Can someone tell me how I can 'normalize' my dataset?(adsbygoogle = window.adsbygoogle || []).push({});

My scenario is as follows.

I have two datasets,A(real-life data) andB(simulated data).

Dataset Acontains4 numerical values(from an actual experiment):

-> E.g. 4 leaves from a binary tree each assigned with values 12.5,13.5,20.0 and 45.0.

Dataset Bcontains40 numerical values(from a simulation done by the computer):

-> E.g. 40 leaves from a total of 10 binary trees where each tree produces 4 leaves with randomly assigned numerical values for each leaf.

For both datasets, I have computed their respective cumulative frequencies and plotted their respective charts using MS Excel e.g. [Cumulative frequencies of leaf values VS Leaf values]. This was to observe how similar/different are both of these data sets, where the smaller the vertical displacement between the two plots implies that both datasets are less different.

I was instructed tonormalizemy data from Dataset B and re-plot the chart for a better comparison between set A and set B.

How can I do this (and why is this important?)?

An example based on the situation described here will help a great deal. Thanks in advance.

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# How to Normalize a simulated dataset to fit the actual dataset?

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