The first commandment of data visualization is to define or identify the purpose—i.e., what to visualize or show. Purpose comes from knowing your stakeholders and their objectives.

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas ...

Which tools should be used to meet the objective of an audit procedure is a matter of the auditor’s professional judgment. Tools used to perform audit data analytics can be as simple as spreadsheet ...

Data visualization Identify biased data Background: Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, ...

As the data can change, it is a best practice to create test automations on data visualizations that run in continuous integration and continuous delivery (CI/CD) pipelines but can also run as ...

But a quality visualization of strong data will always be a useful tool for marketing and have value to a journalist. The following eight tips will help you to make your data visualization more ...

The data visualization tool supports more than 120 data source connectors. This includes sources such as Salesforce, Marketo, Github, Facebook, Google Analytics, Excel, SQL Server and others.

It's early days, but examples of 3D data visualizations hint at big changes to come in how we interact with data. Recently, I spoke with Simon Wright, Director of AR/VR for Genesys, about one such ...

Virtualitics’ 3D-centric data visualization platform. “Traditional data exploration tools have limited capabilities in identifying and visualizing the complexity of today’s data,” he said.

Data Visuaulization with the Vega-Lite library (not Observable’s Plot) from the University of Washington Interactive Data Lab (if you’d like to try another visualization library with Observable).

Congratulations, you now have a very powerful data visualization tool at the ready. Next time around, we’ll take a look at how to connect a data source to Redash.