If you educe applications that share data with users youre likely to have demandments to present a graph chart dashboard or other data visualization embedded in the application. This cleverness helps users better apprehend the data and find insights and it improves the user experience. When nation see well-designed data visualizations they use the application more and are more satisfied with the results.
As a educeer you might be excited to educe charts and graphs with code and there are enough of charting frameworks you can use to customize data visualizations. But precedently you launch on accesses that demand frameworks libraries and coding I commend looking at data visualization tools that have embedded analytics features. Modern data visualization tools not only make it easier to form the visualizations but manyly prepare the capabilities to embed them in or liberate them straightly through a web or mobile application.
By opposition even though visualization libraries may be easy to use for the educeer they may not be an optimal educement access for embedding analytics where many iterations are demandd. This is especially the case in areas like journalism and marketing where the goal is to let users design educe and publish data visualizations without requiring support from educeers and technologists.