Android Charts Made Easy – Meet AnyChart Library for Data Visualization in Android Apps! November 21st, 2017 by AnyChart Team
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.
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.
- No Comments »
Advanced Visualization of Spot in JS Polar Charts | Challenge AnyChart! October 27th, 2017 by Vitaly Radionov
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!
- No Comments »
- No Comments »
Chart for Angular 4, Ionic, Java GWT Apps: Meet New AnyChart JS Charts Integration Samples! September 20th, 2017 by AnyChart Team
Top Data Visualization Mistakes to Avoid August 29th, 2017 by Jay Stevenson
Data 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.
- Categories: Business Intelligence, Charts and Art, Choosing Chart Type, Dashboards, Tips and tricks
- No Comments »
Choose Right Chart Type for Data Visualization. Part 7: Geovisualization with Maps (Geo-Related Data) May 24th, 2017 by AnyChart Team
Geovisualization 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.
Choose Right Chart Type for Data Visualization. Part 6: Resource/Project Management May 17th, 2017 by AnyChart Team
Achieving 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.
Choose Right Chart Type for Data Visualization. Part 5: Single-Value Data (Indicators) May 10th, 2017 by AnyChart Team
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.
Choose Right Chart Type for Data Visualization. Part 4: Data Distribution May 4th, 2017 by AnyChart Team
Displaying 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.