In data science, visualization is more than a presentation tool. It plays a critical role in exploring data, communicating insights, and supporting decision-making. However, when visuals are unclear or poorly designed, they can mislead audiences and distort the true message behind the data.  Whether intentional or accidental, misleading graphs can harm trust, create confusion, and…

Data Science is evolving rapidly, and one of the most transformative shifts in recent years is the move toward multimodal data processing. Traditionally, data scientists worked with structured datasets or focused on one type of data, such as numerical tables or text documents. But in today’s world, data comes in a variety of forms: text,…