8 Dashboard Design Trends for 2017 March 28th, 2017 by AnyChart Team
With the explosion of data in the past few years, the relevance of understanding it better has grown to the highest extent. That is why expertise in interactive charting and dashboard design, as well as in the whole big Data Visualization and Data Science fields in general, has become so important nowadays. In fact, it is usually rather difficult to understand raw data as deeply and quickly as needed. Luckily, neat visual representation of information can be helpful in clarifying even very large amounts of data, discovering and exploring patterns in data, and then making (right) data-driven decisions.
Creating dashboards is a great way of transforming diverse relevant data into informative, insightful visualizations as the basis for further analysis. In order to obtain the highest possible efficiency, they should be insightful, featuring robust usability, and visually (and aesthetically) appealing.
Today we’ll talk about the most notable dashboard design trends. Understanding them is very important to each data professional who wants to further improve their skills by keeping up with the times and adhering to the best practices.
Introducing Chartopedia to Help You Choose the Right Chart Types for Your Data Visualization January 18th, 2017 by AnyChart Team
Choosing the right chart types for data analysis and reporting solutions is always a challenge. In fact, there are so many data visualization options out there that it can be really complicated to determine which one to use in a certain situation. And you cannot afford to make a mistake here, because applying data to an inappropriate type of chart will very likely end up causing confusion and even wrong business decisions.
To help you cope with this issue better (and faster), we have developed an information resource named Chartopedia, and it is a pleasure for us to introduce it to you today.
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JS Charting Without Borders: 21 New Integration Templates for Popular Stacks December 19th, 2016 by AnyChart Team
Making your data visualization life ever easier is what we at AnyChart are boundlessly passionate about. This time we focused on further simplifying the integration of our JS charting solutions into your web development environment.
So, prepare to replan your schedule! From now on, you will spend tangibly less time on charting. And please greet the 21 New Technical Integration Templates that we have just released! They will help you deploy HTML5 graphs, maps, stock charts, dashboards, and Gantt diagrams in your stack as easily (and rapidly!) as never before, no matter what programming languages, frameworks, and databases are used.
You can find the templates right here on our website, in the Technical Integrations section.
The integration templates we’ve added cover the most popular languages, frameworks and libraries, and database programs. Below is the list of the newly available combinations.
Templates for easily integrating AnyChart JS charting libraries into your stack:
Ruby on Rails integration
We hope you agree that this is a tremendous addition to the JS charting integration samples published earlier:
- Clojure, ClojureScript and PostgreSQL,
- iOS, Objective-C and SQLite,
- NodeJS and MongoDB,
- PHP and MySQL,
- PHP, Slim and MySQL.
So, you are welcome to make use of our integration templates and samples for easier data visualization. All of them are released on GitHub under the Apache 2.0 License, rest in the AnyChart Integrations repository, and can be forked and changed in any way.
We are going to keep the collection growing further. Meanwhile, please send us your suggestions on what other particular integration you are interested to learn about first, and – as always! – that one will be prioritized; just contact our Support Team for that and name your stack.
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Web Analytics Dashboard – Made With JS Maps and Charts Powered by AnyChart October 19th, 2016 by AnyChart Team
In today’s world of data, a well-designed web analytics dashboard is a must-have for everyone who is managing a website, a web app, or a number of various web projects. You get tons of statistics about traffic, and you should make them work and help you make right decisions.
How much traffic are you getting? Who are your visitors? Where are they coming from? And maybe even most important – is your marketing strategy working well? It gets much easier and takes significantly less time to answer all these questions when the data is visualized. Here comes an interactive analytics dashboard that allows you to have your data organized, see everything at-a-glance, and pay sufficient attention to all metrics that are important to you.
Look at this:
And now we definitely should take note of some composition and development features of this dashboard.
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AnyChart Open-Sources Powerful, Draw-Anything JS Graphics Library GraphicsJS September 15th, 2016 by AnyChart Team
Of course, data visualization is not the only but just one of multiple fields where the library of GraphicsJS can be helpful and even essential. Generally speaking, this solution can help you produce virtually anything graphical from scratch: static and animated images, cartoons, games, interactive infographics, mind maps, and many other amazing things in HTML5.
Key Features of JS Graphics Library
- Mighty line drawing abilities – Bézier curves, arcs, rectangles, and many other kinds of forms and deformations.
- Powerful text manipulation features – multiline texts, measurement, including width, height, as well as wrap, overflow, indent, spacing, align, etc.
- Virtual DOM for drawing fast and only what is necessary.
- Smart layering system with z-index.
- Transformation engine – embarrassing in-browser transformations are not used.
- Legacy browser support (Internet Explorer 6+).
By the way, making our graphics engine open-source is just the beginning as – we are also pleased to tell you – AnyChart is going to open the source code of our charting libraries soon! We believe that our great developments in the fields of graphics and data visualization should be even more visible and reachable to any programmer from any part of the world, not to mention that we would love to allow the community to contribute.
Please refer to GraphicsJS.org to learn more about GraphicsJS. As always, the demos are available on our Playground (Graphics section). Also, let’s not forget about the Graphics Documentation and Graphics API Reference.
What’s more, the GraphicsJS library and all relevant samples can be freely downloaded and forked on GitHub.
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Investment Portfolio Dashboard by AnyChart Charting Framework March 26th, 2016 by Margaret Skomorokh
We have added a new dashboard to AnyChart Business Dashboard Solutions – a section of our site with sample dashboards demonstrating how AnyChart charting framework can be applied to various visualization tasks in various industries. Investment Portfolio Dashboard is a sample solution for personal portfolio management, based on data from finance.yahoo.com.
Some say that portfolio management is the art and science, which consists of making decisions about investment content combination and policy, matching investments to objectives, asset allocation for individuals and institutions, and balancing risk against performance.
If you want to be perfectly accurate, investment management is the professional asset management of various securities (shares, bonds, and other securities) and other assets (e.g., real estate) in order to meet specified investment goals for the benefit of the investors. Investors may be institutions (insurance companies, pension funds, corporations, charities, educational establishments, etc.) or private investors (both directly via investment contracts and more commonly via collective investment schemes e.g. mutual funds or exchange-traded funds).
Or, in plain English, managing investment porfolio is creating a collection of assets that can diminish the risk inherent in stock markets by diversification or avoiding having too many eggs in one basket.
Whatever the case is, any porfolio management must include the following steps: choosing investment horizon and goals, building portfolio, and performance monitoring. Each of the steps needs a dashboard of its’ own, so there are three tabs in our dashboard: Goals, Portfolio, and Performance.
The Goals tab provides a user with a way to mix the portfolio and a way to see the prognosis for it, so there are two charts: a Donut chart and a combination of a Line chart and a Range Area chart. The Portfolio tab shows the mix of the instruments and all basic information about them (here you see the same Donut chart and a table). Finally, in the Performance tab you will find a Stock chart demonrtrating the performance of our investment porfolio.
Using AnyChart, we have created a user-friendly and fast-rendering visualization. To learn how it was done, you can see a detailed tutorial: Creating Investment Portfolio Dashboard. Our dashboard is minimalistic, but it can be easily extended, and it does not matter how much additional information you need to show: our charting framework is flexible enough to cope with any task.
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Below you will find the samples that are currently available. Please note that all of them are repositories on GitHub, distributed under an Apache 2.0 License, and you can fork and change them as you like. Do not hesitate to pull requests or raise issues if you want to suggest an improvement or think that there is a bug in the code. We are going to expand this list and improve the samples, but if right now you are interested in a particular integration not listed here, please contact us.
|Simple PHP Integration Sample
|PHP Integration Sample, Based on Slim
|iOS Objective-C Integration Sample
|Clojure and ClojureScript Integration Sample
Clojure is a dialect of the Lisp programming language, which is a very popular choice for creating server/backend applications. ClojureScript and the Postgresql database together make an excellent combination of tools, suitable for the most wide range of applications including data visualization solutions of any kind. Today there is rarely just one or two charts in an application – usually you see a dashboard with many interrelated elements. In this sample you will find a sales dashboard with such common chart types as Line, Bar, and Pie, and you will be surprised to realize how well AnyChart’s ideology fit the principles of Closure: simple modules will allow you to quickly get all the things that users expect to see on an up-to-date HTML5 website.
|NodeJs and MongoDB Integration Sample
AnyChart charting library is a number one choice for anyone who is going into the world of data visualization and wants to excel in the fast-evolving world of BI solutions. When we develop our charts, one of our aims is providing users with the best result in any browser, but we also do our best to make the process of creating and supporting applications easier for developers.
PS: If you are already convinced and none of the standard licenses fits your needs, our sales team is dying to hear from you and work out the best deal ever. You will be amazed to discover how fair our Support, OEM, and SaaS contracts are.
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AnyChart and Java Standard Widget Toolkit (SWT) September 15th, 2015 by Timothy Loginov
The Standard Widget Toolkit (SWT) is a graphical widget toolkit for use with the Java platform. It was originally developed by Stephen Northover at IBM and is now maintained by the Eclipse Foundation in tandem with the Eclipse IDE. It is an alternative to the Abstract Window Toolkit (AWT) and Swing Java GUI toolkits provided by Oracle as part of the Java Platform.
We have created a basic sample to show how you can work with AnyChart in an SWT application.
Contents and Launching
The sample file (click to download) contains the ‘src’ folder with the source code and the ‘jar’ file. You can run the file using the java -jar <jar_file_name> command.
In Mac OS X you can launch the sample like this:
java -XstartOnFirstThread -jar anychart-java-example.jar
In Windows you can do that like this:
java -jar anychart-java-example.jar
This sample shows a basic chart with five points. It listens for the chart draw and point hover events, and logs them into the textArea on the page; anychart.min.js is loaded from AnyChart CDN.
The ‘Add Random Point’ button keeps adding random points until the total point count is 20 and after then removes one point before adding a new one.
Source code is rather simple and self-descriptive, and there are only two things you should look at:
The static String myScript variable defines what script is executed when button is clicked;
The static String createHTML() method generates HTML and puts it into the browser window.
AnyChart and Java Standard Widget Toolkit (SWT) Sample: anychart-java-swt-example.zip
AnyChart Download: http://anychart.com/download/
AnyChart Documentation: http://docs.anychart.com/
AnyChart API: http://api.anychart.com/
Later we will extend the sample, add more features, and show how to achieve more with AnyChart in Java environment. We also have a number of other samples coming up.
Saving AnyChart 6 Charts as Images in Oracle APEX September 2nd, 2015 by Timothy Loginov
NOTE: This article tells how to set up the script in Oracle APEX and doesn’t affect AnyChart customers who use AnyChart outside of Oracle APEX.
Oracle Application Express is a web-based application development tool integrated with all editions of Oracle Database. It enables users with limited programming skills to easily develop secure web applications that run inside their Oracle Database, and scale to support tens, hundreds, or thousands of users.
Since Oracle Application Express Release 3.0, AnyChart is used as a charting engine (you can read about this in a success story: Oracle Chooses AnyChart Solution for Latest Release of Oracle® Application Express).
One of the nice features available in AnyChart since version 4.1.0 is the ability to save a Flash chart as an image – in order to make it possible, we have to use a server-side script, which is hosted on the AnyChart.Com site by default (read more about saving charts as images in AnyChart 6).
Federico Bonifazi from Geko Sistemi Informativi s.r.l. shared a solution that allows to save charts as images on the server side. We are very thankful for that and present it here for anyone who wants to do the same. This tutorial is very basic and is not a ready-to-go solution, but it gives the general idea, so you can use it to break ground on your project.
This configuration in based on Oracle Standard Edition on a Linux server, Oracle Rest and Tomcat are used.
Data visualization is a rapidly growing Internet industry rooted almost in any aspect of our life. As far as visualization is one of the most effective ways of presenting information, every presentation and every information dashboard requires visual information. Moreover, a well-designed dashboard makes any web page look even better, be it a personal blog or website of a big company.
This article highlights the basics of using AnyChart in WordPress – one of the most popular content management systems. You can easily add a dashboard or a chart in your post, making it more appealing and helping your storytelling.
Adding AnyChart to a WordPress Post
Note: A chart container may be of any size. However, if there are no style settings for the container and it has zero height and zero width, the chart will be added, but it will not be seen. So do not forget to set container size.
You can open your WordPress blog right now, copy paste the code below and try it yourself:
<!-- Step 1: link AnyChart from AnyChart CDN -->
<!-- Step 2: Create chart container -->
<div id="container" style="width:700px;height:600px;"></div>
<!-- Step 3: Write a script to create a chart -->
var chart = anychart.pie([ // create an instance of a pie chart with data
["Crêpe Suzette", 2],
["American blueberry", 2],
chart.title('Top 5 pancake fillings');
chart.container('container'); //chart container id
chart.draw(); // initiate chart display
That’s basically all you need to to! Could it be easier? Now the page is ready to be published, but do not forget to preview it and make sure that everything looks fine and there are no mistakes in the data.
The <script> tag with data should not contain any empty lines! If there are any, WordPress will replace them with the <p> tag, and the data may be corrupted. Read below to learn how to avoid this.
Disabling Smart Insert
The way of integrating AnyChart from the sample above is quite convenient. But in most cases we may need a little bit more. Just dividing data into paragraphs may help in seeing what is right and what is not, and simple comments are very desirable in some cases. It doesn’t take much to achieve it: WordPress provides you with a number of plugins allowing to disable smart insert (which messes with your code in the first place). You can use, for example, the “Raw HTML” plugin or any other – it doesn’t matter which one you choose. After activating your plugin, wrap the script in the tags specified by the plugin developers (you will need the [raw]…[/raw] tag in case you choose the “Raw HTML” plugin). Then you are free to use any number of empty lines you want and insert comments and notes. It will make no difference in terms of visualization, but it may be of a great help in adjusting and debugging the chart.
Referencing the Script in the Head of a Page
AnyChart.js can be referenced in any part of a page, but we recommend to add the link to the head tag of your blog if you are going to use charts regularly. There are quite a few plugins (like this one) for inserting scripts into the head section, and in some themes you may need to work with wp_head.
You can download the component at http://anychart.com/download/