Скачать или смотреть Data Visualization: Presenting data in a visually appealing way.

Choose the Right Chart Type

Select visual formats that best represent your data. For example, use bar charts for comparisons, line charts for trends, and pie charts for proportions.

Keep Visuals Simple and Clear

Avoid clutter, unnecessary effects, and excessive text. Simplicity helps viewers focus on the key message without distraction.

Use Consistent Colors and Fonts

Maintain uniformity in design to make your visuals professional and easy to interpret. Use colors strategically to emphasize important data points.

Highlight Key Insights and Trends

Draw attention to the most important findings using color contrast, annotations, or callouts to help viewers quickly grasp the message.

Provide Accurate Labels and Scales

Ensure all axes, legends, and labels are clear and accurate to prevent misinterpretation of the data.

Use Interactive Dashboards for Engagement

Incorporate interactive features like filters and drill-downs (in tools like Tableau or Power BI) to allow users to explore the data on their own