What are the best ways to visualize data for real-time process monitoring?

2 Use colors, shapes, and labels wisely

The next step to visualize data for real-time process monitoring is to use colors, shapes, and labels wisely to enhance your charts and make them more readable and informative. Colors can help you highlight important data points, group similar data, or create contrast and hierarchy. Shapes can help you differentiate data categories, add symbols or icons, or create patterns and textures. Labels can help you add titles, legends, axes, annotations, or tooltips to your charts and explain what they mean and how to interpret them. However, you should also avoid using too many colors, shapes, or labels that can clutter your charts and distract from the main message.

3 Make your charts responsive and interactive

The final step to visualize data for real-time process monitoring is to make your charts responsive and interactive to adapt to different devices and scenarios and to engage your audience. Responsive charts can adjust their size, layout, and format according to the screen size and resolution of the device they are displayed on, ensuring that they are always clear and accessible. Interactive charts can allow your audience to explore, filter, zoom, or drill down into your data, giving them more control and flexibility and revealing more details and insights. You can use tools like Plotly or Highcharts to create responsive and interactive charts in various languages and frameworks.