From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
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Example: Analyzing call duration data - Python Tutorial
From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
Example: Analyzing call duration data
(electronic music) - [Instructor] We have a certain scenario where we have data sets of call duration, and this call duration is in minutes. What do we want to understand is what is the average value of the usage in terms of the call duration for each user? So we got a data set, we will look into it and we would like to understand that what is the average consumption of a user? How many minutes they're consuming? So this is just for 10 data points here, but it could be thousands and thousands of datasets. But to understand that, we are not going to look into each and every value, each and every data point. We want these kind of statistical techniques where we can understand the average or the central point by understanding the mean meeting and mode. So how do we do that? So for that we have to do some calculation. So here in this case, how we are going to calculate the average or a mean is we'll sum up all the different values, the data points here, and we'll divide it by the number…
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