April 12th, 2017 by AnyChart Team
When it comes to creating data analytics and reporting solutions, choosing the right chart type for a certain data visualization task remains a common challenge. What do you pick for data comparison, studying distribution, observing data over time, or some other purpose? It can be very tricky! To help you overcome this challenge to the best effect, today we are launching a series of articles titled Choose Right Chart Type for Data Visualization. The series is designed to quickly explain what chart types you should pick for different purposes of data analysis. With that said, each article here will be devoted to a specific, yet still big question that you want your data to answer.
The current (first) guide of the series is all about chart types that work best for finding out the differences in data: Data Comparison. In fact, it is one of the most frequently established purposes of data analytics. And sometimes many people use wrong chart types to fulfil it correctly. Now, finally, let’s get to the very point and see what visualization forms work best for comparing data.
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April 7th, 2017 by AnyChart Team
Today’s Data Visualization Weekly issue is fully devoted to interactive maps. To put it precisely, we’ll highlight four of them this time. These maps have been popular on the Web and also most followed on our Facebook and Twitter accounts within the last days. So they’ve completely deserved to be mentioned here.
Here’s what interactive maps we are sharing with you today:
- Lead-Tainted Water Fountains in NYC Schools,
- Surging Seas,
- Asylum Seekers’ Paths, and
- China’s Regions and Counties.
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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.
Fear not! Here are some tips to help you come up with excellent chart captions, titles for graphs and dashboards.
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March 31st, 2017 by AnyChart Team
Today is the 13th Friday of the 2017 year, and another weekend is coming! In the meantime, we invite you to enjoy another portion of last week’s notable works in the data visualization field. The first highlight here is the article about stacked bar charts and how to use them, written by our Data Visualization Expert Vitaly Radionov specifically for Smashing Magazine. After briefing you on that, we’ll also take a look at this year’s winners of the Vizzies Challenge, a graph of global temperature change from 2500 BC to 2040 AD, and a (scary) map visualization of the sea level rise expected in the (near?) future.
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March 30th, 2017 by Sandor van der Neut
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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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.
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March 24th, 2017 by AnyChart Team
In today’s Data Visualization Weekly issue, you’ll find another set of eye-catching dataviz examples shared and discussed on media within the last seven days. The current issue highlights several visualizations of America’s military expenditure, bus schedule as a chart for resource management, and explanation on how to use color in data visualization to the best effect.
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March 20th, 2017 by AnyChart Team
Technical Support Dashboard is a great tool to keep track of all the support and related activities in your company. It can be very helpful in both monitoring your support team’s performance and revealing issue patterns in customer requests for further use by product strategy and development officers. And when you already have data, all you need is to decide how to visualize it, preferably quickly, easily, and fully compatibly with your own corporate software.
Now that the Web has completely adhered to the HTML5 standard, JavaScript charting libraries are the best type of solution for interactive data visualization. They can deliver all necessary dashboarding features and make the whole process of creating a dashboard for your web app pretty straightforward. Of course, you should just choose a right JavaScript charting library first that will entirely comply with your specific data visualization objectives.
But let’s get back to the very gist. Today we are glad to present the Technical Support Dashboard created with the JavaScript charting library of AnyChart. It is our new sample, available under the Apache 2.0 license, and you can feel free to make good use of it in your own business intelligence solutions. In particular, such a dashboard will help you fully control the support and make right data-driven decisions based on your data.
Now let’s take a closer look at this cool (and helpful) interactive JavaScript (HTML5) dashboard.
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March 17th, 2017 by AnyChart Team
25 data visualization examples of how you can present the same dataset, an animated map of Twitter users’ reaction during this year’s Oscars, JavaScript-based self-driving cars, and an interactive Gantt chart sample with customized connectors in the Live Edit mode. These are the masterpieces that we are highlighting in today’s Data Visualization Weekly post.
Without more ado, let’s get to our latest collection of popular and most shared new charts from around the Web.
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March 10th, 2017 by AnyChart Team
Now it’s time to say hello to last week’s most eye-catching data visualizations. As always, choosing just some of the best new and most popular pieces is a difficult task. But we are more than glad to do that for Data Visualization Weekly! And please don’t stop making more and more charts, people! That’s pleasant and greatly inspiring to see so many cool data visualizations emerge every week. Examining them also allows all of us to keep learning from the best practices, expand the vision, and further improve skills and understanding.
Today’s Data Visualization Weekly issue highlights the following four great presentations:
- animated map of shipping in the San Francisco Bay;
- interactive visualization of statistics and probability;
- Voronoi diagram of the global economy;
- “frog” column chart of whatever you need.
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