How can you optimize data visualizations for print?

1 Choose the right format

The first step is to choose the right format for your data visualization. Depending on your purpose, audience, and printing options, you may prefer a PDF, PNG, JPEG, or SVG file. Each format has its pros and cons in terms of quality, size, compatibility, and interactivity. For example, PDF files can preserve the vector graphics and fonts of your visualization, but they may not support some interactive features or animations. PNG files can offer high resolution and transparency, but they may be larger and slower to load. JPEG files can compress your images and reduce the file size, but they may lose some details and colors. SVG files can scale your graphics without losing quality, but they may not be compatible with some printers or applications.

2 Adjust the size and resolution

The next step is to adjust the size and resolution of your data visualization to fit the print dimensions and avoid distortion or pixelation. You can use the print preview function of your BI tool or application to see how your visualization will look on paper. You can also use the crop or resize tools to trim the excess margins or white space. The resolution of your visualization should be at least 300 dpi (dots per inch) for print, which is higher than the typical 72 dpi for web. You can check the resolution of your file by using the properties or details function of your file explorer or image viewer.

3 Simplify the design and colors

The third step is to simplify the design and colors of your data visualization to make it easier to understand and interpret on paper. To this end, you should use a simple and consistent font that is large enough to read, as well as a clear and logical title, legend, axis labels, and annotations. Additionally, it is important to use a color scheme that is appropriate for your data type and audience. You can use online tools like ColorBrewer or Adobe Color to find suitable color palettes for your visualization. Moreover, you should use simple and effective chart types that convey the data accurately and intuitively. You can use online resources like Data Viz Project or Chart Suggestions to find the best chart types for your data. By following these guidelines, you can improve the readability and aesthetics of your visualization.

4 Test and refine your visualization

The final step to creating a successful visualization is to test and refine it before printing. To do this, print a sample of your visualization on the paper and printer you will use for the final product and check the quality, clarity, and alignment. Additionally, ask for feedback from colleagues, clients, or stakeholders and incorporate any relevant suggestions or comments. Lastly, review your visualization for any errors, typos, or inconsistencies that may affect its credibility or professionalism. By following these steps, you can optimize your data visualizations for print and deliver impactful and attractive reports, presentations, or publications from your BI data.

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?