These days, I have been reading and playing a lot with R, and I really come to love it...of course, I don't have a clue on those weird statistics formulas, but it doesn't mean I can't use R and try do some awesome stuff with it.

 

So, yesterday I was thinking about doing another integration between HANA and R, my new adopted kids, so I came with the idea of building a prediction model for a flight company. I followed this steps.

 

1.- First, I need to choose a table, so I picked SNVOICE:

 

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This table offers us, the carrier id, the date and book id, meaning the amount of tickets sold in a particular day. And from here when can do some calculation and determine how many tickets were sold in each month of a particular year.

 

2.- I needed a table to store my new information, so I created the table TICKETS_BY_YEAR:

 

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3.- I needed a Procedure script to analyse the table, determine the total amount per day of the month and then gave a grand total per month.

 

 

4.- Of course...I needed to call my Procedure...

 

 

5.- Once finished, I checked my table to see if everything worked as expected...

 

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6.- After realizing that my data was nice and clean, I exported to an .CSV file (Sorry...no pics this time...I already post it in a previous blog)

 

7.- I went to my R Studio and start coding...

 

 

8.- I watch my generated graphic showing the real tickets sale vs. the predicted tickets sale. The real is for every month of 2011 and the predicted for every month of 2012.

 

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9.- Nothing to do here...it's done -:)

 

10.- See you next time with more HANA, R or another nice technology.

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