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The main goal of **data visualization** is its ability to _visualize_ data, communicating information clearly and effectivelty. It doesn't mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. Yet designers often tend to discard the balance between design and function, creating gorgeous data visualizations which fail to serve its main purpose — communicate information.
Data visualizations and infographics can make complex datasets easier to understand and comprehend. By creating a graphical represenatation of data and statistics, complicated concepts and information can make more sense in less time. Many visualizations focus on representing a specific set of data or statistical information. Others focus on less-concrete topics, providing a visual representation of abstract concepts.
Data infographics are powerful tools for visualizing complex information effectively. Discover how to create impactful infographics for your projects.
Infographics
Infographics and data animation after effects tutorials designed by Issara Willenskomer. Connect with them on Dribbble; the global community for designers and creative professionals.
The first time I saw my boss, Nate Silver, give a talk was at the 2014 MIT Sloan Sports Analytics Conference in Boston. As usual, he was going on about numbers …
In my previous blog “How DevOps Drives Analytics Operationalization and Monetization”, I discussed the critical and complementary role of DevOps to operationalize and monetize the analytics that came out of the Data Science development process. While the combination of Design Thinking and Data Science accelerate the creation of more effective, more predictive analytic modules (where… Read More »What is DataOps and Why It’s Critical to the Data Monetization Value Chain
First Happy New Year and I hope you all had a chance to read my first posting on “The Importance of Data Governance and Which Data Governance/Organizational Model is Correct for Your Business.” As the prior posting is important, as you would first need to understand the different data governance models before you can truly […]
The Data Science Process is a relatively new framework for doing data science. It is compared to previous similar frameworks, and a discussion on process innovation versus repetition is then undertaken.
OpenNews Fellow Brian Abelson breaks down metrics research conducted at the NYT
A review of how the visual brain works and how this knowledge can help you create more persuasive and effective data visualizations.
Statistical tools for data analysis and visualization
Infographic design
A collection of four interactive visualizations that let the user explore and discover Intangible Cultural Heritage, created for UNESCO
FlowingData
This chart shows time spend eating and drinking each day in hours/minutes.
Dylan Halpern is raising funds for Wall of War: a massive data visualization art installation on Kickstarter! A visualization of conflict in the Iraq + Afghanistan wars from 2004-10 printed at 10x85 feet. Coming soon to Richmond, VA. Back now!
Professional athletes know the importance of developing opposing or complementary muscles (quadriceps and hamstrings, biceps and triceps). These complementary muscles are sets of muscles that “work together” to move your body in the most efficient ways. If these muscles are strengthened together, it creates a balance that can lead to optimal performance. However, if these… Read More »Optimizing Your Company Right Out of Business
In this video, I will be giving a high-level overview on how to build a machine learning model. I use this cartoon infographic that I've drawn to illustrate ...
