Archive for the AnyChart charting component

Flippity Uses AnyChart in Word Cloud Visualization Tool October 26th, 2020 by AnyChart Team

Flippity, a set of free web tools to create flashcards, games, indicators, and more, uses AnyChart in the new, Word Cloud data visualization tool
While thousands of companies choose AnyChart to operate interactive data visualization in commercial projects, we are especially proud our charting solutions have been put for good use in education. Here’s a great new case, for example.

Have you heard about Flippity? It is a fascinating free web project providing teachers (and students) with an extremely straightforward way to turn Google Sheets’ spreadsheets into something cool and useful in the education process — flashcards, quizzes, games, timelines, leaderboards, random name pickers, progress indicators, and many other online things. Earlier this year, Flippity added a dedicated tool to create a Word Cloud from a Google spreadsheet, and we are excited it is powered by our JavaScript charting library!

To learn and tell you more about Flippity and their experience using AnyChart JS for data visualization, we had a quick talk with Steve Fortna, a school teacher from Massachusetts and the creator of Flippity. Check out the interview! (Stack: HTML/Google Sheets.)

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New JavaScript Chart Features in AnyChart 8.9.0 September 29th, 2020 by AnyChart Team

New JavaScript Chart Features in AnyChart 8.9.0AnyChart 8.9.0 is out! The latest major update brings new exciting out-of-the-box features to our award-winning JavaScript charting library product family — AnyChart, AnyStock, AnyGantt, and AnyMap. Enjoy the improved functionality and build even more compelling data visualizations for your web sites and apps in less time!

»»» See What’s New in AnyChart 8.9.0! «««

How to Build Box Plot Using JavaScript: Visualizing World Happiness September 22nd, 2020 by Wayde Herman

A box plot visualizing world happiness report data, the cover image for a guide on how to build interactive box plots with JavaScript HTML5Data visualization is an important and sometimes undervalued tool in a data scientist’s toolkit. It allows us to gain an understanding and intuition about the data, through exploratory data analysis, which influences preprocessing, feature engineering, and the correct machine learning algorithm choice. It also helps to better evaluate models and even allows you to spot areas in the data where models could have poor performance.

Taking data visualization one step further by adding interactivity is even more advantageous. By adding interactive elements to your visualizations you create a more engaging experience. This in turn makes a user ‘explore’ visualizations instead of just reading them!

In this tutorial, I will be covering how to build an interactive data visualization, specifically a box plot as an example, using JavaScript and a charting library. I will begin by first briefly covering the basics of box plots before going through the steps of building one and then finally using the technique in a fun example to investigate the distribution of happiness between the different regions of the planet in an attempt to answer the question: ‘Where should you live to be happier?’.

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Meet September 2020 Releases of AnyChart and AnyGantt Extensions for Qlik September 16th, 2020 by AnyChart Team

Meet September 2020 Releases of AnyChart and AnyGantt Extensions for QlikWe’ve just updated the AnyChart and AnyGantt extensions for Qlik Sense to further facilitate the path to enhanced data-driven insights for you! Keep reading to learn about the new amazing Waterfall Chart and Gantt Chart features delivered in the 4.3.249 releases. Then check out the latest versions to see them all in action!

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Connecting a MySQL Database to a JS Chart Using PHP August 4th, 2020 by Wayde Herman

Connecting MySQL Database to JS Chart Using PHPWhen using a charting library like AnyChart, which makes visualizing data so quick and easy, often the most challenging step for beginners is loading data. I think this is largely a result of the fact that while the ways we output the data are quite similar, the input data is commonly very different. The data may differ in many ways including the number of features in the dataset, what type these features may be, the format of the data, and how the data is stored. It is this final issue which we will be addressing today.

There is a lot of coverage in the documentation of using a data object declared within the code as well as importing your data from a file using AnyChart’s data loader. But what about importing the data from an SQL database? This is an easily done but often misunderstood approach to handling and loading data for data visualizations.

Unfortunately, it is not possible to use JavaScript to query a database because JavaScript is a client side solution and querying a database requires a server side approach due to security concerns — you just can’t store database login and password in your JavaScript code. There are many workarounds for this problem including approaches involving PHP, Ajax, Node.js, and many more. Today we will focus on using PHP to handle this task for us when our data is stored in MySQL.

In this tutorial, we will be covering how to query a MySQL database using PHP. We will describe the steps involved and reveal that it is in fact not challenging at all, just different!

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How to Create JavaScript Network Graph July 22nd, 2020 by Wayde Herman

How to create a Network Graph using JavaScript HTML5 for the webNetwork graphs are a special, very interesting form of data visualization. Unlike more traditional chart types like bar graphs or pie charts, a network graph does a bit more than visualize numerical data. With these charts, you represent each object as a point, referred to as a node, and the connections between the objects as a line, referred to as either a link or an edge. Here, we do not focus on representing objects with the same precision we are typically used to. Instead, we are trying to discover relationships in a network or sections of a network and are less worried about individual nodes.

Right now, I will guide you through how to develop an interactive network graph for the web using JavaScript (HTML5). Inspired by one fun visualization created by Ben Sullins, I decided to take data about the last decade’s biggest TV series, Game of Thrones. It is an epic fantasy tale revolving around the quabbles of various faction-like houses. So in this tutorial, I will be visualizing the relationships in the world of Game of Thrones by showing who attacked whom. Follow me, it’s going to be a cool adventure!

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Qlik Sense Visualization Extensions AnyChart, AnyStock and AnyGantt Updated with New Features July 16th, 2020 by AnyChart Team

Qlik Sense Visualization Extensions AnyChart, AnyStock and AnyGantt Updated with New FeaturesA number of new powerful capabilities are now available in our extensions for Qlik Sense! The new features are designed to help speed up data analysis in the native Qlik environment, making it even more intuitive and workflows streamlined.

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Building a JavaScript Radar Chart July 7th, 2020 by Wayde Herman

Tutorial explaining how to create and code an interactive Radar Chart in JavaScript HTML5Radar charts, which are also referred to as spider charts or radar plots, are a data visualization used to compare observations with multiple quantitative variables. Each variable is encoded to a spoke which are equidistant apart. The higher the value, the further away from the center of the chart the point is made. Radar charts are best used to compare the ‘profile’ of observations and to detect outliers within the data. They are therefore used quite a bit in sports, most notably in basketball and soccer for profiling players.

In this tutorial I will be teaching you how to build your own radar chart with JavaScript and how to use them to help with one of the toughest decisions in gaming history: which starting pokemon to choose!

That’s right, we will be building radar charts to perform data analysis on Bulbasaur, Charmander and Squirtle to determine, once and for all, which is the best choice.

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Visualizing COVID-19 Pandemic Data for Austria Using AnyChart JS Charts June 25th, 2020 by AnyChart Team

Visualizing COVID-19 Pandemic Data for Austria Using AnyChart JS ChartsThe COVID-19 pandemic persists as a global emergency, and we continue to support initiatives that contribute to tackling the coronavirus crisis. Specifically, we allow COVID-19 analytics projects to use our data visualization tools for free under a non-profit license.

You already know about StopCorona, a COVID tracker by Diffco, which is one such resource. Today, we want to meet you with another noteworthy project using AnyChart to visualize the pandemic statistics — iConcepts SARS-CoV-2 Stats. Created by Austrian part-time web developer Juergen Hoefer and featured on the official Open Data Austria portal, it shows the COVID-19 statistics for Austria (and worldwide) from different perspectives, in countless interactive charts powered by our JavaScript (HTML5) charting library.

We asked Juergen a few questions to learn more about this project and his experience visualizing COVID-19 pandemic data with the help of AnyChart. Read the answers and take a glance at several quick chart examples from his website. (Stack: HTML/CSV.)

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New Helpful Features in AnyGantt Project Management Bundle for Qlik Sense June 16th, 2020 by AnyChart Team

New Helpful Features in AnyGantt Project Management Bundle for Qlik SenseJust added, two new helpful features for our project management bundle for Qlik Sense! Enjoy a more precise control over the visualization of your data and make better decisions!

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