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The discussion centers on plotting timestamp data from a dataset where timestamps are embedded within each row. The original poster seeks guidance on how to visualize the distribution of these values using Python. Participants suggest that stripping off seconds and milliseconds from the timestamps should simplify the process. They recommend using spreadsheets, which offer various time display options and built-in plotting capabilities. For those familiar with programming, alternatives like C, VB.NET, or awk are mentioned as effective methods for processing the data. Specifically, awk is highlighted for its simplicity in extracting specific columns from the dataset, facilitating easier plotting afterward.
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