As a diagnostic step, temporarily disable certain CSS rules to see if they are causing the display problems.
Use browser developer tools to inspect the chart elements and their associated CSS to identify any layout or styling conflicts.
Search the library's documentation or community forums for known issues related to rendering or data display.
If possible, update the charting library to the latest stable version, which may contain bug fixes.
If data is transformed before charting, examine the logic for any errors that might be corrupting the data.
Check the raw data being fed into the reporting system for any anomalies, missing entries, or incorrect data types.
Corrupted cache or cookies can sometimes interfere with how web pages load and display elements.
Attempt to view the reports in an alternative, up-to-date browser to see if the issue persists.
Rewrite the logic within the trigger or stored procedure to ensure it correctly handles existing records and prevents duplicates.
If suspected, temporarily disable the trigger or procedure and test the system to see if the duplication stops.
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Different browsers can interpret and render web content, including charts, in slightly different ways. Incompatibilities or bugs in the browser's rendering engine can lead to display problems.
Incorrectly formatted data, missing values, or data type mismatches can cause charting libraries to misinterpret and misplace data points or fail to render labels correctly.
The JavaScript charting library or framework used to generate the visuals might have a bug that is triggered by specific data sets or rendering conditions.
Issues with the website's responsive design implementation or conflicting CSS rules can distort the layout and appearance of charts, leading to misplaced elements and unreadable text.
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