Define "data storytelling."

Data storytelling is fundamentally the practice of using data to tell a compelling narrative that conveys insights and findings. This approach combines analytical thinking with communication skills, allowing analysts to present data in a way that is engaging and understandable for their audience. The narrative aspect is crucial because it helps contextualize the data, enabling the audience to see the bigger picture, make connections, and understand the implications of the insights being presented. By weaving a story around the data, it becomes more relatable and easier to grasp, fostering better decision-making based on the insights derived from the analysis.

In contrast, other options focus on unrelated aspects. For instance, the creation of visual aids without data lacks the required analytical foundation to tell a story. Merely entering data does not communicate insights or findings, and preserving data integrity pertains to the accuracy and consistency of data rather than its narrative or storytelling role. Each of these aspects does not encapsulate the essence of data storytelling, which hinges on the interplay between data, narrative, and audience engagement.