When you open a MongoDB collection, the data is all there, but that does not always mean it is easy to understand. You may have nested fields, many documents, different values, and too much information to scan manually. A raw collection can work as a storage view, but not always as a decision-making view. That is where a visual MongoDB graphical user interface becomes useful. Instead of going through each document individually, you may transform your collection data into a chart, filter the information using a visual query builder, construct an aggregation, and combine everything on one dashboard. Here, the same data from MongoDB is more convenient to interpret, demonstrate, and even distribute as part of your MongoDB documentation . In this tutorial, I will walk you through the process, from your collection data to your final dashboard, in just four steps. In this tutorial, I will walk you through the process, from your collection data to your final dashboard in just four steps.…