Visualization hardware resources: Under the hood, Big Data visualization is essentially a computing task, and the ability to carry out this task quickly – to enable organizations to make decisions in a timely manner using real-time data – may require powerful computer hardware, fast storage systems, or even a move to cloud.
We’ve created this useful infographic (below) to explain exactly how AnyImage works. Enjoy! This is a fantastic use of an infographic as How-To explanation for a company's product or service! Most products have at least a small learning curve, and a clear infographic design can help get your customers over that initial hurdle using your service.
Data Fluency: Empowering Your Organization with Effective Data Communication, by Zach and Chris Gemignani, is the latest addition to the FlowingData book series. You can order it now. This is not a book on information dashboards. It’s not really a book about visualization (although it’s certainly part of the story).
The book introduces the basics of designing presentation graphics with R by showing 100 full script examples: bar and column charts, population pyramids, Lorenz curves, scatter plots, time series representations, radial polygons, Gantt charts, profile charts, heatmaps, bumpcharts, mosaic and balloon plots, a number of different types of ...
Andy Kirk is a freelance data visualization design consultant, training provider, and editor of the popular data visualization blog, visualisingdata.com. After graduating from Lancaster University with a B.Sc. (Hons) degree in Operational Research, he spent over a decade at a number of the UK's largest organizations in a variety of business analysis and information management roles.
Effective data visualizations enable the user to discover unexpected patterns and invite a different perspective of the data. During the first few iterations of looking at the data, we used visualization tools (Tableau and ggplot2 package for R) to quickly identify patterns and decide on a direction.
Hi there. I’m David McCandless, creator of this site and author of two infographic mega-tomes, Information is Beautiful (2009) and Knowledge is Beautiful (2014). I’ve created a lot of data and information visualizations. Around 540 over six years. (An eye-bleeding, marriage-crumpling average of 1.7 per week).
To make the tedious task of making beautiful charts and maps easier, I’ve made the list of best data visualization tools available for the job. I’ve divided the list into two parts; first covers the tools that require coding and are meant for developers, while the second list contains data visualization software products that don’t require any coding.
R is an open source language for data analysis and graphics. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better. This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R.
Data Storytelling vs. Data Visualization Contrary to popular belief, data storytelling is not simply data visualization, analytics reporting, or a handful of stats sitting in a PowerPoint somewhere. Data storytelling is the blending of two worlds: hard data and human communication.
Comprising dozens of examples that address different industries and departments (healthcare, transportation, finance, human resources, marketing, customer service, sports, etc.) and different platforms (print, desktop, tablet, smartphone, and conference room display) The Big Book of Dashboards is the only book that matches great dashboards with real-world business scenarios.
Data, data, data. Piles and gobs of it are amassing everywhere faster than ever before. And with this grand swelling of information has come a sudden rise in the need for a discipline over two centuries old: Data visualization, the craft of communicating patterns and trends in raw data by transforming it into visual displays.
The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration.
Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics. In the new millennium, data visualization has become an active area of research, teaching and development.
JULIE RODRIGUEZ is an Information Architect with experience in user research, analysis, and design for complex systems. She has patented her work in commodities trading and data visualizations for MATLAB, and publishes industry articles on user experience and data analysis and visualization.