?????????? ?????????? ???????????? ?????????? ?????? ?????????????????????????? ????????????????!
You think graphs are easy; Excel, Python or R are there to do them for you! But, not all graphs are good graphs. Avoid the following mistakes to ensure your graphs are effective.
(1) Overcrowding the graph with excessive data or elements, making it difficult to interpret.
(2) Using misleading scales or axes that distort the representation of data.
(3) Failing to label or title the graph clearly, causing confusion about its purpose or content.
(4) Neglecting to provide a clear and concise key or legend, leaving viewers guessing about the meaning of different elements.
(5) Choosing inappropriate or misleading chart types that don't effectively communicate the data.
(6) Overusing colors or patterns that hinder readability and distract from the main message.
(7) Ignoring data outliers or failing to address them appropriately, leading to misinterpretations.
(8) Omitting relevant context or not providing sufficient background information for the graph.
(9) Using excessive or unnecessary embellishments and decorative elements that add clutter and distract from the data.
(10) Failing to consider the target audience and their specific needs, resulting in a graph that doesn't resonate or convey the intended message effectively.