ClaudeTi
ClaudeTi

Reputation: 15

Prediction On Seasonal Data

I am looking to predict values based on seasonal data. Bonuses are paid quarterly/ annually/ monthly and amount usually goes up after couple of time periods. Data is given below. I have converted the Bonus event as the numerical value (Yes = 1, No = 0). I have tried using Excel's forecast functions but it was not useful.

Is there a package with the help of which I can predict Next Month & Amount of Bonus? where the recent data points have higher weightage than the older ones.

My dataset has about 10 years worth of data and about 10,000 personnel. So, it is not possible to predict both Month and Amount manually. I am trying to predict the next Bonus Month and Amount.

Date Bonus Amount
Jan-15 0 000
Feb-15 0 000
Mar-15 1 100
Apr-15 0 000
May-15 0 000
Jun-15 1 100
Jul-15 0 000
Aug-15 0 000
Sep-15 1 145
Oct-15 0 000
Nov-15 0 000
Dec-15 1 145
Jan-16 0 000
Feb-16 0 000
Mar-16 1 145
Apr-16 0 000
May-16 1 150
Jun-16 0 000
Jul-16 0 000
Aug-16 1 150
Sep-16 0 000
Oct-16 0 000
Nov-16 1 150
Dec-16 0 000

Thanks for the help.

Upvotes: 0

Views: 149

Answers (1)

faremal
faremal

Reputation: 60

Have a look at Pandas package (https://pypi.org/project/pandas/). The problem you have is fundamental time series analysis as far as I can tell and there are many guides online on how to implement it (just search for ARIMA pandas).

Upvotes: 0

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