Our history of data visualization highlights scientific discoveries that would not have occurred without a graph. In the 1780s, one man — William Playfair — invented bar charts, line graphs, and pie ...

Data-based social science was born. By the middle of the 19th century, “moral statistics” were booming and scientists were using data visualization to quash epidemics.

Historical Data Visualization To facilitate understanding the history of global capitalism in its broad societal context, this tool provides historical data on broad economic, social and political ...

Data visualization makes these subtle observations easier to detect. By taking a huge amount of data, more than any one person could possibly absorb, and organizing it in a way that is image-based, ...

The future of data visualization is increasingly intertwined with AI-powered automation, enabling systems to detect patterns, generate real-time reports, and automatically suggest key insights.

The first commandment of data visualization is to define or identify the purpose—i.e., what to visualize or show. Purpose comes from knowing your stakeholders and their objectives.

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret.