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EaseMyTrip-Flight-Fare-Travel-Listings

EaseMyTrip-Flight-Fare-Travel-Listings

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context This dataset was created by our in house Web Scraping and Data Mining teams at PromptCloud and DataStock. You can download the full dataset here. This sample contains 30K records. Content Total Records Count : 199244 Domain Name : easemytrip.in Date Range: 01st Apr 2020 - 30th Jun 2020 File Extension :: csv Available Fields: Uniq Id, Crawl Timestamp, Source, Layover1, Layover2, Layover3, Destination, Flight Operator, Flight Number, Departure Date, Departure Time, Arrival Date, Arrival Time, Total Time, Number Of Stops, Fare Acknowledgments We wouldn't be here without the help of our in house web scraping and data mining teams at PromptCloud and DataStock. Inspiration This dataset was created keeping in mind our data scientists and researchers across the world.

16 features

Uniq_Idstring30000 unique values
0 missing
Crawl_Timestampstring3253 unique values
0 missing
Sourcestring158 unique values
0 missing
Layover1string145 unique values
1640 missing
Layover2string72 unique values
17848 missing
Layover3string12 unique values
29970 missing
Destinationstring89 unique values
0 missing
Flight_Operatorstring351 unique values
0 missing
Flight_Numberstring21665 unique values
0 missing
Departure_Datestring6 unique values
0 missing
Departure_Timestring306 unique values
0 missing
Arrival_Datestring15 unique values
0 missing
Arrival_Timestring285 unique values
0 missing
Total_Timestring731 unique values
0 missing
Number_Of_Stopsnumeric4 unique values
0 missing
Farenumeric8616 unique values
0 missing

19 properties

30000
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).
49458
Number of missing values in the dataset.
29970
Number of instances with at least one value missing.
2
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
12.5
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
99.9
Percentage of instances having missing values.
Average class difference between consecutive instances.
10.3
Percentage of missing values.

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