This section of Boutell.com collects example material related to Wusage and the broader topic of web usage analysis. Examples are often the most effective way to understand log processing and traffic reporting because they show how raw request data can be turned into meaningful summaries about website activity.
Web servers generate logs that record requests for pages, images, downloads, and other resources. On their own, these logs can be difficult to read in large quantities. Analysis tools help by organizing that information into reports that highlight common patterns such as page popularity, referring sites, browser types, and periods of high or low traffic. Looking at examples makes it easier to see what these reports reveal and how they can be used in practice.
Sample reports may include summaries of daily visits, hourly traffic patterns, top requested files, referrer lists, error statistics, and user agent breakdowns. These examples can be useful for site owners who want to understand what analytics reports mean, for developers who are building or testing reporting tools, and for anyone interested in how server-side data reflects real-world use of a website.
Examples are also valuable because they highlight the limitations of interpretation. A request in a log does not always correspond to a human page view. Automated crawlers, cached resources, repeated asset requests, and proxy behavior can all affect the numbers. Reviewing example output helps illustrate both the strengths and the ambiguities of usage analysis.
In a practical setting, example reports can serve as templates for comparison. They can help identify what a healthy traffic pattern looks like, what kinds of anomalies may suggest a technical problem, and how changes to site structure or content might appear in usage data. This can be helpful whether a site is very small or handling a large volume of requests.
As additional example material is added, this section can serve as a reference point for understanding how log-based reporting works and why it remains useful. Even in a world of modern dashboards and event-driven analytics, the ability to read and interpret server activity still provides valuable insight into how websites are being accessed.