Question

what is the difference between sum and cumulative sum? how do you perform the two on dataframe? ​

Answer 1

Answer:

The cumulative sum is not the cumulative sum of the values. Instead it is the cumulative sum of differences between the values and the average. ... The amounts added to the cumulative sum will be positive and the sum will steadily increase.

Answer 2

Answer: - The difference between the sum and the cumulative sum is that the sum is the term that is used to represent the total. The sum combines the data in an array to a single number, whereas the cumulative sum is the term used for the data to make run its total, i.e., running the total of the data.

                 We can use cumsum () function to perform the cumulative sum in a DataFrame, and the sum () function to get the sum of values of the data can be performed in the DataFrame. The dataframe.sum will be the “running total” of the data.

Detailed answer: -

About the Cumulative sum: -

• The cumulative sum is the cumulative sum of the differences between the values and the average in the given data.
• It is not the sum of the data given.
• The amounts that are added to the cumulative sum, those amounts will be positive, and the sum will increase steadily or continuously.

About the SUM: -

• The Sum is the simple function that is used to find the sum of all the given values in the data.

• When we take few numbers or two numbers of the values and then perform a sum to get the total of those values, we get its sum.

And,

• When we perform the cumulative sum using the function Cumsum of the same data, we will get the differences between those values in the data as cumulative sum gives the output of the difference of the values.

To know more about the topic, visit the below links: -

https://brainly.in/question/18287715

https://brainly.in/question/1378733

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