The Google Big Picture Group has a number of eye-catching big data visualizations based on on-going research projects at the search engine giant. One project, Music Timeline as shown below, shows how ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

Instead of telling people about a story/data/information, show them. Humans are inherently programmed to respond to the visual and our brains process images 60,000 times faster than text. Images seen ...

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Kylin is an avid user of Android products and has been writing on Android hardware and software for over 5 years. He enjoys helping others learn new things that can help them get the most out of their ...

Time may seem scarcer than ever, but fortunately technological advancements have presented auditors with many tools to improve the effectiveness and efficiency of audits. One such tool is data ...

Embedding analytics in applications is a smart way to expose insights and decision-making capabilities directly in employee workflow and customer-facing apps. Today, many organizations are developing ...

Now more than ever, visuals are used to relay facts and figures in business, politics and socioeconomics. Data visualizations, such as graphs, charts and tables, are commonplace in presentations. When ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.