Archive for the Tips and tricks

Android Charts Made Easy – Meet AnyChart Library for Data Visualization in Android Apps! November 21st, 2017 by AnyChart Team

AnyChart Android Charts library released to ease interactive data visualization in Android appsAndroid app developers can now use AnyChart Java wrapper to run our interactive data visualization solutions in native Android apps! Meet AnyChart Android Charts!

It’s a stunning data visualization library for making interactive HTML5 charts in Android apps, running on API 14+ (Android 4.0). AnyChart supplies dozens of different chart types and seamlessly works with any data from any database.

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How to Create a JavaScript Area Chart October 28th, 2017 by Timothy Loginov

How to Create a JavaScript Area Chart and Customize ItWant to know how to build a JavaScript area chart? This article will show you how to do that and tell you who invented area charts in the late 18th century.

The area chart is one of the basic charts used to show changes in data over time. The key feature of this chart type is a colored area between the horizontal X-axis and the line marking the changing value. It can be filled with a color, gradient color, or with a hatch fill.

Look at the chart on the title image. That’s the data visualization being created along the tutorial. Such a JavaScript-based area chart will be interactive and good-looking in any browser, on any website and in any app in HTML5. All samples used in the article are available in our collection on CodePen.

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Advanced Visualization of Spot in JS Polar Charts | Challenge AnyChart! October 27th, 2017 by Vitaly Radionov

Advanced Visualization of Spot in JS Polar Charts | Challenge AnyChart!Meet Challenge AnyChart, a brand new feature on our blog that every dataviz engineer will fall in love with! Each article in this series will be a quick tutorial on how to complete a specific data visualization task that – at first sight – seems too complicated or even unsolvable with AnyChart JS Charts.

From now on, once in a couple of weeks, we’ll pick a thrilling challenge – one of those you’ve shared with our Support Team. And then we’ll show you the best way to deal with it. So all of you can see: Nothing is impossible in AnyChart!

The first challenge for the very first Challenge AnyChart issue is about making an advanced interactive visualization of the spot in a JavaScript polar chart.

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Creating a JavaScript Bar Chart October 25th, 2017 by Timothy Loginov

How to create a JavaScript bar chart: TutorialHow to create a JavaScript bar chart and why is this important? Every day, data visualization becomes all the more powerful and important area of the Web. The volume of information grows, and it must be made understandable as fast as possible. That’s when data visualization instruments like charts and dashboards become a great help.

Creating HTML5 charts might seem a complicated task, but this assumption is wrong. This article blows this prejudice to pieces and shows how to build an interactive bar chart using JavaScript.

The result will look like on the picture above. Then you’ll also learn how to quickly modify and customize such a JavaScript (HTML5) bar chart. All the JS chart examples used along the tutorial can be found on CodePen.

Read the JS charting tutorial »


Chart for Angular 4, Ionic, Java GWT Apps: Meet New AnyChart JS Charts Integration Samples! September 20th, 2017 by AnyChart Team

Chart for Angular 4, Ionic Framework, Java GWT Apps: Meet New AnyChart JS Charts Integration SamplesWe at AnyChart continue to do our best to help you get interactive JavaScript charts in your HTML5 projects up and running very quickly no matter what technology stack you are into. In addition to the detailed and all-embracing chart documentation as well as the user and data friendly substance inherent in our data visualization solutions, we already created a number of dedicated plugins and integration samples. Using them will save you time and development effort to run AnyChart JS Charts on top of your technology stack.

Here’s another step in this direction. Now we are glad to deliver three new technical integration samples! These are designed for quickly and easily getting any chart for Angular 4, Ionic, and Java GWT apps with the help of advanced AnyChart’s JavaScript charting libraries.

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Top Data Visualization Mistakes to Avoid August 29th, 2017 by Jay Stevenson

Revealing and explaining top data visualization mistakes to avoidData visualization is a fast and simple way to convey messages and concepts in an efficient manner. Besides improving the information relay, this approach has also changed the way business is done. Organizations that deal with large amounts of information on a daily basis can now process data and have the intended audience decipher it at lightning-fast speeds, thus enhancing the process of information management. However, data visualization mistakes are quite widespread, and let’s take a look what they are, why they are harmful, and how to avoid them.

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Choose Right Chart Type for Data Visualization. Part 7: Geovisualization with Maps (Geo-Related Data) May 24th, 2017 by AnyChart Team

Chart types for geovisualization, data visualization in mapsGeovisualization and map-based analysis of geo-data sets related to given territories or spatial environments can provide significant insight into trends and assist greatly in exploring and associating the impacts of variables. Nowadays, maps are used for data visualization very frequently, both as standalone geovisualizations and part of complex dashboards.

In this new article within the framework of our Choose Right Chart Type for Data Visualization series, we’ll write about map charts and explain how (when) to properly use each of corresponding types.

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Choose Right Chart Type for Data Visualization. Part 6: Resource/Project Management May 17th, 2017 by AnyChart Team

Chart types for project management and resource based data visualizationAchieving and maintaining effective Project Management is one of the most important challenges for every company. And high-quality visualization of resource usage and activity processes is a great tool for significantly improving the overall performance at the end. Keeping that in mind, the we simply could not omit the information on how to properly represent project and resource data.

Read this article to learn what (specific) chart types you can choose to use in such cases.

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Choose Right Chart Type for Data Visualization. Part 5: Single-Value Data (Indicators) May 10th, 2017 by AnyChart Team

Chart types for single-value data visualization (indicators)In the previous articles from the Choose Chart Type for Data Visualization series, we covered the ways to visually represent information for data comparison, composition and distribution analysis, and observing trends over time. The current post sheds light on a situation when you only have Single-Value Data that can serve as Indicators of the current performance. In this quite widespread case, plotting each value on a separate chart often makes sense. And that is where Gauges and Bullet charts enter the scene.

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Choose Right Chart Type for Data Visualization. Part 4: Data Distribution May 4th, 2017 by AnyChart Team

Chart types for data distribution visualizationDisplaying and researching some Data Distribution and relationship between data sets instead of studying precise values in each category is a quite common task in data analysis. It can be solved with the help of the chart types that we are going to identify and explain in this article.

Depending on a situation – what kind of data you have and what specific questions you’d like it to provide answers to – you can pick one approach or another. Just be careful when choosing between one chart type and another for the subsequent data distribution analysis. You want the visualization to clarify data, not obscure it or deliver any sort of confusion. Well, simply make sure you understand the following aspects, mind all the details of your situation, and you will have no problem with visualizing data distribution correctly.

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