Airline Data Analysis

Authors(3) :-Navuluri Madhavilatha, Bheema Shireesha, Chunduru Anilkumar

In the contemporary world, Data analysis is a challenge in the era of varied inters disciplines through there is a specialization in the respective disciplines. In other words, effective data analytics helps in analyzing the data of any business system. Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the decision-making process for all players of commercial aviation. The goal of our project is to get monthly wise statistics of airline data and taking particular airport as target we are further analyzing the data to get the hourly statistics. And also we are finding out the most popular source-destination pairs and calculating the average delays at every airport. The data for this project comes from the stat-computing.org website. In particular, in the year 2008 data 70,09,728 titles recorded there which includes information on the Origin, Destination, Month, Year, DayofWeek, DayofMonth, DepDelay, ArvDelay, DepTime, ArvTime and a few other less interesting variables. Conveniently, you can export the data directly as a csv file.

Authors and Affiliations

Navuluri Madhavilatha
Guest Faculty, Department of Computer Science and Engineering, Dr. APJ Abdul Kalam IIIT Ongole, Andhra Pradesh, India
Bheema Shireesha
Assistant Professor, Department of Computer Science and Engineering, Dr. APJ Abdul Kalam IIIT Ongole, Andhra Pradesh, India
Chunduru Anilkumar
Assistant Professor, Department of Computer Science and Engineering, Dr. APJ Abdul Kalam IIIT Ongole, Andhra Pradesh, India

Machine Learning, Data Mining, Big Data, Statistics, Data Visualization, Data Analytics, ASCII, SRS, GNU

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Publication Details

Published in : Volume 5 | Issue 1 | January-February 2019
Date of Publication : 2019-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 22-29
Manuscript Number : CSEIT19514
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Navuluri Madhavilatha, Bheema Shireesha, Chunduru Anilkumar, "Airline Data Analysis", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.22-29, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT19514
Journal URL : http://ijsrcseit.com/CSEIT19514

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