In the first part, some strange conclusions appeared to be drawn from data. Let’s try to explain what happened.
We analyzed a sequence of data (people entering a mall, measured every 7 minutes during the day for a month) that we assumed to be periodic. So we “converted” our data from time to frequency to identify the rush periods (and we “converted” it back to check how close we were). [...]
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This piece of data is lying (2/2).
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