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The heroes of today’s tutorial are custom technical indicators. Below we’ll explore how to add them to a JS (HTML5) stock chart step by step. So, let’s begin.
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AnyChart Extension 2.0 for Qlik Sense Released, Fueling Flexibility in Data Visualization November 15th, 2017 by AnyChart Team
When AnyChart JS Charts‘ dedicated extension for Qlik Sense first hit the stage on Qlik Branch in the spring of 2017, it was well received by the community. In fact, we delivered what many Qlik users craved: advanced flexibility which at the same time would not affect the ease of interactive data visualization. And that was just the beginning.
Now, we are happy to present version 2.0 of our extension for Qlik Sense!
Top Big Data Trends for 2017 September 13th, 2017 by Jay Stevenson
Big Data has been growing exponentially as a very special segment in the core of today’s data analytics, with all the more organizations and companies collecting, visualizing, exploring and communicating large amounts of various kinds of data. In this article, we will talk about notable big data trends that we see in and for 2017 and also take a quick look at some technologies being widely used in this field today.
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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.
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How to Name a Graph: Tips for Writing Great Chart Captions April 5th, 2017 by AnyChart Team
Charts are one of the best ways to display your data in a way that’s meaningful to readers, but if you don’t have great chart captions, your readers may interpret that meaningful information incorrectly.
Readers’ attention spans are waning by the second. In fact, humans now have a shorter attention span than goldfish (yes that cute, little fish you won from the carnival can pay attention better than the average person). This means that most people are scanning through your work. Without a clear, concise chart caption, your chances of getting your message across are slim.
We as ‘mere’ humans are not very good at processing raw statistical data visually when it’s delivered to us in an unrefined form. We are, however, very good in detecting complex patterns when data is presented to us in a graph or a chart. It is therefore no wonder that as a developer you often get the requirement to represent data in a more comprehensible form. When you want to visualize data in the SAP Web UI in a more graphical way the standard possibilities available to you are rather limited. Luckily there are ways to overcome these limitations. When you combine SAP with the graphical power of AnyChart JS Charts a whole range of new possibilities will become available to you.
In this blog I will describe how you can integrate AnyChart in the SAP Web UI with relative ease, how you can feed AnyChart objects with SAP data using both a ‘pull’ and a ‘push’ mechanism and how you can respond in the SAP backend to the events triggered from user interaction with an AnyChart object.
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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.