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, ...

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).

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 ...

In other words, graph can help you “connect the dots.” Examine the names of the data structures you are trying to analyze.

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 ...