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Air-Traffic-Data

Air-Traffic-Data

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Stewart
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San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline. Airport data is seasonal in nature, therefore any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Passenger Counts belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Passenger Counts as desired.

16 features

Activity_Periodnumeric129 unique values
0 missing
Operating_Airlinestring77 unique values
0 missing
Operating_Airline_IATA_Codestring73 unique values
54 missing
Published_Airlinestring68 unique values
0 missing
Published_Airline_IATA_Codestring64 unique values
54 missing
GEO_Summarystring2 unique values
0 missing
GEO_Regionstring9 unique values
0 missing
Activity_Type_Codestring3 unique values
0 missing
Price_Category_Codestring2 unique values
0 missing
Terminalstring5 unique values
0 missing
Boarding_Areastring8 unique values
0 missing
Passenger_Countnumeric11699 unique values
0 missing
Adjusted_Activity_Type_Codestring3 unique values
0 missing
Adjusted_Passenger_Countnumeric11702 unique values
0 missing
Yearnumeric12 unique values
0 missing
Monthstring12 unique values
0 missing

19 properties

15007
Number of instances (rows) of the dataset.
16
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
108
Number of missing values in the dataset.
54
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
Average class difference between consecutive instances.
25
Percentage of numeric attributes.
0.04
Percentage of missing values.
0.36
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

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