Data Visualization is the graphical representation of information and data, which employs an array of visual elements such as charts, graphs, and maps to provide an easy way to see and understand trends, outliers, and patterns in data. Our Data Visualization category delves into the various aspects and techniques of data visualization, offering articles that can help you design more effective, engaging, and impactful visual representations of data. Whether you’re a data analyst, a data scientist, a business intelligence professional, or simply a data enthusiast, this category offers a treasure trove of insights.
PowerBI has the ability to mashup data from different sources; this may introduce problems when joining or matching data between systems. I was able to get around this issue by leveraging an R script from an article in the community. As a consultant there is a rule that if you use something from the community, you need to give back and particularly if you use it twice, you have to write a blog post. This is such a post.
PowerBI has built-in date hierarchy features that seem to cause confusion in not only new users but experienced users. This article shows you how to avoid errors.
Data visualizations can become the vehicle that leads a reader through your narrative. Having an infographic or series of visuals allows one to tell a story and provide greater understanding than simply having text alone.
