Data Visualization: Top 20 Amazing Tools | DATA SCIENCE REPORT - TODAY!
It’s often said that data is the new world currency, and the web is the exchange bureau through which it’s traded. As consumers, we’re positively swimming in data; it’s everywhere from food labels to World Health Organisation reports. As a result, for the designer it’s becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. MR5RZMKG9XBF One of the best ways to get your message across is to use a visualisation to quickly draw attention to the key messages, and by presenting data visually it’s also possible to uncover surprising patterns and observations that wouldn’t be apparent from looking at stats alone. There are many different ways of telling a story, but everything starts with an idea. 01. iCharts The iCharts service provides a hosted solution for creating and presenting compelling charts for inclusion on your website. 02. View the 17 other Top Ranked Data Visualization Tools HERE. Top Page Ranked Blogs on Data Visualization:
20 free data visualisation tools | Infographic
In this article, I want to focus on tips and tools that are free and easily accessible. There are loads of great paid tools out there, and I use many of them. But it is hard to expect someone just getting into this field to pay for expensive software without actually knowing what they are getting into. This article looks to expand the list to even more tools and resources you can use to help you get started creating beautiful data visualisations for the web and print. From data journalism, where you are scrubbing and combining datasets, to ornately designed infographic style posters, you need to understand the tools and your audience to succeed. This article will point you in the right directions to both improve your skills as well as open your eyes to new resources. Cleaning up Anyone who works with data sets will tell you that a big portion of your time is spent cleaning it up into a usable format! Over the years a more and more tools have been created to help ease the pain. Open Refine
The science behind data visualisation | Design
Over the last couple of centuries, data visualisation has developed to the point where it is in everyday use across all walks of life. Many recognise it as an effective tool for both storytelling and analysis, overcoming most language and educational barriers. But why is this? How are abstract shapes and colours often able to communicate large amounts of data more effectively than a table of numbers or paragraphs of text? In order to understand how we are able to interpret data visualisations so effectively, we must start by examining the basics of how we perceive and process information, in particular visual information. System 1 vs System 2 Daniel Kahnemann, in Thinking, Fast and Slow, introduces the terms System 1 and System 2 to differentiate between the information processing that occurs in our sub-conscious and conscious minds respectively. To better understand the differences between System 1 and System 2, consider Figure 1. Why visualisation? How we see Perceiving values Conclusion
Treemaps for space-constrained visualization of hierarchies
Started Dec. 26th, 1998 by Later updates by Ben Shneiderman and Catherine Plaisant - Last update Sept 2014 Our treemap products: Treemap 4.0: General treemap tool (Free demo version, plus licensing information for full package) PhotoMesa: Zoomable image library browser (Free demo version, plus licensing information for full package) Treemap Algorithms and Algorithm Animations (Open source Java code) A History of Treemap Research at the During 1990, in response to the common problem of a filled hard disk, I became obsessed with the idea of producing a compact visualization of directory tree structures. Tree structured node-link diagrams grew too large to be useful, so I explored ways to show a tree in a space-constrained layout. My initial design simply nested the rectangles, but a more comprehensible design used a border to show the nesting. My excitement about treemaps was great and like many innovators I thought millions of users would be using this tool within a few years.
Concept map
Diagram showing relationships among concepts A concept map or conceptual diagram is a diagram that depicts suggested relationships between concepts.[1] Concept maps may be used by instructional designers, engineers, technical writers, and others to organize and structure knowledge. Differences from other visualizations [edit] Novak's work is based on the cognitive theories of David Ausubel, who stressed the importance of prior knowledge in being able to learn (or assimilate) new concepts: "The most important single factor influencing learning is what the learner already knows. Concept maps are used to stimulate the generation of ideas, and are believed to aid creativity.[4] Concept mapping is also sometimes used for brain-storming. Formalized concept maps are used in software design, where a common usage is Unified Modeling Language diagramming amongst similar conventions and development methodologies. Concept maps are widely used in education and business.
The 37 best tools for data visualization
It's often said that data is the new world currency, and the web is the exchange bureau through which it's traded. As consumers, we're positively swimming in data; it's everywhere from labels on food packaging design to World Health Organisation reports. As a result, for the designer it's becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. Get Adobe Creative Cloud One of the best ways to get your message across is to use a visualization to quickly draw attention to the key messages, and by presenting data visually it's also possible to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone. And nowadays, there's plenty of free graphic design software to help you do just that. As author, data journalist and information designer David McCandless said in his TED talk: "By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map.
