In what ways can data be misleading or misinterpreted, even when statistical concepts are applied correctly? How can Python be used to identify and address these issues? Provide examples from real$-$world situations.

Prepare your answer as follows:

Create a diagram, table, or other visual prop to help explain your answer and include $12$ sentences describing the visual.

Include a Jupyter notebook with the relevant Python code you created.

Include $12$ scholarly references documented according to the guidelines found in the APA Style Guide, located in the Student Success Center.

Record a short $2-$ to $3-$minute video $($using tools like Zoom or Loom$),$ in which you explain your answer and code. Use an online video platform such as Loom, YouTube, or Vimeo to upload your completed video. Include the link to the video in your answer.