Data and its visualization can be manipulated to achieve a desired result. This means:
Notice the random months, the y-axis starting at 150,000, and the fact that annual apprehensions have decreased substantially since 2018.
Do these numbers correspond to the line lengths?
Content is culture- and community-based; therefore:
What are wickets? what is a death over? what is odis? what's an ave?
Data visualization is information, and information has monetary value, so:
Using this chart, what areas are considered "Best" and more likely to attract home buyers?
Data visualization tells a story.
Each set of data relies on the data above it. Having the reasons next to the proposal means the reader doesn't have to hunt to find them.