Map operator function
Hi. First off, this may or may not relate to RapidMiner's problem directly. It's just that i am stuck with my data, to go through with using Map operator (as part of ETL process). Please note that I am first and foremost a language student and I had to take this course as a requirement. So, i basically have zero knowledge on this.This is the data I'm using and as you can see, they are mostly numerical and just numbers. While the sample i learn how to use Map operator from, uses Map for changing types of Gender(attribute), or at least something other than numbers. The question is, can someone show me how we use Map operator for something very vast and has different values every time (e.g. passengers count, seats count, distance of flight like in the data)? I'm thinking, it may be possible if i choose only some of the data and use the Map operator for attributes like 'Destination_city'(which has more consistent data meaning there are 100 flights that leave from Nevada for example). But this is probably a whole another thing? I am confused. If theres anyone that can help me, I would greatly appreciate it.
p/s: i cannot post link to the data bc im still a newbie
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- Origin_airport: Three letter airport code of the origin airport
- Destination_airport: Three letter airport code of the destination airport
- Origin_city: Origin city name
- Destination_city: Destination city name
- Passengers: Number of passengers transported from origin to destination
- Seats: Number of seats available on flights from origin to destination
- Flights: Number of flights between origin and destination (multiple records for one month, many with flights > 1)
- Distance: Distance (to nearest mile) flown between origin and destination
- Fly_date: The date (yyyymm) of flight
- Origin_population: Origin city's population as reported by US Census
- Destination_population: Destination city's population as reported by US Census
Altair EmployeeHey,
can you maybe post example data and how you want to transform it?
Cheers,
Martin
The dataset has these attributes:
The task is to run the dataset through ETL process. But at this point, i think there is no attribute that needs to be mapped or changed. I was thinking to just skip this particular operator or still put it on the process canvas without changing/inputting anything in the parameters section and still be able to run the whole process.
Hello, I have a new question. I apologize and thanks in advance.
This is about using 'General Attributes' operator. How do I code here if I want to select 'Flights' that are more than 200 to be labeled as Active, and those under 200 flights as Nonactive?
It's something like this:
Active flights: >200
Non active flights: <200
Thank you so much.
Hi @Nairi ,
operator toolbox extension got an operator called "Replace Rare Values". Thats the easiest way.
Best,
Martin
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- Origin_airport: Three letter airport code of the origin airport
- Destination_airport: Three letter airport code of the destination airport
- Origin_city: Origin city name
- Destination_city: Destination city name
- Passengers: Number of passengers transported from origin to destination
- Seats: Number of seats available on flights from origin to destination
- Flights: Number of flights between origin and destination (multiple records for one month, many with flights > 1)
- Distance: Distance (to nearest mile) flown between origin and destination
- Fly_date: The date (yyyymm) of flight
- Origin_population: Origin city's population as reported by US Census
- Destination_population: Destination city's population as reported by US Census
Hey,
can you maybe post example data and how you want to transform it?
Cheers,
Martin
The dataset has these attributes: