Many organizations today are taking steps to become data driven by utilizing models, analytics, data visualizations, and dashboards as an integral part of decision making. This is happening in many ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be quite ...

We talked with Lima to find out his thoughts on the connection between data visualization and architecture. The following conversation explores his inspirations and process, as well as his views on ...

Artificial Intelligence (AI) and Data Visualization can seem like an unlikely marriage. AI techniques often work as a black box: we cannot know how the AI has reached its conclusion. This can raise ...

Data Points is a new series where we explore the world of data visualization, information graphics, and cartography. Complex ideas begin as simple drawings. And data-visualization—the use of visual ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

These days we have a ton of geospatial data coming off the increasing numbers of satellites circling in our atmosphere, but it takes some serious processing power and engineering prowess to turn that ...