The key elements to consider when creating figures/images/graphics for visualization include the purpose of the visualization, the target audience, the data being presented, the type of visualization (e.g. bar graph, pie chart, etc.), and the overall design and aesthetics.
Choosing the appropriate type of visualization for your data depends on several factors such as the type of data (e.g. numerical, categorical), the relationships between the data points, and the message you want to convey. It's important to consider the strengths and limitations of each type of visualization and choose the one that best represents your data and effectively communicates your message.
Some best practices for creating visually appealing figures/images/graphics include using a consistent color scheme, avoiding clutter and unnecessary elements, labeling all axes and data points clearly, and using appropriate fonts and font sizes. It's also important to ensure that the design is easy to understand and visually appealing for the target audience.
Labels and annotations are important elements in visualizations as they provide context and help viewers understand the data being presented. When using labels and annotations, make sure they are clear, concise, and placed in a way that doesn't clutter the visualization. Use them to highlight important data points or trends and provide additional information or explanations.
Some common mistakes to avoid when creating figures/images/graphics for visualization include using misleading or incorrect scales, not clearly labeling axes or data points, using too many colors or visual elements, and not considering the target audience. It's also important to avoid clutter and ensure that the visualization is easy to understand and accurately represents the data being presented.