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Data Visualization is the study of the visual representation of big volumes of data. The main goal of data visualization is to communicate information clearly and effectively through graphical means. Learn about big data visualization products and strategies through these articles from the editorial experts at insideBIGDATA

Visualization of the Week: Interactive Map of Hong Kong Through the Lense of Instagram

Our friends over at InData Labs with support of Datasia.hk provides our Visualization of the Week with an interactive map of Hong Kong that visualizes all the Instagram activity of the city. The map is telling a story about life in Hong Kong by showing who posts what and from which locations.

Visualization of the Week: U.S. Data Science Programs

As more and more people seek avenues into data science as a profession, our Visualization of the Week offers a compelling high-level summary of the data science degree programs around the country.

Tangible Effects of Switching to Visual Reporting

In this special guest feature, Agata Kwapien of at datapine, explains the virtues of visual reporting tools and methods as an alternative to legacy processes.

Data Exploration with Databricks

The “Data Exploration on Databricks” jump start video below will show you how go from data source to visualization in a few easy steps. Specifically, you’ll see how to take semi-structured logs, easily extract and transform them, analyze and visualize the data using Spark SQL, so you can quickly understand your data.

Visualization of the Week: Driving Under the Influence Statistics

It’s that time of year when everyone must be more vigilant while taking to the roads. Using Tableau Public, data author Jambesh looks at Driving Under the Influence of alcohol (DUI) trends during the holidays.

Making Big Data More Meaningful through Data Visualization

In this special guest feature, Jans Aasman Ph.D., psychologist and expert in cognitive science as well as CEO of Franz Inc., discusses the use of semantic visual discovery to make big data meaningful.

Book Review: Storytelling with Data

A book just came across my desk, “Storytelling with Data – A Data Visualization Guide for Business Professionals,” by author Cole Nussbaumer Knaflic, that is a handy resource for data scientists of all levels of experience. It is an important job of data scientists to engage in “data storytelling” to communicate the results of their machine learning projects.

Hitachi Data Systems Unveils New Advancements in Predictive Policing to Support Safer, Smarter Societies

Hitachi Data Systems Corporation (HDS), a wholly owned subsidiary of Hitachi, Ltd., announced new enhancements to its Hitachi Visualization solution portfolio: Hitachi Visualization Suite 4.5 now with Hitachi Visualization Predictive Crime Analytics (PCA) and Hitachi Video Management Platform (VMP) 2.0.

How To Work Through “Analysis Paralysis” And Understand The Difference Between Data Analysis And Data Visualization

In this special guest feature, Collin Sebastian, Chief Product Officer at YouEye observes that the more graphs, maps, reports, and dashboards we use to slice and dice our data, the more time we spend analyzing — and the less time we spend actually making decisions. There’s a solution to this paralysis, and it begins with understanding the difference between data analysis and data visualization.​

Broad Data, An Enhanced Variant of Big Data, Drives Favorable Business Outcomes

In this special guest feature, Ron Stein, Director of Product Marketing of Space-Time Insight talks about what data should organizations be looking at, how can they leverage, and how can data analytics help.​