Error Load Statistics

Home > Select Project > Statistics > Browser Error Statistics

In Browser Error Statistics, you can efficiently analyze errors that have occurred by visually providing the overall error status. With various filter options, you can group the desired data or retrieve information that meets specific conditions, enabling more detailed error analysis.

Checking the error load statistics

Through numerical error messages, you can monitor error occurrence trends in real time and analyze the occurrence count and trend for each error. Set the time range to query to check the error status of that time zone through a chart and list. When you select a specific section in the bar chart, you can see the error status of that section in the error table.

1. Go to Statistics > Browser Error Statistics menu.

2. In Time, set the date and time to query the error statistics.

   • Configurable time range: Minimum 5 minutes, maximum 3 days

   • Data query unit: 2 hours or less → 5-minute intervals, more than 2 hours → 1-hour intervals

3. Select the conditions to query through Filter and Group by.

4. Click the button on the upper right of the screen.

5. Check the load count trend by error message chart and the error message list.

   • The error status for the selected time range is provided as a chart and list. When you select a specific section in the bar chart, you can see the error status of that section in the error table.
   Tip

   Checking user session logs

   Click the icon in the error message list to navigate to User Session Log Search. You can check the results by applying the selected error type and message as filters.

Selecting the grouping criteria

You can select a grouping option to group the error data based on specific criteria. The grouping criteria include No grouping, Broswer, Error type, Operating system, and Device. Users can view grouped summary information for analysis purposes, or query individual error items as needed.

• No grouping: Data is listed as individual items, allowing you to directly check the number of occurrences for each item.

• Broswer: Groups the data by the browser that caused the error.

• Error type: Groups the data by error type.

• Operating system: Groups errors by the user's operating system. It is useful for analyzing compatibility issues by operating system or errors that occur in specific environments.

• Device: Groups error data by device type.

Load count trend by error message

By visualizing the number of errors occurring for each time zone in the bar chart, you can easily check the frequency of errors in a specific time zone. When you select a specific section in the bar chart, you can see the error status of that section in the error table.

• Grouping not applied

  You can visualize the total number of errors by time zone in a single graph to understand the overall error occurrence trend.

• Grouping applied: Browser, Error Type, OS, Device

  You can visualize the number and proportion of errors by group using the stack chart and donut chart to analyze the number of occurrences by time zone in more detail.

Error message list

It provides detailed information such as error messages, number of occurrences, error types, OS, and browser in table format. This table allows you to easily check additional information about each error message.

• Grouping not applied

  If you do not group the data, all data is listed as individual items. This allows you to directly check the number of occurrences for each item and error messages.

• Grouping applied: Browser, Error Type, OS, Device

  You can organize the data into a tree structure by grouping it according to the selected criteria. You can also expand/collapse sub-items using the icon for more efficient navigation.

Icon item	Description
	You can save the queried data as a CSV file. Click the CSV button on the right of the error message list area. - CSV file name: Error_LoadStatistics_YYYYMMDD_HHMMSS.csv format
	Click the icon in the error message list to navigate to User Session Log Search. You can check the results by applying the selected error type and message as filters.

Interpreting the queried results with AI Analysis

Click the AI Analysis button on the option bar to have WhaTap AI read the error trend and the error message list currently on screen and report what it finds. Use it to group similar error messages, or to find errors concentrated in a particular browser or OS version. The button shows an icon only; hover over it to see its name in a tooltip.

1. Set the query conditions and click the button to query the data.

2. Click the AI Analysis button on the option bar.

3. The AI Analysis drawer opens on the right of the screen and the result is displayed as a stream.

• Browser error statistics collect occurrence counts only, so the result does not include elapsed time metrics either.

• If the time input is invalid, the button is disabled. Hover over it to see the reason, An invalid time is selected.

Note

For how AI Analysis behaves in common and the data scope it uses, refer to the following document.

Columns and terms

Column	Description
Error Message	Content of the error message that occurred
Count	Number of times the error message occurred
Error Type	Type of the error
OS	Operating system on which the error occurred
Browser	Browser on which the error occurred

Error types

Error types (Error Type) that occur in the browser are as follows.

• console: This developer-defined error appears on the browser console.

• onError: This error occurs when a specific resource fails to be loaded or a script error occurs.

• fetchError: This error occurs when sending HTTP requests through the fetch API.

• xhrError: This error occurs when sending HTTP requests through XMLHttpRequest (XHR).