The usage of big data analytics is booming today, with its ability to be used to draw useful insights from past data research. Its uses in the aviation industry have a wide array of applications ranging from predicting flight delays to detecting faults in airplane parts. In this paper, we conducted exploratory data analysis on flight dataset to draw inferences on arrival and departure delays and to identify relationships between flight timings and delays. Using the flight delay data, we identified which flight is mostly prone to delays. The arrived upon conclusions are useful for selecting flights in the future.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploratory Data Analysis on Aviation Dataset


    Beteiligte:
    Firdous, Saba (Autor:in) / Fathiya, Haseeba (Autor:in) / Sadath, Lipsa (Autor:in)


    Erscheinungsdatum :

    2021-03-17


    Format / Umfang :

    2138206 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Challenges and Opportunities: A Strategic General Aviation Exploratory Analysis for 2030

    Gao, Zhenyu / Lin, Po-Nien / Chakraborty, Arpan et al. | AIAA | 2018


    Application of RFID in Aviation Industry: An Exploratory Review

    Alok Mishra / Deepti Mishra | DOAJ | 2010

    Freier Zugriff

    Customer service in the aviation industry – An exploratory analysis of UAE airports

    Arif, Mohammed / Gupta, Aman / Williams, Aled | Elsevier | 2013



    Challenges and Opportunities: A Strategic General Aviation Exploratory Analysis for 2030 (AIAA 2018-2009)

    Gao, Zhenyu / Lin, Po-Nien / Chakraborty, Arpan et al. | British Library Conference Proceedings | 2018