The document discusses selecting the right chart for data visualization. It recommends identifying the key message, rearranging the data accordingly, choosing an appropriate chart type, and formatting the chart for clarity. Specific tips include asking what you want to say, using common chart types for comparisons, distributions, parts-to-whole, trends over time, and relationships, removing non-essential elements, and using descriptive titles and proper scaling. Tools like Juice Analytics Chart Chooser and BonaVista Chart Tamer can help select the right chart.