Stacked Bar Charts Explained, Vizzies 2017 Winners, Global Temperature Graph, Map of Sea Level Rise | DataViz WeeklyMarch 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.
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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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.
US Military Expenditure Charts, Resource Management Chart, Color in DataViz | Data Visualization WeeklyMarch 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.
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.
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25 Data Visualization Examples for One Dataset, Animated Map of Twitter Reactions During Oscars, and More | DataViz WeeklyMarch 17th, 2017 by AnyChart Team
Without more ado, let’s get to our latest collection of popular and most shared new charts from around the Web.
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.
Don’t fret! We’ve outlined some of the most important factors to consider when choosing a JS library. Here are 10 things you need to be thinking about right now.
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Now the source code of AnyChart, AnyMap, AnyStock and AnyGantt is open. Plugins for all popular JS frameworks are available. And all the new features from the 7.13.0 release work great. That means we can finally get back to you to showcase new data visualizations that people followed most on our Twitter, Facebook and LinkedIn accounts over the last days. Moreover, the current issue of Data Visualization Weekly will cover the last two weeks instead of just one, to reimburse you for the delay. So, let’s take a look at the following great visual pieces now:
- Most Popular Girl Scout Cookies;
- History of Global Living Conditions in Interesting Charts;
- Interactive Map of Popular Surfing Areas in France;
- Most Popular Brands in Each Country;
- PERT Chart of Airplane Design Process;
- Revealing Age of Buildings in New York City.