Some Complications in Datasets
Capturing Dates & Times
Dates and times can be very valuable and interesting
information. For example, a customer’s sign-up date on a credit
card is an indication of the customer’s tenure (how long the
customer has been with the company), cohort (a group of people joining
at the same time), etc. An end date is an indication of customer turnover.
The distance between start and end dates is an indication of total
tenure or retention. Times during the day might be captured in situations
such as employee shift-work; for instance you might log call center
agents in and out, and capture this data. Therefore, capturing and
analyzing dates and times can be very important.
Capturing dates or times is easy enough. All ...
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