How To Compute Rate of Change (ROC) using Python?

@addison 

Rate of change (ROC) is a measure of how a variable changes over time. It is calculated by taking the difference between the current value and the previous value and dividing it by the previous value.

Here is an example of how to compute the rate of change using Python:

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def calculate_roc(data):
    roc_values = []
    
    for i in range(1, len(data)):
        roc = (data[i] - data[i-1]) / data[i-1]
        roc_values.append(roc)
        
    return roc_values

# Example data
data = [10, 20, 30, 40, 50]

roc_values = calculate_roc(data)
print(roc_values)

In this code snippet, we define a function calculate_roc that takes a list of data points as input and calculates the rate of change for each consecutive pair of data points. The result is stored in the roc_values list.

You can replace the data list with your own data to calculate the rate of change for a different set of values.