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Exploratory Data Analysis to Build Applications for Android Developer

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

In this paper, authors used the Exploratory Data Analysis (EDA) that embodies different patterns and find useful tidings from Google play store application (app) data. The intrinsic objective behind this is to analyze the features of the dataset in order to help the developers to understand the trends within the market and the end user needs towards the application, as well as the mechanism of App Store Optimization (ASO) that leads to enhancement of the popularity of the developer app.

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References

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Author information

Authors and Affiliations

  1. B.V. Raju College, Bhimavaram, India

    Naidu Rajesh, Koppala Durga Prasad & Nibhanapudi Akhila

  2. Vishnu Institute of Technology, Bhimavaram, India

    Abhinav Dayal

Authors
  1. Naidu Rajesh
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  2. Koppala Durga Prasad
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  3. Nibhanapudi Akhila
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  4. Abhinav Dayal
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Corresponding author

Correspondence to Naidu Rajesh .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

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Cite this paper

Rajesh, N., Prasad, K.D., Akhila, N., Dayal, A. (2020). Exploratory Data Analysis to Build Applications for Android Developer. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_30

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