Creating data visualizations is not only about selecting the right tool, but also following best practices for design and communication. Before you start designing, ensure you understand your data, its source, its accuracy, and its limitations. Also, consider who your audience is, what they care about, what they already know, and what they want to learn. Have a clear and specific goal for your data visualization and a main message or takeaway that you want to convey. Then, craft a story around your data that supports your goal and message. Select the most appropriate and effective type of visualization to match your brand, tone, and audience. Additionally, avoid cluttering your data visualization with too much information or unnecessary elements. Simplify your data and focus on the most important aspects. Emphasize the key points and insights of your data using titles, captions, annotations, or callouts. Lastly, test it with yourself and others to see if it is clear, accurate, and engaging. Ask for feedback and suggestions to make adjustments as needed. Check for any errors or typos that might affect the quality and credibility of your data visualization.