I am working on an assignment related to data visualization critique and reconstruction. The assignment involves finding a problematic data visualization on the web with multiple issues that need improvement. Here$$s a general overview of the task:

Identify a Data Visualization:

I need to find a data visualization that has multiple problems, such as data integrity issues, perceptual issues $($like misleading color usage$),$ or ethical concerns $($e$.$g$.,$ perceived bias$).$ The visualization should be based on real data.

I should be able to access the original or equivalent data for reconstruction.

Deconstruct and Critique the Visualization:

I will identify the target audience and main objective of the visualization.

Then, I need to narrow down the three most significant problems with the visualization and explain why they are problematic.

Reconstruct the Visualization:

Using R and ggplot$2($other R$-$based packages are allowed, but not base graphical functions$),$ I will reconstruct the visualization to address the issues identified.

Could you help me better understand how to identify and critique key issues in a data visualization, or guide me on how to improve aspects such as data integrity or visual ethics? I$\text{'}$m not asking for the assignment to be completed but would appreciate guidance on best practices for this type of task.