Choosing the right tool is essential for effective data visualization and communication, but it is not enough. You should also consider your audience and purpose, select the most suitable type of visualization, simplify and highlight the key points, tell a story that connects the data to the context, and invite feedback and dialogue. Before creating and sharing your data visualizations and reports, you need to understand who your audience is, what they need to know, and what you want them to do with the data. Depending on your data and message, you can use bar charts for comparison, line charts for trends, pie charts for proportions, scatter plots for correlations, etc. To avoid clutter and confusion, remove unnecessary elements such as grid lines, borders, labels, legends, etc., and use colors, shapes, sizes, annotations to highlight the important points. Additionally, titles, subtitles, captions, headings and bullet points can be used to guide your audience through your data story. Finally, you should invite feedback and dialogue from your audience by using questions, prompts, suggestions or challenges.