Highlights
Task
Data binning is a useful technique for summarizing large data sets, particularly sets of continuous, or very fine-grained, data where a direct frequency analysis does not yield useful information. Rather than considering each individual data point, the data is gathered into bins representing a range of values so that while some information may be lost about the individual data points, more information about the overall distribution of the data values can be observed. For example, the ages of a population might be broken up into 5 year intervals to help summarize the age distribution; or the marks of a class might be broken up into 3 mark intervals to visualize the spread of results.
In this task you will create an interactive data binning program. Your program should:
Read data from a (user-specified) file, and then
Interact with the user via a simple menu interface, allowing them to:
specify the size of the bins to be used
display the frequency analysis based on the current bin size
save the results to a file
Task details
The task is broken into several stages which will be independently assessed.
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