What is one way to fine-tune a data set in FortiAnalyzer?

Fine-tuning a dataset in FortiAnalyzer enhances the relevance and clarity of the analysis you're conducting. One effective method to achieve this is by setting a group, order by, and sort filter. This approach allows you to organize the data according to specific attributes and criteria, making it easier to identify trends, anomalies, or important patterns within large sets of information.

By grouping data, you can aggregate similar items together, which helps in a more coherent understanding of the relationships between different data points. Ordering the data based on specified fields facilitates a structured view, enabling users to see the most pertinent information at a glance. Moreover, applying sort filters lets you arrange the output in a way that highlights key aspects, such as sorting by the highest or lowest values, which can reveal insights that might otherwise go unnoticed.

In contrast, while adding more columns, limiting results, or setting the device and time frame can also contribute to data analysis, they do not inherently provide the same level of fine-tuning that grouping, ordering, and sorting offer. These options may streamline results or define the dataset's boundaries, but they do not enhance the interpretative organization of the data itself as effectively as the chosen method.