyChart JS Charts to Visualize Coronavirus Statistics

May 18th, 2020 by AnyChart Team

COVID Tracker StopCorona.info Adds AnyChart JS Charts to Visualize Coronavirus StatisticsCOVID tracker StopCorona.info is using our JavaScript data visualization library to display up-to-date coronavirus statistics in compelling and insightful charts. (Read our interview with its creator to learn how.)

COVID-19 is a global emergency and the fight against it requires a joint effort. We at AnyChart cannot stay aside, too. With a lot of pandemic data out there, from numerous sources and with constant updates, it’s difficult to keep up with how the situation unfolds, let alone making sense of all relevant information in due course. But this is exactly where we can help, with our established charting solutions that can visualize any data on the fly.

We thought you should know we’re ready to give a full-featured non-profit license to all initiatives aiming to tackle the novel coronavirus outbreak. Moreover, we’ve already allowed one project – StopCorona.info – to use our JavaScript charting library for free.

Developed as a not-for-profit initiative by Diffco, a top Silicon Valley app development company, StopCorona is designed to bring transparency to the pandemic situation worldwide. To achieve that, it collects COVID-19 statistics from more than 20 reliable public open data sources, including WHO, CDC, ECDC, CCDC, and NHC to name a few. Now this enormous (and ever-expanding) set of coronavirus data is graphically represented in an analyst-friendly interface powered by AnyChart JS Charts.

As a global leader of data visualization and reporting tools, we at AnyChart were more than happy to support StopCorona by letting them use our award-winning JS charting library absolutely free, under a full-featured non-profit license.

If you guys are building a useful resource for COVID-19 data analytics, try AnyChart and apply for a free license, too. We will gladly provide you with complimentary access to our flexible data visualization solutions. In this way you will get the industry’s best charts for the web or mobile fully at your service, empowering your website visitors or app users to make sense of the myriad COVID numbers at a glance, with great ease.

Read more about StopCorona »

Creating Choropleth Map Data Visualization Using JavaScript, on COVID-19 Stats

May 6th, 2020 by Anastasia Zoumpliou

Creating a choropleth map data visualization using JavaScript (JS HTML5)These days you see choropleth maps in a variety of webpages and utilized for various subjects. Have you wondered how such data visualizations are built? Are you interested in making them by yourself? If so, stay with me through this JS charting tutorial, where I will show you how to create an interactive JavaScript choropleth map from scratch but with ease.

Basic knowledge of HTML5 and JS is always helpful, but even if you are a beginner in this field, understand these four simple steps and you will be able to quickly get a good-looking cross-platform interactive choropleth map data visualization for your app or website!

What exactly are choropleth maps? When you break down the word, you see that choro- (“choros”) means “area” and pleth- (“plethos”) means “multitude.” Exactly, these maps are used to visualize statistical data related to multiple geographic areas. Each area is colored or shaded differently according to the value of the given data, making it easy to grasp how a measurement varies across a territory.

For this JS mapping tutorial, I will use open COVID-19 data to show the distribution of confirmed cases and deaths around the world by country. I will start with a basic choropleth map that will graphically represent the confirmed cases. Then I will add a legend, customize the tooltip, and add bubbles to visualize the number of deaths.

Let’s get started!

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Mills College Uses AnyChart JS Charts for Student Success Data Visualization

April 29th, 2020 by AnyChart Team

Mills College Uses AnyChart JS Charts for Student Success Data VisualizationMyriads of enterprise-level software developers rely on our award-winning JavaScript data visualization library to build comprehensive reporting and analytics applications. However, AnyChart is also widely chosen to operate basic charts. One example of such a use case is a visualization of student success metrics at Mills College, a famous American higher education institution attended at different times by filmmaker Sofia Coppola, musician Dave Brubeck, and Congresswoman Barbara Lee among other great people.

We interviewed Angelique Felgentreff from Mills College to get you first-hand information about their experience using charts powered by AnyChart. (Stack: OmniUpdate OU Campus/PHP.)

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Creating JavaScript Column and Bar Charts on COVID-19 Data

April 6th, 2020 by Jay Stevenson

Laptop with a JavaScript chart visualizing the latest COVID-19 data illustrating a tutorial on how to create JavaScript column and bar chartsNeed compelling JS charts for your website or app? Start with the basics! Complete this quick data visualization tutorial and you’ll learn how to easily create JavaScript column and bar charts that will look great in any HTML5-based project, allowing for easy comparisons.

Chart examples to be built and demonstrated in this tutorial will be visualizing the latest novel coronavirus cases data from JHU CSSE as COVID-19 is the most topical issue nowadays.

Keep reading and you’ll see JS charting is actually very simple. Especially if you have at least a very basic understanding of programming (more than that is awesome but far from necessary).

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Making JS Candlestick Chart in Four Simple Steps

March 25th, 2020 by Anastasia Zoumpliou

A JS Candlestick Chart on the screen of a laptopDo you have trading data, looking for a way to effectively visualize it for your website or app project? If so, a JS candlestick chart could be your best pick. This tutorial will break down the process needed to create such a chart into simple steps and provide a detailed explanation of the code. Keep reading even if you are new to programming, because only a basic understanding is needed to follow along and master such a JavaScript (HTML5) based data visualization technique.

Also called a Japanese candlestick chart, this chart type is one of the most popular forms of financial and stock data visualization. Each candlestick represents information about the open, high, low, and close price of the day. Candlestick charts are widely used in technical analysis of price movement patterns.

Complete this tutorial and you will be able to create a compelling interactive candlestick chart in JavaScript real quick, with ease.

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How to Create JavaScript Bubble Chart — Tutorial for Web Developers

March 3rd, 2020 by Wayde Herman

Making a JS bubble chart is described step by step in this tutorial for web developersHave you ever wanted to create a bubble chart using JavaScript but did not know how? Then this tutorial is for you! Carry on reading to learn more about bubble charts and how we can build them quickly and painlessly.

Bubble charts are an extension of the scatter plot. Most commonly, they display three variables which are expressed as the horizontal distance of the point (x), the vertical distance of the point (y), and the size of the point (z). A bubble chart is a great visualization technique to let users compare data points. When designed well, it can be really eye-catching and engaging.

In this tutorial, I will teach you how to build your very own interactive JS bubble chart and bring it to life through customization. All examples will be available with the full code.

For this “getting started” guide, I have decided to explore the data of the top 30 grossing movies. Let’s look at the amount of money each movie has grossed, the budget, as well as the year of release. A bubble chart is a particularly good choice for the visualization of this dataset as it will allow us to easily compare these three numeric variables in an interesting and beautiful way.

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