How To Make a Twitter Graph with Slash GraphQL

See how using Slash GraphQL and data from Twitter can provide graph visualization [link analysis] to identify unexpected nodes and links.

Continuing my personal journey into learning more about Dgraph Slash GraphQL, I wanted to create a graph visualization of data stored in a graph database. Graph visualization (or link analysis) presents data as a network of entities that are classified as nodes and links. To illustrate, consider this very simple network diagram:

While not a perfect example, one can understand the relationships between various services (nodes) and their inner-connectivity (links). This means the X service relies on the Y service to meet the needs of the business. However, what most may not realize is the additional dependency of the Z service, which is easily recognized by this illustration.

graphdb dgraph graphql ngx-graph data-visualization

Visual Analytics and Advanced Data Visualization - How CanvasJS help enterprises in creating custom Interactive and Analytical Dashboards for advanced visual analytics for data visualization

Visualization Best Practices for Data Scientists. Disclaimer: The ideas presented in this article are from the book: Story Telling With Data by Cole Nussbaumer Knaflic.

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

The Importance of Data Visualization - It is the process of converting raw data at hand into easy and understandable image-photo-graphics for fast, effective and accurate…

How to use graphs effectively while working on Analytical problems. Data visualization is the process of creating interactive visuals to understand trends, variations, and derive meaningful insights from the data. Data visualization is used mainly for data checking and cleaning, exploration and discovery, and communicating results to business stakeholders.