The growth of smart city applications is increasingly around the world, many cities invest in the development of these systems intending to improve the management and life of their residents. This ...

One common challenge facing business intelligence is quantity. It takes an intimate understanding of the data to see that your visualizations lead to decisions. Without context, the visualizations ...

In the current decade, metal-oxide-based nonvolatile memristive devices have emerged as prominent candidates for numerous potential applications, including next-generation nonvolatile memory, synaptic ...

Python is the most widely used programming language for data science. It’s simple, easy to understand, and clean. GitHub states that over 80% of data science projects used Python last year. It has ...

Unity 3D's Gradient is a handy data type but comes with some limitations: for example you cannot set more than 8 color keys in its editor and RGB is the only color space available. ColorBand data type ...

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. Note that the main anaconda repository lags PyPI in ...

The difficult economic climate created by the COVID-19 pandemic called for sustained, strategic recovery programs. The federal American Rescue Plan Act (ARPA) provided the funding and framework ...

Visualization and visual analysis play important roles in exploring, analyzing, and presenting scientific data. In many disciplines, data and model scenarios are becoming multifaceted: data are often ...

Google AI Mode adds interactive charts for financial searches. See how this data visualization may affect SEO and content marketing strategies. Google AI Mode now creates custom charts and graphs ...