To experience the breadth of Excel’s data visualization offerings, let’s take a tour of some of the most useful charts, starting with the basic ones and moving to the more advanced. To follow along, ...

Graphs are used to model complex systems, and GNNs provide a way to analyze and make predictions based on the structure of the graph. GNNs are a type of deep-learning algorithm that can operate on ...

A bar chart is useful when you want to do a quick side-by-side comparison of categorical data (e.g., countries, colors, types of software, modes of transport, marital statuses).

ArangoDB: Suitable for startups and SMBs, ArangoDB is a multi-model database that supports graph, document, and key/value data models.

An organizational chart is a way to convey an organization's structure, highlighting the different jobs, departments, and responsibilities that connect the company's employees to each other and to ...

Graph neural networks (GNN) are a type of machine learning algorithm that can extract important information from graphs and make useful predictions. With graphs becoming more pervasive and richer ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.