According to best practices in analytical reporting, which of the following is advised?

Citing all data without bias is crucial in analytical reporting because it enhances the credibility and accuracy of the report. This practice involves presenting a balanced view of the subject matter, which allows readers to see the full context of the analysis. By including both supporting and opposing data, the analyst provides a comprehensive understanding of the issue, enabling informed decisions and fostering trust with the audience.

Using a bias-free approach ensures that the analysis is not skewed to mislead or manipulate the audience, which is especially important in professional and academic settings. Furthermore, an unbiased presentation of data helps prevent misinterpretation and encourages critical thinking among readers.

In contrast, the other options suggest practices that may undermine the integrity of the report. Focusing solely on data that supports a thesis can lead to confirmation bias, while limiting the analysis to visual aids does not provide a thorough understanding of the topic. Ignoring quantitative data by focusing solely on qualitative research may result in incomplete insights. Hence, citing all data without bias aligns with best practices in creating a well-rounded analytical report.